An Approach to QoS-based Task Distribution in Edge Computing Networks for IoT Applications

Yaozhong Song, Sik-Sang Yau, Ruozhou Yu, Xiang Zhang, Guoliang Xue

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

49 Scopus citations


Internet of Things (IoT) is emerging as part ofthe infrastructures for advancing a large variety of applicationsinvolving connection of many intelligent devices, leadingto smart communities. Due to the severe limitation on thecomputing resources of IoT devices, it is common to offloadtasks of various applications requiring substantial computingresources to computing systems with sufficient computingresources, such as servers, cloud systems, and/or data centersfor processing. However, the offloading method suffers fromthe difficulties of high latency and network congestion in theIoT infrastructures. Recently edge computing has emergedto reduce the negative impacts of these difficulties. Yet, edgecomputing has its drawbacks, such as the limited computingresources of some edge computing devices and the unbalancedload among these devices. In order to effectively explorethe potential of edge computing to support IoT applications,it is necessary to have efficient task management in edgecomputing networks. In this paper, an approach is presented toperiodically distributing incoming tasks in the edge computingnetwork so that the number of tasks, which can be processedin the edge computing network, is increased, and the qualityof-service (QoS) requirements of the tasks completed in theedge computing network are satisfied. Simulation results arepresented to show the improvement of using this approach onthe increase of the number of tasks to be completed in the edgecomputing network.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE 1st International Conference on Edge Computing, EDGE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Electronic)9781538620175
StatePublished - Sep 7 2017
Event1st IEEE International Conference on Edge Computing, EDGE 2017 - Honolulu, United States
Duration: Jun 25 2017Jun 30 2017


Other1st IEEE International Conference on Edge Computing, EDGE 2017
CountryUnited States


  • Edge computing
  • IoT applications
  • Quality-of service
  • Task distribution

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture

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