Hybrid Swarm Optimization based on Chicken and Bat for Task Scheduling in Cloud Computing

Volume 20 No 4 (2022)

Wijdan Abd Almahdi, Hussein Attia , Yossra Ali

DOI: 10.14704/nq.2022.20.4.NQ22117

Abstract

In the last few decades, the world has been evolved in the field of computing by implementing a fast, and efficient methods, and the cloud computing considered the most famous technology, that provide services to a specific application within virtualization. The significant basic mater in the environment of cloud computing referred as the task scheduling, which gain an important effect on all facilities of the cloud computing

Keywords

Cloud Computing, Task Scheduling, Bat Algorithm, Chicken Algorithm, Hybrid Optimization Algorithm.

Copyright © Neuroquantology

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

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.