Balancer Genetic Algorithm—A Novel Task Scheduling Optimization Approach in Cloud Computing

Balancer Genetic Algorithm—A Novel Task Scheduling Optimization Approach in Cloud Computing

Task scheduling is one of the core issues in cloud computing. Tasks are heterogeneous, and they have intensive computational requirements. Tasks need to be scheduled on Virtual Machines (VMs), which are resources in a cloud environment. Due to the immensity of search space for possible mappings of t...

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Bibliographic Details
Main Authors: Rohail Gulbaz, Abdul Basit Siddiqui, Nadeem Anjum, Abdullah Alhumaidi Alotaibi, Turke Althobaiti, Naeem Ramzan
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
task scheduling
cloud computing
Virtual Machines
load balancing
optimization
Online Access:https://www.mdpi.com/2076-3417/11/14/6244

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