Optimal application deployment in resource constrained distributed edges

Article

Deng, S., Xiang, Z., Taheri, J., Khoshkholghi, A., Yin, J., Zomaya, A.Y. and Dustdar, S. 2021. Optimal application deployment in resource constrained distributed edges. IEEE Transactions on Mobile Computing. 20 (5), pp. 1907-1923. https://doi.org/10.1109/TMC.2020.2970698
TypeArticle
TitleOptimal application deployment in resource constrained distributed edges
AuthorsDeng, S., Xiang, Z., Taheri, J., Khoshkholghi, A., Yin, J., Zomaya, A.Y. and Dustdar, S.
Abstract

The dramatically increasing of mobile applications make it convenient for users to complete complex tasks on their mobile devices. However, the latency brought by unstable wireless networks and the computation failures caused by constrained resources limit the development of mobile computing. A popular approach to solve this problem is to establish a mobile service provisioning system based on a mobile edge computing (MEC) paradigm. In the MEC paradigm, plenty of machines are placed at the edge of the network so that the performance of applications can be optimized by using the involved microservice instances deployed on them. In this paper, we explore the deployment problem of microserivce-based applications in the MEC environment and propose an approach to help to optimize the cost of application deployment with the constraints of resources and the requirement of performance. We conduct a series of experiments to evaluate the performance of our approach. The result shows that our approach can improve the average response time of mobile services.

KeywordsServers; Urban areas; Mobile computing; Task analysis; Mobile handsets; Time factors; Cloud computing; Mobile service; distributed system; mobile edge computing; service deployment
Sustainable Development Goals9 Industry, innovation and infrastructure
Middlesex University ThemeCreativity, Culture & Enterprise
PublisherIEEE
JournalIEEE Transactions on Mobile Computing
ISSN1536-1233
Electronic1558-0660
Publication dates
Online30 Jan 2020
Print01 May 2021
Publication process dates
Submitted16 Jan 2019
Accepted23 Jan 2020
Deposited02 Dec 2025
Output statusPublished
Publisher's version
File Access Level
Restricted
Digital Object Identifier (DOI)https://doi.org/10.1109/TMC.2020.2970698
Scopus EID2-s2.0-85103970967
Web of Science identifierWOS:000637531900012
LanguageEnglish
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