An Investigation of Task Offloading Latency in Edge-Cloud Environment Using Machine Learning Techniques

P. Joel Hebrew, S. Prem Kumar, R. Naveen Raj, N. Kumar

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

Abstract

The volume of information produced by Internet of Things (IoT) gadgets has significantly expanded along with how many of these gadgets are connected to the Internet. Now a day's Edge-Cloud computing has a major roll to store the data. Edge computing is close proximity to the network's edge enables quick data processing and supporting user request. Therefore, we present an Edge-Cloud system design that enables scheduling IoT application offloading operations reducing a massive volume of data being transmitted in the network.

Original languageEnglish
Title of host publication2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages797-803
Number of pages7
ISBN (Electronic)9798350397376
DOIs
Publication statusPublished - 2023
Event9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023 - Coimbatore, India
Duration: 17-03-202318-03-2023

Publication series

Name2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023

Conference

Conference9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023
Country/TerritoryIndia
CityCoimbatore
Period17-03-2318-03-23

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing
  • Information Systems and Management
  • Electrical and Electronic Engineering

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