Energy Driven Avatar Migration in Green Cloudlet Networks
Document Type
Article
Publication Date
7-1-2017
Abstract
Fully utilizing green energy can remarkably decrease the operational cost of cloudlet providers in provisioning green cloudlet networks (GCNs), which are powered by both green and brown energy. Owing to the spatial and temporal dynamics of energy demands and green energy generation, migrating Avatars (i.e., virtual machines) from green energy deprived cloudlets into green energy over-provisioned cloudlets can reduce the total on-grid energy consumption of GCN. However, Avatar migration itself consumes non-negligible energy consumption. In this letter, we propose the Energy driven AvataR migration (EARN) scheme to reduce the total on-grid energy consumption of GCN by considering the energy consumption of Avatar migrations. The performance of EARN is demonstrated by extensive simulations.
Identifier
85029851732 (Scopus)
Publication Title
IEEE Communications Letters
External Full Text Location
https://doi.org/10.1109/LCOMM.2017.2684812
ISSN
10897798
First Page
1601
Last Page
1604
Issue
7
Volume
21
Recommended Citation
Fan, Qiang; Ansari, Nirwan; and Sun, Xiang, "Energy Driven Avatar Migration in Green Cloudlet Networks" (2017). Faculty Publications. 9458.
https://digitalcommons.njit.edu/fac_pubs/9458
