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A Survey on Mobile Edge Computing: Joint Offloading and Resource Allocation Perspective

EasyChair Preprint no. 7002

7 pagesDate: November 7, 2021

Abstract

The exponential growth of distributed IoT devices and mobile applications are the driving forces for the smart world solutions. Cloud, Cloudlets and Mobile Edge Computing are the promising solutions for ubiquitous and on demand user applications at the Edge device. Edge computing is the current industry requirement to provide low latency services. Offloading techniques play a phenomenal role in Edge computing environment in terms of dynamic decision making on task execution location that depends on the delay, size of the task and, many other factors. Hence, offloading strategies in mobile edge computing is a vast research area which needs more focus. This paper focused on various offloading strategies and their comparison as this study gives a valuable start to fellow researchers who are interested in offloading techniques in mobile edge computing

Keyphrases: Internet of Things, Mobile Edge Computing, Offloading, resource allocation

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:7002,
  author = {K Chakravarthy Antharaju and T Rama Reddy and N Ramakrishnaiah},
  title = {A Survey on Mobile Edge Computing: Joint Offloading and Resource Allocation Perspective},
  howpublished = {EasyChair Preprint no. 7002},

  year = {EasyChair, 2021}}
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