The Response Rank based Fault-tolerant Task Scheduling for Cloud System

DOI

10.2991/978-94-6463-366-5_5How to use a DOI?

Keywords

Fault; Scheduling; Response; Reliability; Rank

Abstract

A cloud computing platform has higher failure rates because of its highly dynamic nature and running of concurrent applications. However, the outcomes of running concurrent applications won’t be accurate without VM synchronization. The issue of coordination between many virtual machines (VMs) is their synchronization in working is rarely considered by existing solutions. Moreover, fault tolerance constitutes one of the most crucial components for cloud computing architecture to ensure high reliability. In this research, Reserved Fault Tolerance and Ranked Task Scheduling (RFRTS) is proposed. Initially, the proposed ranked based scheduling approach is used for task allocation, and later reservation-based reactive fault tolerance method is suggested for a cloud system. To achieve the highest level of cloud computing infrastructure reliability, the suggested technique considers CPU faults and the VM reservation will ensure the assignment of alternative VM to the affected task. The proposed fault-tolerant approach has been compared with three existing reliable fault-tolerant approaches namely multi-objective scheduling algorithm with Fuzzy Resource utilization (FR-MOS), Cost-effective Workflow Scheduling Algorithm (CWS), and Fault-tolerant Cost-effective Workflow Scheduling Algorithm (FCWS) based on reliability. The outcomes unequivocally show that our suggested RFRTS algorithm surpasses the current FR-MOS, CWS, and FCWS considering the reliability in all the states.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sheikh Umar Mushtaq
AU  - Sophiya Sheikh
AU  - Ajay Nain
PY  - 2024
DA  - 2024/02/02
TI  - The Response Rank based Fault-tolerant Task Scheduling for Cloud System
BT  - Proceedings of the 2023 1st International Conference on Advanced Informatics and Intelligent Information Systems (ICAI3S 2023)
PB  - Atlantis Press
SP  - 37
EP  - 48
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-366-5_5
DO  - 10.2991/978-94-6463-366-5_5
ID  - Mushtaq2024
ER  -