Delay-sensitive and Priority-aware Task Offloading for Edge Computing-assisted Healthcare Services

Mithun Mukherjee, Vikas Kumar, Dipendu Maity, Rakesh Matam, Constandinos X. Mavromoustakis, Qi Zhang, George Mastorakis

Research output: Contribution to conferencePaperResearchpeer-review


In this paper, we study the priority-aware task data offloading in edge computing-assisted healthcare service provisioning. The edge server aims to provide additional computing resources to the end-users for processing the delay-sensitive tasks. However, at the same time, it becomes a challenging issue when some of the tasks demand lower response time compared to the other tasks. We present a priority-aware task offloading and scheduling strategy that allocates the computing resources to the high-priority tasks. The hard-deadline tasks are processed first. Later, the remaining computing resources are used to tolerate longer average response time for the soft-deadline tasks. Moreover, we derive a lower bound of the average response time for all hard- and soft-deadline tasks. Through extensive simulations, we show that the proposed task scheduling manages to allocate the computing resources of both end-users and edge server to the hard-deadline tasks while scheduling the soft-deadline tasks with low priority.

Original languageEnglish
Publication dateDec 2020
Publication statusPublished - Dec 2020
Event2020 IEEE Global Communications Conference - Taipei, Taiwan + Online (Hybrid), Taipei, Taiwan
Duration: 7 Dec 202011 Dec 2020


Conference2020 IEEE Global Communications Conference
LocationTaipei, Taiwan + Online (Hybrid)
Internet address


  • Delay-sensitive tasks
  • E-Health
  • Edge Computing
  • Fog computing
  • Task offloading


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