Multi-access edge computing: open issues, challenges and future perspectives

Sonia Shahzadi, Muddesar Iqbal, Tasos Dagiuklas, Zia Ul Qayyum

Research output: Contribution to journalArticlepeer-review

132 Citations (Scopus)

Abstract

Latency minimization is a pivotal aspect in provision of real time services while adhering to Quality of Experience (QoE) parameters for assuring spectral efficiency. Edge Cloud Computing, being a potential research dimension in the realm of 5G networks, targets to enhance the network efficiency by harnessing activeness of both cloud computing and mobile devices in user's proximity. Keeping in view the far ranging impact of Edge Cloud Computing in future mobile generations, a comprehensive review of the prevalent Edge Cloud Computing frameworks and approaches is presented with a detailed comparison of its classifications through various QoS metrics (pertinent to network performance and overheads associated with deployment/migration). Considering the knowledge accumulated, procedures analysed and theories discussed, the paper provides a comprehensive overview on sate-of-the-art and future research directions for multi-access mobile edge computing.
Original languageEnglish
Article number30
JournalJournal of Cloud Computing : Advances, Systems and Applications
Volume6
Issue number1
DOIs
Publication statusPublished - 1 Dec 2017

Bibliographical note

Publisher Copyright:
© 2017, The Author(s).

Keywords

  • Cloud computing
  • Cloudlets
  • Edge cloud
  • Fog computing
  • Internet of things
  • Mobile cloud computing

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