Service Performance Tests on the Mobile Edge Computing Platform: Challenges and Opportunities

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

2 Scopus citations

Abstract

Mobile Edge Computing (MEC) is a fast growing research area that may soon offer alternate service platforms to the clients over today’s Cloud Computing vendors (e.g., Amazon AWS, Google Cloud, or Microsoft Azure, etc.). And when the MEC services are ready and available, just like when Cloud Computing services were presented to the “On-Premises” server clients, despite available research data on compatibility, business owners and engineers will still have to practically implement and host their applications to the MEC servers, measure performance and be convinced first that MEC services can withstand the real users load without any performance degradation or disruption before finally making the switch. In this paper, we first discuss how today’s “On-Premises” server–clients conduct performance analysis before switching to the Cloud computing vendors, discuss the differences between the Cloud computing and MEC paradigms and then we try to envision the challenges and opportunities that may unfold for the performance tests on the future MEC service platforms.

Original languageEnglish (US)
Title of host publicationSmart Service Systems, Operations Management, and Analytics - Proceedings of the 2019 INFORMS International Conference on Service Science
EditorsHui Yang, Robin Qiu, Weiwei Chen
PublisherSpringer Science and Business Media B.V.
Pages241-253
Number of pages13
ISBN (Print)9783030309664
DOIs
StatePublished - 2020
EventINFORMS International Conference on Service Science, INFORMS-CSS 2019 - Nanjing, China
Duration: Jun 27 2019Jun 29 2019

Publication series

NameSpringer Proceedings in Business and Economics
ISSN (Print)2198-7246
ISSN (Electronic)2198-7254

Conference

ConferenceINFORMS International Conference on Service Science, INFORMS-CSS 2019
Country/TerritoryChina
CityNanjing
Period6/27/196/29/19

All Science Journal Classification (ASJC) codes

  • General Business, Management and Accounting
  • Economics, Econometrics and Finance(all)

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