Latency Aware Workload Offloading in the Cloudlet Network

Xiang Sun, Nirwan Ansari

Research output: Contribution to journalArticlepeer-review

118 Scopus citations


We propose a novel network architecture by leveraging the cloudlet concept, the software defined networking technology, and the cellular network infrastructure to bring the computing resource to the mobile edge. In order to minimize the average response time for mobile users (MUs) in offloading their application workloads to the geographically distributed cloudlets, we propose the latency-aware workload offloading (LEAD) strategy to allocate MUs' application workloads into suitable cloudlets. Simulation results demonstrate that LEAD incurs the lowest average response time as compared with two other existing strategies.

Original languageEnglish (US)
Article number7892948
Pages (from-to)1481-1484
Number of pages4
JournalIEEE Communications Letters
Issue number7
StatePublished - Jul 2017

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Modeling and Simulation


  • Cloudlet network
  • application workload offloading
  • delay
  • software defined networking


Dive into the research topics of 'Latency Aware Workload Offloading in the Cloudlet Network'. Together they form a unique fingerprint.

Cite this