Authorization-based Approach for Customized Automated Resource Provisioning Services

Authors

  • Tananun Orawiwattanakul National Institute of Information and Communications Technology image/svg+xml
  • Hideki Otsuki National Institute of Information and Communications Technology image/svg+xml
  • Eiji Kawai National Institute of Information and Communications Technology image/svg+xml
  • Shinji Shimojo National Institute of Information and Communications Technology image/svg+xml

DOI:

https://doi.org/10.4108/icst.tridentcom.2015.259705

Keywords:

automated resource provisioning, bandwidth on demand, dynamic circuit network, quality of service

Abstract

Combining the concept of software control with existing legacy network technology promotes new networking services with low capital expenditure. Currently, many testbeds and academic operators provide bandwidth on demand (BoD) services over layers 2 and 3 wide area network. BoD decreases operational expenditures and manual errors. However, administrators must continue to manually configure virtual circuits for different stakeholders to accommodate configuration conflicts, quality of service (QoS), and service policies. This paper proposes a BoD framework called AutoNET to provide a set of BoD services with independent abstract topologies, resource allocation, and different QoS levels. User authorization is employed to control the eligibility to access a given BoD service. AutoNET uses the extended On-Demand Secure Circuits and Advance Reservation System (OSCARS) as controller software and MultiProtocol Label Switching (MPLS) as a transport technology.

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Published

03-08-2015

How to Cite

[1]
T. . Orawiwattanakul, H. . Otsuki, E. . Kawai, and S. . Shimojo, “Authorization-based Approach for Customized Automated Resource Provisioning Services”, EAI Endorsed Trans IoT, vol. 1, no. 2, p. e2, Aug. 2015.

Issue

Vol. 1 No. 2 (2015): EAI Endorsed Transactions on Internet of Things

Section

Research article

License

Copyright (c) 2015 EAI Endorsed Transactions on Internet of Things

Creative Commons License

This work is licensed under a Creative Commons Attribution 3.0 Unported License.

This is an open-access article distributed under the terms of the Creative Commons Attribution CC BY 3.0 license, which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.