An improved particle swarm optimization algorithm for task scheduling in cloud computing-Reference-Cited by-同舟云学术

An improved particle swarm optimization algorithm for task scheduling in cloud computing

Published:2023-02-15 Issue:4 Volume:14 Page:4313-4327
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Pirozmand Poria,Jalalinejad Hoda,Hosseinabadi Ali Asghar Rahmani^ORCID,Mirkamali Seyedsaeid,Li Yingqiu

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-023-04541-9.pdf

Reference37 articles.

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2. Amer DA, Attiya G, Zeidan I, Nasr AA (2022) Elite learning Harris hawks optimizer for multi-objective task scheduling in cloud computing. J Supercomput 78:2793–2818

3. Arunarani A, Manjula D, Sugumaran V (2019) Task scheduling techniques in cloud computing: A literature survey. Futur Gener Comput Syst 91:407–415

4. Aydilek IB (2018) A hybrid firefly and particle swarm optimization algorithm for computationally expensive numerical problems. Appl Soft Comput 66:232–249

5. Bansal M, Malik SK (2020) A multi-faceted optimization scheduling framework based on the particle swarm optimization algorithm in cloud computing. Sustain Comput 28:100429

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