Workload Allocation in Hierarchical Cloudlet Networks

Document Type

Article

Publication Date

4-1-2018

Abstract

Edge cloudlets are promising to mitigate the high network delay incurred by the remote cloud in executing workloads offloaded from a user equipment (UE). However, the response time of a task request consists of both the network delay and computing delay. Considering the spatial and temporal dynamics of workloads among cloudlets, if the workload of an edge cloudlet is heavy, the computing delay in the cloudlet may be unbearable. In this letter, we design a hierarchical cloudlet network and propose a workload allocation scheme to minimize the average response time of UEs' requests by deciding which cloudlet a UE is assigned to and how much computing resource is provisioned to serve it. The performance of the proposed scheme is validated by extensive simulations.

Identifier

85041659510 (Scopus)

Publication Title

IEEE Communications Letters

External Full Text Location

https://doi.org/10.1109/LCOMM.2018.2801866

ISSN

10897798

First Page

820

Last Page

823

Issue

4

Volume

22

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