Resource Aware Placement of Data Analytics Platform in Fog Computing

Mohit Taneja, Alan Davy

Research output: Contribution to journalConference articlepeer-review

29 Citations (Scopus)

Abstract

Fog computing is an extension of cloud computing right to the edge of the network, and seeks to minimize service latency and average response time in applications, thereby enhancing the end-user experience. However, there still is the need to define where the service should run for attaining maximum efficiency. By way of the work proposed in this paper, we seek to develop a resource-aware placement of data analytics platform in fog computing architecture, that would adaptively deploy the analytic platform to run either on the cloud, or the fog, thus reducing the network costs and response time for the user.

Original languageEnglish
Pages (from-to)153-156
Number of pages4
JournalProcedia Computer Science
Volume97
DOIs
Publication statusPublished - 2016
Event2nd International Conference on Cloud Forward: From Distributed to Complete Computing, CF 2016 - Madrid, Spain
Duration: 18 Oct 201620 Oct 2016

Keywords

  • analytics
  • Cloud computing
  • fog computing
  • Internet of Things (IoT)
  • virtual machine

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