A Survey on Caching in Mobile Edge Computing

Author:

Zhao Yuhan1ORCID,Zhang Wei12ORCID,Zhou Longquan3,Cao Wenpeng1

Affiliation:

1. Shandong Provincial Key Laboratory of Computer Networks, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan 250000, China

2. State Key Laboratory of High-End Server & Storage Technology, Jinan 250000, China

3. Department of Information Engineering, Shandong University of Science and Technology, Tai’an 251000, China

Abstract

Boosted by the visions of 5G technology, along with the proliferation of IoT devices, we are lucky to bear witness of a tremendous shift within the Internet, mobile computing, and ubiquitous applications pervading people’s daily life. To catch up with the speed of this evolution, new architectures, which enable us to decentralize and focus more on the edge of the network, have to show up. To effectively address the record-breaking growth of data traffic, we also have to come up with new caching mechanisms in coping with users’ demanding QoE along with other aspects, such as data privacy and energy efficiency. In this paper, we intend to begin with reviews on edge caching. First, we make a detailed overview of mobile edge caching. Then, we move on to the QoS and QoE part, discussing the related literature concerning these topics. We then start to address factors concerning edge caching and QoE. Four cutting-edge applications utilizing these technologies with challenges posed by current network architectures are made clear. Our paper closes with some future research directions.

Funder

Qilu University of Technology

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Reference149 articles.

1. Mobile Edge Computing: A Survey on Architecture and Computation Offloading

2. Cisco visual networking index: global mobile data traffic forecast update, 2014–2019;C. V. N. Index;Technical Report,2015

3. Next Generation 5G Wireless Networks: A Comprehensive Survey

4. Mobile computing: the next decade;M. Satyanarayanan

5. Big data caching for networking: moving from cloud to edge

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