Edge computing resource procurement: An online optimization approach

Duong Tung Nguyen, Long Bao Le, Vijay Bhargava

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

8 Scopus citations


Edge computing (EC) has emerged as a key technology in future communication networks to enhance user experience and enable various Internet of Things (IoT) applications. In this paper, we propose an online framework for edge computing resource procurement in which a marketplace (platform) is established between sellers (i.e., resource contributors) and buyers (i.e., resource purchasers). Each buyer has a certain budget for his procurement campaign. The sellers arrive to the platform in an online fashion and offer their computing capacities along with prices that they want to be compensated for their services. Upon the arrival of every new offer, the platform has to make an irrevocable decision, without knowing future information, to accept the offer or not and to allocate the accepted resource to which buyer. We present an efficient online optimization method that helps the platform maximize the total system utility with guaranteed performance. Indeed, the developed model can be applied to other interesting settings such as edge caching and content delivery with slight modifications. Finally, numerical studies are conducted to illustrate the effectiveness of the proposed solution approach.

Original languageEnglish (US)
Title of host publicationIEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781467399449
StatePublished - May 4 2018
Externally publishedYes
Event4th IEEE World Forum on Internet of Things, WF-IoT 2018 - Singapore, Singapore
Duration: Feb 5 2018Feb 8 2018

Publication series

NameIEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings


Other4th IEEE World Forum on Internet of Things, WF-IoT 2018


  • crowd-sourcing
  • Edge computing
  • online optimization
  • resource procurement

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality


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