A New Hybrid COA-OOA Based Task Scheduling and Fuzzy Logic Approach to Increase Fault Tolerance in Cloud Computing

Manoj Kumar Malik; Vineet Goel; Abhishek Swaroop

doi:10.4108/eetsis.6086

Authors

Manoj Kumar Malik Bhagwan Mahavir University
Vineet Goel Bhagwan Mahavir University
Abhishek Swaroop Bhagwan Parshuram Institute of Technology

DOI:

https://doi.org/10.4108/eetsis.6086

Keywords:

cloud computing, task scheduling, fault tolerant, COATI optimization, osprey optimization, fuzzy logic

Abstract

INTRODUCTION: Technology is made available to customers worldwide through a distributed computing architecture called cloud computing. In the cloud paradigm, there is a risk of single-point failures, in order to prevent errors and gain confidence from consumers in their cloud services, one problem facing cloud providers is efficiently scheduling tasks.

OBJECTIVES: High availability and fault tolerance must be offered to clients by these services. Fuzzy logic and hybrid COA-OOA are used in this study proposed fault-tolerant work scheduling algorithm. Jobs given by users and virtual machines are considered as input for this proposed approach.

METHODS: The given tasks are initially scheduled utilizing the FIFO order. Then, it is rescheduled utilizing the Hybrid Coati Optimization Algorithm (COA) - Osprey Optimization Algorithm (OOA) for scheduling the task based on priority.

RESULTS: This scheduled job is assigned to the VM for further execution. If the jobs are not executed successfully, then fault tolerant mechanism is carried out. Faults are recognized by employing fuzzy logic in this proposed approach. CONCLUSION: This proposed approach attains 62 sec response time, 61 sec of makespan and 98% success rate. Thus, this proposed approach is the best choice for efficient task scheduling with fault tolerant mechanism.

Author Biographies

Vineet Goel, Bhagwan Mahavir University

Professor, Bhagwan Mahavir University, Surat, Gujarat 395007, India

Abhishek Swaroop, Bhagwan Parshuram Institute of Technology

Professor, Bhagwan Parshuram Institute of Technology, New Delhi, Delhi 110089-India

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