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An Extensive Analysis and Survey of Task Scheduling Algorithms In Cloud Fog Computing

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

Abstract

The paper gives an insight and overview of Cloud Computing, Fog computing and Task scheduling methods. When we require scalable along with on demand access for computing resources while using internet then Cloud Computing comes into the picture. It has the capability to deliver on request, Self-service, wider network access, resource pooling, swift elasticity and deliberate services. Fog computing can processes data at the edge of the network, because of which faster processing and the storage of data nearer to the data sources happens which in fact can enhance the capabilities. In cloud and fog computing environment task scheduling has an essential role as it has the capabilities to optimize the allocation of resources, enhancing the efficiency and it can guarantee the performance in latency-sensitive based applications. Here in this paper various challenges faced are discussed and it describes about variety of algorithms designed to enhance the scheduling efficiency.

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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