An upgraded fruit fly optimisation algorithm for solving task scheduling and resource management problem in cloud infrastructure
Abstract In this manuscript, an upgraded Fruit Fly Optimization Algorithm (FFOA) is proposed for optimising task scheduling and resource management processes. The proposed FOA algorithm is utilized to address the issues. In the proposed algorithm, every solution is represented by fruit fly. Every fr...
Enregistré dans:
Auteur principal: | K. Loheswaran |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Wiley
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/32e2d64796e1404c8f4546bb4f57da7a |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Application Strategies of Cloud Computing Intelligent Optimization Algorithms in English Translation Major Teaching
par: Wanfang Zhang, et autres
Publié: (2021) -
Energy-Efficient Enhancement for the Prediction-Based Scheduling Algorithm for the Improvement of Network Lifetime in WSNs
par: Md. Khaja Mohiddin, et autres
Publié: (2021) -
Upgrade Path and Strategy of Logistics Industry Cluster Based on the Internet of Things
par: Jie Du
Publié: (2021) -
Hybrid Resource Modeling and Scheduling Platform Based on Multisource Cooperation for Cyber-Physical-Human System
par: Jianyong Zhu, et autres
Publié: (2021) -
The Application of Cloud Computing Intelligent Optimization Algorithm in the Investigation of College Students’ English Autonomous Learning under the Multimedia Teaching Mode
par: Hengxi Wang, et autres
Publié: (2021)