A Comprehensive Task Scheduling Algorithms in Cloud Computing: Approaches Research Directions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cloud computing is one of the emerging techniques of the current era. It is the method of using different computing resources which can be used when needed in steed of purchasing the resources. Task scheduling is important aspect of cloud computing to manage the different task requests from the multiple users simultaneously. It takes a major role in distributing tasks to VMs based on different factors named makespan, efficiency, energy consumption, memory utilization, network connectivity etc. Different task scheduling algorithms such as nature-inspired, bio-inspired and Metaheuristic algorithms are available for making task scheduling more optimal and efficient. The proposed paper attempts a review existing scheduling mechanisms modeled by nature-inspired, bio-inspired, Metaheuristic approaches which addressed various scheduling parameters such as trust factor, fault tolerance etc.

Original languageEnglish
Title of host publication2nd International Conference on Signal Processing, Communication, Power and Embedded Systems, SCOPES 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331506452
DOIs
Publication statusPublished - 2024
Event2nd International Conference on Signal Processing, Communication, Power and Embedded Systems, SCOPES 2024 - Odisha, India
Duration: 19-12-202421-12-2024

Publication series

Name2nd International Conference on Signal Processing, Communication, Power and Embedded Systems, SCOPES 2024

Conference

Conference2nd International Conference on Signal Processing, Communication, Power and Embedded Systems, SCOPES 2024
Country/TerritoryIndia
CityOdisha
Period19-12-2421-12-24

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Signal Processing
  • Software

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