Revenue Maximization in Delay-aware Computation Offloading among Service Providers with Fog Federation

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  • Mithun Mukherjee, Nanjing University of Information Science & Technology
  • ,
  • Vikas Kumar, Bihar, Bharat Sanchar Nigam Limited
  • ,
  • Jaime Lloret, Universidad Politéchnica de Valencia
  • ,
  • Qi Zhang

In this letter, we study the computational offloading scheme for the delay-aware tasks of the end-users in the fog computing network. We consider a fog federation of different service providers where an individual fog node allocates its computing resources to the end-user in its proximity, while a fog manager coordinates the load balancing among the fog nodes over the entire network. At first, an individual fog node aims to maximize its revenue by selling the computational resources to the end-user in a distributed manner without any global knowledge of the network. To further maximize the overall revenue considering all fog nodes in the fog federation, the fog manager utilizes the remaining computing resources of the underloaded fog nodes. The extensive simulation results show the revenue improvement leveraging fog federation over entire network while maintaining the same and even better delay-performance for the end-users.

Original languageEnglish
JournalIEEE Communications Letters
Volume24
Issue8
Pages (from-to)1799-1803
Number of pages5
ISSN1089-7798
DOIs
Publication statusPublished - Aug 2020

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