Hybrid Task Scheduling Algorithm in Cloud Computing: Review

Authors

  • Anamika Yadav Department of Computer Science and Engineering of BBD University, Lucknow, India
  • Hridesh Varshney Department of Computer Science and Engineering of BBD University, Lucknow, India
  • Sarvesh Kumar Department of Computer Science and Engineering of BBD University, Lucknow, India

Abstract

The usage of centralized technologies, matching as garage, a imperative processing unit, and a network, shadow computing is sketched as dealing with data and offerings for individualities and agencies. Due to the fact inked- up visitors concerned in dealing with IT pocket, pall computing offers flexible/ adaptable budget, introduction, and scrimping of scale. For mixedmulti-core processors, the HTSTC method, a pass mission scheduling way predicated on venture clustering, is recommended. Assignment grouping, layering, calculating job rights-of-manner, and processor choice are the three critical factors of this technique. International magazine of innovative Computing, facts and manipulate, vol. The adulthood of evolutionary algorithms are adaptive heuristic hunt algorithms called heritable algorithms (fuel). Natural choice and genetics are the foundations of inherited algorithms.

Keywords: Cloud Computing, Hybrid, Task Scheduling, Genetic Algorithm

 

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Published

2023-06-24

How to Cite

Anamika Yadav, Hridesh Varshney, & Sarvesh Kumar. (2023). Hybrid Task Scheduling Algorithm in Cloud Computing: Review. International Journal of Engineering Technology and Computer Research, 11(3). Retrieved from https://ijetcr.org/index.php/ijetcr/article/view/552

Issue

Vol. 11 No. 3 (2023): May-June

Section

Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons LicenseInternational Journal of Engineering Technology and Computer Research (IJETCR) by Articles is licensed under a Creative Commons Attribution 4.0 International License.