Optimizing execution time and cost while scheduling scientific workflow in edge data center with fault tolerance awareness-Reference-Cited by-同舟云学术

Optimizing execution time and cost while scheduling scientific workflow in edge data center with fault tolerance awareness

Published:2024-01-01 Issue:1 Volume:13 Page:
ISSN:2192-8029
Container-title:Nonlinear Engineering
language:en
Short-container-title:

Author:

Kadum Muhanad Mohammed¹²,Deng Xiaoheng¹

Affiliation:

1. School of Computer Science and Engineering, Central South University , 410083 , Changsha , China

2. Department of Information Technology, College of Computer Science and Mathematics , Nasiriyah , Dhi Qar , Iraq

Abstract

Abstract Scheduling scientific workflows is essential for edge data centers operations. Fault tolerance is a crucial focus in workflow scheduling (WS) research. This study proposed fault-tolerant WS in edge data centers using Task Prioritization Adaptive Particle Swarm Optimization (TPAPSO). The aim is to minimize the Makespan, execution costs, and overcoming failures at all workflow processing stages, including when virtual machines are insufficient or tasks fail. The approach proposes three components: initial heuristic list, scheduling tasks with TPAPSO, and implementing performance monitoring with fault tolerance (PMWFT). TPAPSO-PMWFT is simulated using CloudSim 4.0. The experiments indicate that the suggested approach shows superior results compared to existing methods.

Publisher

Walter de Gruyter GmbH

Link

https://www.degruyter.com/document/doi/10.1515/nleng-2024-0015/pdf

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