Research Area:  Edge Computing

Abstract:

In the Green Cloudlet Network (GCN) architecture, each User Equipment (UE) is associated with an Avatar (a private virtual machine for executing its UEs offloaded tasks) in a cloudlet located at the network edge. In order to reduce the operational expenditure for maintaining the distributed cloudlets, each cloudlet is powered by green energy and uses on-grid power as a backup. Owing to the spatial dynamics of energy demands and green energy generations, the energy gap (i.e., energy demand minus green energy generation) among different cloudlets in the network is unbalanced, i.e., some cloudlets energy demands can be fully provisioned by their green energy generations but others need to utilize on-grid power to meet their energy demands. The unbalanced energy gap increases the on-grid power consumption of the cloudlets. In this paper, we propose the Green-energy aware Avatar Placement (GAP) strategy to minimize the total on-grid power consumption of the cloudlets by migrating Avatars among the cloudlets according to the cloudlets residual green energy, while guaranteeing the service level agreement (the End-to-End(E2E) delay requirement between a UE and its Avatar). Simulation results show that GAP can save 57.1% and 57.6% of on-grid power consumption as compared to the two other Avatar placement strategies, i.e., Static Avatar Placement and Follow me AvataR,respectively.

Keywords:  

Author(s) Name:  Xiang Sun and Nirwan Ansari,

Publisher name:  IEEE

DOI:  10.1109/TCC.2017.2764463

Volume Information:  Volume: 8, Issue: 1, Jan.-March 1 2020,Page(s): 180 - 192

Paper Link:   https://ieeexplore.ieee.org/document/8074759