Swarm-based Algorithms Using Chaos for in Task Scheduling Cloud

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Zandvakili Aboozar; Mansouri Najme; Javidi Mohammad Masoud

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Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2021 | Issue:7

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Title

Swarm-based Algorithms Using Chaos for in Task Scheduling Cloud

Author(s)

Zandvakili Aboozar | Mansouri Najme | Javidi Mohammad Masoud

Keywords

Chaos

Cloud

Optimization Algorithm

Task Scheduling

Abstract

A dispersed computing standard that assists the users is cloud computing. In this model, users pay as much as use. Cloud servers try to achieve high performance, and one of the main factors is optimal scheduling. Several metaheuristic techniques are used to solve the scheduling problem, which is an NP-hard problem. In this paper, for task scheduling in the cloud, we use Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Bat Algorithm (BA), and Grasshopper Optimization Algorithm (GOA), which are swarm-based algorithms. All of these algorithms have one or more parameters that can be updated adaptively. We update these parameters using Chaos and compare their performance. The experimental results indicate that the improved GOA can optimize task scheduling problem by effective utilization of available resources.

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APA: Copy

Zandvakili, Aboozar, Mansouri, Najme, & Javidi, Mohammad Masoud. (2021). Swarm-based Algorithms Using Chaos for in Task Scheduling Cloud. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949390/en

Vancouver: Copy

Zandvakili Aboozar, Mansouri Najme, Javidi Mohammad Masoud. Swarm-based Algorithms Using Chaos for in Task Scheduling Cloud. 2021. Available from: https://sid.ir/paper/949390/en

IEEE: Copy

Aboozar Zandvakili, Najme Mansouri, and Mohammad Masoud Javidi, “Swarm-based Algorithms Using Chaos for in Task Scheduling Cloud,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2021, [Online]. Available: https://sid.ir/paper/949390/en

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