EAI Endorsed Transactions on Cloud Systems
type: channel
description: The EAI Endorsed Transactions on Cloud System (ToCS) is an international venue for publishing innovative and cutting edge results on the convergence of next-generation technologies and methodologies reshaping our way of living. The emerging converged platform for growth and innovation is built on four technology pillars: mobile computing, cloud services, big data and analytics, and social networking. INDEXING: CrossRef, Google Scholar, ProQuest, EBSCO, CNKI, Dimensions
publisher: European Alliance for Innovation (EAI)
language: en
publication name: EAI Endorsed Transactions on Cloud Systems
issn: 2410-6895
copyright: This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
items: Application Programming Interface (API) Security in Cloud Applications
items: System Modeling and Artificial Neural Network (ANN) Design for Lateral and Longitudinal of F-16
items: Neural Networks Application for the Data of LQG Regulator for the Flexible Joint Robot
items: The application of a optimal controller for the flexible joint robot
items: Investigating the IoT Security and Privacy Challenges: Summary and Recommendations
items: Social Aspect of Vehicular Communications
items: Service Co-evolution in the Internet of Things
items: Achieving Assistive Technology Systems Based on IoT Devices in Cloud Computing
items: Multipath Bandwidth Scavenging in the Internet of Things
items: BETaaS platform – a Things as a Service Environment for future M2M marketplaces
items: Welcome message for the Special issue on: IoT-as-a- Service from the Editors-in-Chief
items: Large Scale Cross-media Data Retrieval based on Hadoop
items: A New QoE-Driven Video Cache Allocation Scheme for Mobile Cloud Server
items: A Dynamic Self-adaptive Resource-Load Evaluation Method in Cloud Computing
items: Cloud-based IoT Analytics for the Smart Grid: Experiences from a 3-year Pilot
items: Accessible Wayfinding Testbed: Infrastructure and Components
items: Solving Queueing Network Models in Cloud Provisioning Contexts
items: Modeling user and topic interactions in social networks using Hawkes processes
items: PerfCenterLite: Extrapolating Load Test Results for Performance Prediction of Multi-Tier Applications
items: A Model Transformation Tool: PMIF+ to QNAP
items: Hybrid Scheduling for Quality of Service Guarantee of Multimedia Data Flows in Software Defined Networks
items: PETFEN: A Performance Evaluation Tool for Flow-Level Network Modeling of Ethernet Networks
items: Specifying and Monitoring Properties of Stochastic Spatio-Temporal Systems in Signal Temporal Logic
items: Design of novel screening environments for Mild Cognitive Impairment: giving priority to elicited speech and language abilities
items: On the Performance of General Cache Networks
items: Towards an Interactive Experiment Framework: DynamiQ
items: Defining an Elasticity Metric for Cloud Computing Environments
items: Cloud based Software Defined Wireless Body Area Networks Architecture for Virtual Hospital
items: Using Cloud-assisted Body Area Networks to Track People Physical Activity in Mobility
items: Notos: Efficient Emulation of Wireless Sensor Networks with Binary-to-Source Translation

Application Programming Interface (API) Security in Cloud Applications
type: item
description: Many cloud services utilize an API gateway, which enables them to be offered to users through API platforms such as Platform as a Service (PaaS), Software as a service (SaaS), Infrastructure as a Service (IaaS) and cross-platforms APIs. APIs are designed for functionality and speed by developers who write a small portion of code, which has visibility and is secure. The code that is created from third-party software or libraries has no visibility, which makes it insecure. APIs are the most vulnerable points of attack, and many users are not aware of their insecurity. This paper reviews API security in cloud applications and discusses details of API vulnerabilities, existing security tools for API security to mitigate API attacks. The author’s study showed that most users are unaware of API insecurity, organizations lack resources and training to educate users about APIs, and organizations depend on the overall security of the network instead of the security of standalone APIs.
subject: Commentary
  topic: section
subject: Cloud API
  topic: keywords
subject: Cybersecurity
  topic: keywords
subject: zero trust.
  topic: keywords
subject: Cloud Security
  topic: keywords
subject: API Security
  topic: keywords
subject: Cloud/API Security
  topic: keywords
creator: Farhan Qazi
rights: Copyright (c) 2023 Farhan Qazi https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2023-10-17
publication date: 2023-10-17
starting page: e1
ending page: e1
doi: 10.4108/eetcs.v7i23.3011

System Modeling and Artificial Neural Network (ANN) Design for Lateral and Longitudinal of F-16
type: item
description: Today, the classical control methods are still widely used because of their excellent performance in a working environment with conditions of geo-graphical distance. They are suitable for functions of the system: more flexible operating system, easy to perform, less unwanted ricks occur, the efficiency of controlling a system better. Besides the traditional control methods, the author has applied more modern and smarter algorithms such as artificial intelligence to control a system on the ground or a system moving in the air. In this paper, artificial neural network (ANN) is applied for a flight model to demonstrate its effectiveness in all cases. ANN in this article to show off its amazing application for flying devices. This is a useful method because it is highly secure. Simulation is done by Matlab.
subject: Research article
  topic: section
subject: Linear Quadratic Gaussian (LQG)
  topic: keywords
subject: F-16
  topic: keywords
subject: Kalman filter
  topic: keywords
creator: Nguyen Cong Danh
rights: Copyright (c) 2022 Nguyen Cong Danh https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2022-11-18
publication date: 2022-11-18
starting page: e8
ending page: e8
doi: 10.4108/eetcs.v7i22.2867

Neural Networks Application for the Data of LQG Regulator for the Flexible Joint Robot
type: item
description: This paper describes the investigation of a flexible robotic arm with Degree of Freedom (DOF) through Linear Quadratic Gaussian (LQG) regulator under the influence of noise signals with using diagrams below. The derived model is based on the Euler-Lagrange approach while LQG mode is proposed as a modern control method. A flexible robotic arm that is test in the modern regulator is essential for applications. This is even more interesting while these arms have joints that work independently of each other, but they still ensure a tight connection between the joints. Testing the stability characteristics of the system through this regulator helps readers determine the output signals of a system exactly. From here, the author came up with strategies the match the requirements. Although the initial stage of the operating cycle is not stable with the use of LQG regulator, most of later stages of this process of closed systems of robotic systems gradually become stable. In particular, adjusting LQG for flexible joint robot gives satisfactory simulation results. This promises a positive result of other joint robot. Neural networks applied in this paper have proven its effectiveness in information security issues. It is also very useful for tight control of possible situations such as a large scale attack on network systems, automated control systems. The main contributions of this paper have been clearly demonstrated through two strategies that need to be addressed: LQG, neural networks for the data of LQG regulator.The methods described above have not been previously published for this model. Therefore, this article was born to outline the above objectives and the plans have been satisfactorily implemented. These studies are important because they serve as a necessary database in the selection of control strategies according to the requirements. Simulation results are done by Matlab. The purpose of the study of this paper: the author has searched for a stability of the sys…
subject: Research article
  topic: section
subject: flexible joint
  topic: keywords
subject: LQG
  topic: keywords
subject: joint robot
  topic: keywords
subject: arm robot
  topic: keywords
subject: neural networks
  topic: keywords
creator: Nguyen Cong Danh
rights: Copyright (c) 2022 Nguyen Cong Danh https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2022-11-15
publication date: 2022-11-15
starting page: e7
ending page: e7
doi: 10.4108/eetcs.v7i22.2856

The application of a optimal controller for the flexible joint robot
type: item
description: This paper describes the operation of a single Degree of Freedom (DOF) flexible robotic arm by the optimal controller. The derived model is based on Euler- Lagrange approach, while the first and second-order (super twisting) Sliding Mode Control (SMC) is proposed as a nonlinear control strategy. Exploration of a flexible robotic arm with using state-of-the-art controllers is essential for practical applications. This is even more refreshing when these arms have joints that work independently of each other to create a smooth connection between the joints, but it still ensures the natural properties like a real human arm. This system has many similarities with the flexible link system of the MIMO model in its operational state analysis. Control laws must be followed by logical rules in a coherent whole. The next step is to design a controller to fit the structure of the system. The author also compared the use of the above controller with a system without using any controller to determine the effectiveness of using the above controller.
subject: Research article
  topic: section
subject: flexible joint
  topic: keywords
subject: optimal controller
  topic: keywords
subject: joint robot
  topic: keywords
creator: Nguyen Cong Danh
rights: Copyright (c) 2022 Nguyen Cong Danh https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2022-09-09
publication date: 2022-09-09
starting page: e6
ending page: e6
doi: 10.4108/eetcs.v7i22.2681

Investigating the IoT Security and Privacy Challenges: Summary and Recommendations
type: item
description: With the development of innovative technology transformation like cloud and Internet of Things (IoT), more technology companies are pursuing research in employing such innovations. Smart homes and cities are just two examples of the many systems and technologies that the IoT can endorse. IoT - based smart objects communicate with other parts, such as proxies, portable devices, as well as data collectors. Although these components help to tackle a number of societal issues and offer users new, cutting-edge services, their confined processing power makes them susceptible to well-known privacy and security attacks. This in turn highlights the demand for a strong technical as well as legislative foundation and asserts the significance of validity and reliability in IoT. This paper provides an insight of the IoT, security, as well as privacy challenges, and also discusses the recommendations for IoT solutions. Further we also highlighting some unresolved problems that require further study.
subject: Research article
  topic: section
subject: Internet of Things
  topic: keywords
subject: IoT Systems
  topic: keywords
subject: security
  topic: keywords
subject: privacy
  topic: keywords
subject: cyber-attack
  topic: keywords
creator: Premlata Chauhan
creator: Shafeeq Ahmad
creator: Pervez Rauf Khan
creator: Naseem Ahmad Khan
rights: Copyright (c) 2022 Premlata Chauhan, Shafeeq Ahmad, Pervez Rauf Khan, Naseem Ahmad Khan https://creativecommons.org/licenses/by-nc-sa/4.0
date: 2022-08-31
publication date: 2022-08-31
starting page: e5
ending page: e5
doi: 10.4108/eetcs.v7i22.2652

Social Aspect of Vehicular Communications
type: item
description: The interconnection of devices is expected to grow and to incorporate systems that used to be isolated. As the vehicle evolves from a simple transport machine to an intelligent entity that collects information from the environment and uses it in order to take decisions in real time, it is becoming an active member of a smart city. The integration of vehicular communications with smartphones helps vehicles connect with each other and take decisions that improve driving in terms of safety, reduced fuel consumption and comfort. The social behavior of drivers is an asset that can be used in order to predict their mobility in a city and to produce novel algorithms that can cope with these aspects in an ecient way. In this article, we present a social perspective of ad hoc vehicular networks and propose novel ranking, clustering and routing methods. We also discuss security issues that arise from the interconnection of vehicles.
subject: Research article
  topic: section
subject: Social networks
  topic: keywords
subject: vehicular ad hoc networks
  topic: keywords
subject: LTE
  topic: keywords
subject: intelligent transportation systems
  topic: keywords
subject: Internet of Vehicles(IoV)
  topic: keywords
creator: Leandros A. Maglaras
creator: Efstathios Stathakidis
creator: Jianmin Jiang
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-02-23
publication date: 2015-02-23
starting page: e6
ending page: e6
doi: 10.4108/cs.1.1.e6

Service Co-evolution in the Internet of Things
type: item
description: The envisioned Internet of Things (IoT) foresees a future Internet incorporating smart physical objects that offer hosted functionality as IoT services. This service-based integration of IoT will be smarter, easier to communicate with and more valuable for enriching our environment. However, the interfaces and services can be modified due to updates and amendments. Such modifications require adaptations in all participating parties. Therefore, the aim of this research is to present a vision of service co-evolution in IoT. Moreover, we propose a novel agent architecture which supports the evolution by controlling service versions, updating local service instances and enabling the collaboration of agents. In this way, the service co-evolution can make systems more adaptive, efficient and reduce costs to manage maintenance.
subject: Research article
  topic: section
subject: Service co-evolution
  topic: keywords
subject: Coordinating agents
  topic: keywords
subject: IoT services
  topic: keywords
subject: Web services
  topic: keywords
subject: Adaptive services
  topic: keywords
creator: Huu Tam Tran
creator: Harun Baraki
creator: Kurt Geihs
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-02-23
publication date: 2015-02-23
starting page: e5
ending page: e5
doi: 10.4108/cs.1.1.e5

Achieving Assistive Technology Systems Based on IoT Devices in Cloud Computing
type: item
description: This paper discusses how programmable embedded IoT systems may be a challenge for the development of Assistive Technologies (ATs), with particular reference to the Human-Computer Interaction (HCI). Nowadays, users with disabilities access computer-based devices by using tailored AT solutions equipped with specialized software components closely tied to the physical device. We propose to decouple the AT tools from the computers and/or ICT (Information and Communication Technology) systems. The main advantage of such a solution is the high flexibility for users with disabilities in using their personal AT equipments to access/control different types of computers and ICT systems. To avoid manual driver installation and software configuration on each available computer, the IoT component makes use of Cloud technology and services to customize the AT environment according to the user’s needs and preferences.
subject: Research article
  topic: section
subject: Assistive Technology
  topic: keywords
subject: Embedded Systems
  topic: keywords
subject: Cloud Computing
  topic: keywords
subject: Internet of Things
  topic: keywords
subject: Human Computer Interaction
  topic: keywords
subject: Users with disabilities.
  topic: keywords
creator: Davide Mulfari
creator: Antonio Celesti
creator: Maria Fazio
creator: Massimo Villari
creator: Antonio Puliafito
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-02-23
publication date: 2015-02-23
starting page: e4
ending page: e4
doi: 10.4108/cs.1.1.e4

Multipath Bandwidth Scavenging in the Internet of Things
type: item
description: To meet the infrastructure coverage and capacity needed by future IoT applications, service providers may engage in mutually-beneficial modes of collaboration such as cooperative packet forwarding and gatewaying through fixed backhauls and Internet uplinks. In an effort to enable these modes of resource pooling while minimizing negative impact on collaborating providers, we developed a transport-layer approach that would enable IoT nodes to opportunistically scavenge for idle bandwidth across multiple paths. Our approach combinesmultipath techniques with less-than-best effort (LBE) congestion control methods. Initial tests using the TCP-LP and LEDBAT LBE algorithms on scavenging secondary flows show that this desired functionality can be achieved. To ensure however that IoT nodes are guaranteed at least one flow that fairly competes for fair share of network capacity, one flow called the primary flow uses standard TCP congestion control.
subject: Research article
  topic: section
subject: Internet of Things
  topic: keywords
subject: bandwidth scavenging
  topic: keywords
subject: less-than-best-effort
  topic: keywords
subject: congestion control
  topic: keywords
subject: multipath flows
  topic: keywords
creator: Isabel Montes
creator: Romel Parmis
creator: Roel Ocampo
creator: Cedric Festin
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-02-23
publication date: 2015-02-23
starting page: e3
ending page: e3
doi: 10.4108/cs.1.1.e3

BETaaS platform – a Things as a Service Environment for future M2M marketplaces
type: item
description: Building the Environment for Things as a Service (BETaaS) is a novel platform for the deployment and execution of contentcentric Machine-to-Machine (M2M) applications, which relies on a local cloud of gateways. BETaaS platform provides a uniform interface and services to map content with things in a context-aware manner. Deployment of services for the execution of applications is dynamic and takes into account the computational resources of the low-end physical devices used. To this aim, BETaaS platform is based on a suitable defined Internet of Things (IoT) model, allowing the integration of the BETaaS components within the future Internet environment. In this paper we present the BETaaS concept, the high level platform architecture and application scenarios that extend the state-of-the-art in M2M communications and open the horizon for future M2M marketplaces.
subject: Research article
  topic: section
subject: IoT
  topic: keywords
subject: M2M
  topic: keywords
subject: Local cloud
  topic: keywords
subject: TaaS
  topic: keywords
creator: Bayu Anggorojati
creator: Sofoklis Kyriazakos
creator: Neeli Prasad
creator: Carlo Vallati
creator: Enzo Mingozzi
creator: Giacomo Tanganelli
creator: Novella Buonaccorsi
creator: Belén Martínez
creator: Francisco Nieto De-Santos
creator: Nikolaos Zonidis
creator: George Labropoulous
creator: Alessandro Mamelli
creator: Davide Sommacampagna
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-02-23
publication date: 2015-02-23
starting page: e2
ending page: e2
doi: 10.4108/cs.1.1.e2

Welcome message for the Special issue on: IoT-as-a- Service from the Editors-in-Chief
type: item
description: -
subject: Research article
  topic: section
creator: Benny Mandler
creator: David Carrera
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-02-23
publication date: 2015-02-23
starting page: e1
ending page: e1
doi: 10.4108/cs.1.1.e1

Large Scale Cross-media Data Retrieval based on Hadoop
type: item
description: With the rapid development of the Internet and speedy increase of the data size, there are more and more data intensive applications which often involve hundreds of megabytes of data. It is important and necessary to obtain the retrieval results from cross-media data quickly and accurately. Large scale cross-media data retrieval based on Hadoop is proposed to speed up the retrieval in this paper. We divide cross-media feature extraction and cross-media retrieval into paralleled pipeline, and implement with the combination of the HDFS, HBase and MapReduce framework. To verify the performance of the proposed method, comparisons with stand-alone mode on different sizes of the image dataset are conducted, and the experimental results demonstrate the good performances of proposed method, which sharply decreases time-consuming, and meanwhile keeps the same query precision.
subject: Research article
  topic: section
subject: cross-media
  topic: keywords
subject: image retrieval
  topic: keywords
subject: hadoop
  topic: keywords
subject: mapreudce
  topic: keywords
creator: Wenchen Cheng
creator: Jiang Qian
creator: Zhicheng Zhao
creator: Fei Su
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-09-08
publication date: 2015-09-08
starting page: e5
ending page: e5
doi: 10.4108/eai.19-8-2015.2260108

A New QoE-Driven Video Cache Allocation Scheme for Mobile Cloud Server
type: item
description: With the advent of mobile cloud computing, video cache technologies at local cellular networks have attracted extensive attention. Nevertheless, existing video cache allocation schemes mostly made decisions only according to the video coding requirements, without considering users’ individual perception for the video service. In this paper, we propose a new video cache allocation scheme with the consideration of quality of experience (QoE) of users under limited storage space. We make use of the linear regression algorithm to map the relationship between the requested video rate, the replied video rate, the channel condition and the QoE value, which then helps to obtain the different video rates to be stored in the server. Meanwhile, we define the parameter to represent the popularity of a video clip. We optimize the cache space allocation for each video clip based on these parameters in the mobile cloud server of local cellular networks. The experiments demonstrate that the proposed scheme has a better performance in terms of the overall QoE of users with the constraint of the total cache size.
subject: Research article
  topic: section
subject: quality of experience
  topic: keywords
subject: mobile cloud computing
  topic: keywords
subject: video cache allocation
  topic: keywords
creator: Xiaojiang Zhou
creator: Mengyao Sun
creator: Yumei Wang
creator: Xiaofei Wu
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-09-08
publication date: 2015-09-08
starting page: e4
ending page: e4
doi: 10.4108/eai.19-8-2015.2260126

A Dynamic Self-adaptive Resource-Load Evaluation Method in Cloud Computing
type: item
description: Cloud resource and its load have dynamic characteristics. To address this challenge, a dynamic self-adaptive evaluation method (termed SDWM) is proposed in this paper. SDWM uses some dynamic evaluation indicators to evaluate resource state more accurately. And it divides the resource load into three states -- $Overload$, $Normal$ and $Idle$ by the self-adaptive threshold. Then it migrates overload resources to balance load, and releases idle resources whose idle times exceed a threshold to save energy, which can effectively improve system utilization. Experimental results demonstrate SDWM has better adaptability than other similar methods when resources dynamically join or exit. This shows the positive effect of the dynamic self-adaptive threshold.
subject: Research article
  topic: section
subject: cloud computing
  topic: keywords
subject: energy
  topic: keywords
subject: load evaluation
  topic: keywords
creator: Liyun Zuo
creator: Lei Shu
creator: Shoubin Dong
creator: Zhangbing Zhou
creator: Lei Wang
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-09-08
publication date: 2015-09-08
starting page: e3
ending page: e3
doi: 10.4108/eai.19-8-2015.2260146

Cloud-based IoT Analytics for the Smart Grid: Experiences from a 3-year Pilot
type: item
description: The transformation of electrical grids into smart-grid is seen as one of the major technological challenges of our times and at the same time as one of the key domains for Internet of Things (IoT). Smart-home technologies and corresponding analytics are an integral part of many use cases in this field. In this paper we present a cloud-based test bed for capturing and analyzing smart-home data and report on experiences from a 3 year pilot with a cloud-based system. We discuss on real-world challenges that we encountered throughout the pilot - e.g. related to big data volumes and data quality - and describe corresponding technical solutions.
subject: Research article
  topic: section
subject: smart-home
  topic: keywords
subject: iot
  topic: keywords
subject: analytics
  topic: keywords
creator: Tomi Hasan
creator: Panayotis Kikiras
creator: Alessandro Leonardi
creator: Holger Ziekow
creator: Jörg Daubert
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-08-03
publication date: 2015-08-03
starting page: e2
ending page: e2
doi: 10.4108/icst.tridentcom.2015.259694

Accessible Wayfinding Testbed: Infrastructure and Components
type: item
description: Despite considerable recent interest in research related to wayfinding and navigation of pedestrians, the needs and preferences of people with disabilities (PWDs) are not yet fully addressed. Some of still unaddressed issues are related to understanding the different mobility challenges of PWDs, while others are related to the accessibility of routes and navigation systems/services. Emergence of advanced systems and services that can assist PWDs in wayfinding and navigation calls for the development of an accessible wayfinding platform facilitating the evaluation of accessibility of indoor and outdoor routes. In this paper, we propose and present an accessible wayfinding testbed which has three components: database, accessibility index, and visualization. The database component includes networks of sidewalks outdoors and building elements indoors with accessibility elements for PWDs. The accessibility index determines the level of accessibility of each element in a network as is perceived by PWDs. The visualization component visualizes the routes, accessible and others, in a simple form allowing PWDs, urban planners, and software developers, among others, to evaluate the accessibility of the travelling environment. The paper discusses the details of the testbed and a prototype accessible wayfinding testbed.
subject: Research article
  topic: section
subject: accessible way finding
  topic: keywords
subject: accessibility database
  topic: keywords
subject: accessibility visualization
  topic: keywords
subject: people with disabilities
  topic: keywords
creator: Hassan Karimi
creator: Mahdi Hashemi
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-08-03
publication date: 2015-08-03
starting page: e1
ending page: e1
doi: 10.4108/icst.tridentcom.2015.259709

Solving Queueing Network Models in Cloud Provisioning Contexts
type: item
description: In recent years the research community and most of cloud users are trying to propose flexible and general mechanisms to determine how much virtual resources need to be allocated to each tier of the applications executed on cloud infrastructures. The objective of this virtual provisioning is twofold: minimizing resources consumption and meeting the service level agreement (SLA). Most of the current cloud provisioning and scaling solutions are based on analytical models of applications, trying to automate the provisioning decisions making "what-if" response time predictions. Queueing network (QN) models have demonstrated to be a good choice in this kind of contexts. In this work we compare, performing an exhaustive set of experiments on a real cloud architecture with a new provisioning mechanism, exact solutions with approximate solutions estimated from bounding techniques in order to obtain conclusions about the most efficient way of solving these models when making cloud provisioning decisions.
subject: Research article
  topic: section
subject: balanced job bounds
  topic: keywords
subject: cloud provisioning
  topic: keywords
subject: mean value analysis
  topic: keywords
subject: queueing networks
  topic: keywords
creator: Marta Beltran
creator: Francisco Carriedo
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-02-19
publication date: 2015-02-19
starting page: e4
ending page: e4
doi: 10.4108/icst.valuetools.2014.258191

Modeling user and topic interactions in social networks using Hawkes processes
type: item
description: We present in this paper a framework to model information diffusion in social networks based on linear multivariate Hawkes processes. Our model exploits the effective broadcasting times of information by users, which guarantees a more realistic view of the information diffusion process. The proposed model takes into consideration not only interactions between users but also interactions between topics, which provides a deeper analysis of influences in social networks. We provide an estimation algorithm based on nonnegative matrix factorization techniques, which together with a dimensionality reduction argument is able to discover, in addition, the latent community structure of the social network. We also provide several numerical results of our method.
subject: Research article
  topic: section
subject: social networks
  topic: keywords
subject: hawkes processes
  topic: keywords
subject: nonnegative matrix factorization
  topic: keywords
creator: Julio Cesar Louzada Pinto
creator: Tijani Chahed
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-02-19
publication date: 2015-02-19
starting page: e5
ending page: e5
doi: 10.4108/icst.valuetools.2014.258186

PerfCenterLite: Extrapolating Load Test Results for Performance Prediction of Multi-Tier Applications
type: item
description: Performance modeling is an important step in the lifecycle of a typical Web-based multi-tier application. However, while most practitioners are comfortable carrying out load tests on a Web application on a testbed, they ﬁnd sophisticated performance modeling tools diﬃcult to use because many inputs required by them are diﬃcult to obtain. Chief among these is the service times of various types of requests at various resources in the multi-tier system (e.g. CPU execution time required at the Web server by a “Login” request). In this paper, we present PerfCenterLite, a tool focused on ease of use for practitioners of performance analysis. The tool (a) provides a spread-sheet template for describing the application architecture and (b) accepts standard performance metrics obtained from load testing of the application. PerfCenterLite then uses mathematical estimation techniques and transforms this input into a full-ﬂedged performance model as required by a sophisticated performance modeling tool. Validation experiments show that performance metrics predicted using PerfCenterLite match well with measured values.
subject: Research article
  topic: section
subject: performance modeling
  topic: keywords
subject: load test results
  topic: keywords
creator: Varsha Apte
creator: Nadeesh T. V.
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-02-19
publication date: 2015-02-19
starting page: e3
ending page: e3
doi: 10.4108/icst.valuetools.2014.258208

A Model Transformation Tool: PMIF+ to QNAP
type: item
description: An extension to the Performance Model Interchange Format (PMIF+) to move models among tools has been recently introduced. The original PMIF was limited to models solvable with efficient, exact solution methods such as mean value analysis and product form solutions. The extensions allow models with features that require simulation or analytical approximation solutions, such as passive resources, workloads that fork into multiple concurrent workloads, etc. This paper presents a tool for the automated transformation from PMIF+ to Qnap, and explains some of the challenging transformations required by the new PMIF+ features.
subject: Research article
  topic: section
subject: interchange format
  topic: keywords
subject: performance models
  topic: keywords
subject: model driven performance engineering
  topic: keywords
subject: spe
  topic: keywords
subject: tool interoperability
  topic: keywords
creator: Catalina Lladó
creator: Pere Bonet
creator: Connie Smith
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-02-19
publication date: 2015-02-19
starting page: e2
ending page: e2
doi: 10.4108/icst.valuetools.2014.258219

Hybrid Scheduling for Quality of Service Guarantee of Multimedia Data Flows in Software Defined Networks
type: item
description: Supporting diverse Quality of Service (QoS) performance for heterogeneous data flows generated by multimedia applications has been a challenging issue that is not fully addressed in the Internet. Software Defined Network, which decouples data forwarding and network control, offers a promising approach to QoS guarantee of multimedia flows in the future Internet. However, the currently available QoS mechanisms proposed for SDN have not fully considered the diversity in performance requirements of multimedia data flows. In order to tackle this challenge, we propose a hybrid scheduling scheme in this paper to combine priority queueing with Packet General Processor Sharing (PGPS) algorithm to provide QoS guarantee for multimedia applications in SDN. We apply network calculus to develop modeling and analysis techniques to evaluate the QoS performance of the proposed scheduling scheme. Both analytical and numerical results obtained in this paper show that the proposed scheme can provide QoS guarantee for meeting diverse requirements of multimedia applications.
subject: Research article
  topic: section
subject: packet scheduling
  topic: keywords
subject: qos
  topic: keywords
subject: software defined network
  topic: keywords
subject: network calculus
  topic: keywords
subject: performance analysis
  topic: keywords
creator: Jun Huang
creator: Liqian Xu
creator: Mengxi Zeng
creator: Huifang Yan
creator: Qian Duan
creator: Cong-cong Xing
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-08-03
publication date: 2015-08-03
starting page: e1
ending page: e1
doi: 10.4108/icst.mobimedia.2015.259079

PETFEN: A Performance Evaluation Tool for Flow-Level Network Modeling of Ethernet Networks
type: item
description: We present in this paper PETFEN, a Performance Evaluation Tool for Flow-level network modeling of Ethernet Networks. Flow-level network models are a useful tool to dimension and predict various performances of networks with TCP and UDP flows, providing information such as mean flow bandwidths, link utilizations or queue sizes. While the literature on flow-level network models is extensive, there is still a lack of tools for numerical evaluations on user provided topologies. In this paper, we describe the three components of PETFEN: (i) an effective domain specific language used for algorithmically describing topologies, (ii) a mathematical toolbox for the numerical evaluation of flow-level network models on the provided topologies, (iii) modules for the evaluation of the topologies with external tools. Via various numerical evaluations, we compare the results of PETFEN with results of SimGrid, another tool based on flow-level network models, as well as results of the discrete event simulator OMNeT++.
subject: Research article
  topic: section
subject: flow-level network modeling
  topic: keywords
subject: network traffic modeling
  topic: keywords
subject: performance evaluation
  topic: keywords
creator: Fabien Geyer
creator: Stefan Schneele
creator: Georg Carle
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-02-19
publication date: 2015-02-19
starting page: e5
ending page: e5
doi: 10.4108/icst.valuetools.2014.258166

Specifying and Monitoring Properties of Stochastic Spatio-Temporal Systems in Signal Temporal Logic
type: item
description: We present an extension of the linear time, time-bounded, Signal Temporal Logic to describe spatio-temporal properties. We consider a discrete location/ patch-based representation of space, with a population of interacting agents evolving in each location and with agents migrating from one patch to another one. We provide both a boolean and a quantitative semantics to this logic. We then present monitoring algorithms to check the validity of a formula, or to compute its satisfaction (robustness) score, over a spatio-temporal trace, exploiting these routines to do statistical model checking of stochastic models. We illustrate the logic at work on an epidemic example, looking at the diffusion of a cholera infection among communities living along a river.
subject: Research article
  topic: section
subject: monitoring
  topic: keywords
subject: spatial logic
  topic: keywords
subject: signal temporal logic
  topic: keywords
subject: spatio-temporal modelling
  topic: keywords
creator: Laura Nenzi
creator: Luca Bortolussi
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-02-19
publication date: 2015-02-19
starting page: e4
ending page: e4
doi: 10.4108/icst.valuetools.2014.258183

Design of novel screening environments for Mild Cognitive Impairment: giving priority to elicited speech and language abilities
type: item
description: Recent cognitive decline screening batteries have highlighted the importance of language deficits related to semantic knowledge breakdown to reveal the incipient dementia. This paper proposes the introduction of novel enriched linguistic tests and examines the hypothesis that language can be a sensitive cognitive measure for Mild Cognitive Impairment (MCI). A group of MCI and healthy elderly were administered a set of proposed linguistic tests. Performance measures were made on both groups to indicate that concrete verbal production deficits such as impaired verb fluency can distinguish the MCI from normal aging. In addition, it was found that even in cases where the MCI subjects preserved scores, language tests took significantly more time compared to healthy controls. These findings indicate that language could be a sensitive cognitive marker in preclinical stages of MCI.
subject: Research article
  topic: section
subject: mild cognitive impairment
  topic: keywords
subject: screening batteries
  topic: keywords
subject: linguistic test
  topic: keywords
subject: verbal fluency
  topic: keywords
creator: Sofia Segkouli
creator: Ioannis Paliokas
creator: Dimitrios Tzovaras
creator: Dimitrios Giakoumis
creator: Charalampos Karagiannidis
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-08-03
publication date: 2015-08-03
starting page: e3
ending page: e3
doi: 10.4108/icst.pervasivehealth.2015.258945

On the Performance of General Cache Networks
type: item
description: The performance evaluation of cache networks has gain a huge attention due to content-oriented delivery technologies. If general network topologies are more realistic than hierarchical networks widely studied in the literature, their analysis is significantly challenging. Existing models mainly focus on trees where content custodians are located at the root and the one-way child-to-parent request forwarding schema is common. In this paper, we consider complex and irregular networks where requests may flow possibly in opposite directions from/to several sources/destinations. Moreover, we assume that caches may run one of Time-To-Live (TTL)-based policies recently introduced for content-centric networks and modern Domain Name System [5]. We then derive an analytical framework and a polynomial-time algorithm that approximate accurately performance metrics of arbitrary graph-based and heterogeneous TTL-based cache networks. Simulations show that our simplified methodology may accurately predict metrics of interest on networks of caches running popular replacement algorithms (e.g. LRU, FIFO, or Random) without restricting its scope of application to this interesting use case. Unlike existing approaches, ours scales as network and content catalog sizes increase.
subject: Research article
  topic: section
subject: performance analysis
  topic: keywords
subject: approximation algorithms
  topic: keywords
subject: cache networks
  topic: keywords
subject: lru
  topic: keywords
subject: fifo
  topic: keywords
subject: random
  topic: keywords
subject: time-to-live (ttl)
  topic: keywords
creator: Nicaise CHOUNGMO FOFACK
creator: Mostafa DEHGHAN
creator: Don TOWSLEY
creator: Misha BADOV
creator: Dennis L. GOECKEL
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-02-19
publication date: 2015-02-19
starting page: e2
ending page: e2
doi: 10.4108/icst.valuetools.2014.258168

Towards an Interactive Experiment Framework: DynamiQ
type: item
description: Interactive network experiments are useful for finding solutions to network problems, for teaching and for training purposes. In this demonstration we shall present an interactive experiment framework that allows users to directly control the experiment scenario by using a touch panel interface. This framework uses the network emulation module named dynamiQ for the dynamic emulation of networks. The demonstration uses a scenario with up to 55 emulated nodes, out of which 30 nodes form an emulated vehicular network and 5 are static buildings. The other nodes represent wireless towers and unmanned aerial vehicles that can be freely placed in the virtual experiment area. Participants are tasked with creating a multi-hop mesh network for sending video traffic between two predefined remote lo- cations. A similar demonstration has already been shown at Interop Tokyo 2014, where it received a special jury award.
subject: Research article
  topic: section
subject: interactive experiments
  topic: keywords
subject: dynamic experiment scenarios
  topic: keywords
subject: network emulation
  topic: keywords
creator: Razvan Beuran
creator: Tomoya Inoue
creator: Shingo Yasuda
creator: Yuuki Takano
creator: Toshiyuki Miyachi
creator: Yoichi Shinoda
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-08-03
publication date: 2015-08-03
starting page: e1
ending page: e1
doi: 10.4108/icst.tridentcom.2015.259857

Defining an Elasticity Metric for Cloud Computing Environments
type: item
description: Elasticity is a key property of cloud computing environments and one of the features which distinguishes this paradigm from other ones. An elasticity metric could be used to define and to monitor Service Level Agreements (SLAs), to compare and to benchmark different cloud providers or to improve provisioning and management decisions in real time if it could be measured with some simple procedure, to mention only some examples. Unfortunately, there are not still standard elasticity metrics capable of easily capturing its main components or aspects, these are, scalability, accuracy, time and cost. This work defines a new elasticity metric for cloud computing environments which not only captures these four essential components but also provides a simple procedure to analyse elasticity in cloud contexts. The obtained experimental results on a real cloud environment evidence that this new elasticity metric is able to quantify the degree of elasticity obtained in different cloud scenarios and to establish interesting comparisons and analysis.
subject: Research article
  topic: section
subject: cloud computing
  topic: keywords
subject: elasticity
  topic: keywords
subject: performance evaluation
  topic: keywords
creator: Marta Beltran
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2016-01-04
publication date: 2016-01-04
starting page: e5
ending page: e5
doi: 10.4108/eai.14-12-2015.2262685

Cloud based Software Defined Wireless Body Area Networks Architecture for Virtual Hospital
type: item
description: Recent developments in wireless communication inflate a new area of research named as Wireless Body Area Networks. WBANs enhance the concept of virtual hospital with the help of cloud computing (CC) technology. Still numerous technical challenges could be found to integrate Cloud Computing (CC) and WBANs. From networking perspective, Software Defined Networking (SDN) becomes popular for its centralized nature to manage complex network infrastructure. In this paper, the concept of cloud enabled virtual hospital architecture based on software defined networking has been proposed and studied for wireless body area networks. This paper highlights a new, simplified architecture for virtual hospital concepts harnessing the benefits of software defined networking to mitigate the complexity of cloud architecture and its integration with WBAN.
subject: Research article
  topic: section
subject: wban
  topic: keywords
subject: cloud computing
  topic: keywords
subject: sdn
  topic: keywords
subject: virtual hospital
  topic: keywords
subject: e-health monitoring
  topic: keywords
creator: MD AL SHAYOKH
creator: Jin Woo Kim
creator: Soo Young Shin
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-12-14
publication date: 2015-12-14
starting page: e4
ending page: e4
doi: 10.4108/eai.28-9-2015.2261508

Using Cloud-assisted Body Area Networks to Track People Physical Activity in Mobility
type: item
description: This paper describes a novel BSN-based integrated system for detecting, monitoring, and securely recording human physical activities using wearable sensors, a personal mobile device, and a Cloud-computing infrastructure supported by the BodyCloud platform. An integration with a smart-wheelchair system is also presented. BSNs are a key enabling technology for the revolution of personal-health services and their integration with Cloud infrastructure can effectively supports the diffusion of such services in our daily life. Many of these personal-health systems - regardless of their final aim - are based, use or are supported by contextual information on user's physical activity (body posture, movement or action) being performed. This work, hence, aims at providing a basic physical activity service that is capable of supporting personal, mobile-Health applications with real-time activity recognition and labeling both on the personal mobile device and on the Cloud.
subject: Research article
  topic: section
subject: activity recognition
  topic: keywords
subject: cloud
  topic: keywords
subject: bsn
  topic: keywords
subject: wearable sensors
  topic: keywords
creator: Giancarlo Fortino
creator: Raffaele Gravina
creator: Wenfeng Li
creator: Concgong Ma Ma
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-12-14
publication date: 2015-12-14
starting page: e3
ending page: e3
doi: 10.4108/eai.28-9-2015.2261424

Notos: Efficient Emulation of Wireless Sensor Networks with Binary-to-Source Translation
type: item
description: Developing for wireless sensor networks is a challenging task due to the severe resource constraints of the devices, the uncertainties of the environment, and the distributed nature of the system. Therefore, simulation is an essential tool for developing systems and for evaluating and comparing protocols at scale in a reproducible manner. Cycle-accurate emulation of sensor networks allows the execution of platform target code and provides deep insight into the behavior of the overall system including the important aspect of energy consumption. However, the required fidelity incurs a significant overhead and limits the size of the emulated networks considerably. We investigate the use of binary-to-source translation, where the machine code of an executable for the target platform is transformed to source code for the host platform and compiled as part of the emulator. Additionally, as part of this transformation we perform static analysis and optimize the generated code. We have implemented our approach based on the well-established emulator Avrora and show in our evaluation that this approach can lead to significantly higher simulation speeds.
subject: Research article
  topic: section
subject: emulation
  topic: keywords
subject: simulation
  topic: keywords
subject: wireless sensor networks
  topic: keywords
creator: Robert Sauter
creator: Sascha Jungen
creator: Richard Figura
creator: Pedro Marrón
rights: Copyright (c) 2022 EAI Endorsed Transactions on Cloud Systems
date: 2015-08-27
publication date: 2015-08-27
starting page: e2
ending page: e2
doi: 10.4108/eai.24-8-2015.2261070