Profit maximization for geographically dispersed green data centers
Document Type
Article
Publication Date
1-1-2018
Abstract
This paper aims at maximizing the profit associated with running geographically dispersed green data centers, which offer multiple classes of service. To this end, we formulate an optimization framework which relies on the accuracy of the G/D/1 queue in characterizing the workload distribution, and taps on the merits of the workload's decomposition into green and brown workloads served by green and brown energy resources, respectively. Moreover, we take into account not only the service level agreements between the data centers and clients but also different deregulated electricity markets of data centers located at different regions. We prove the convexity of our optimization problem, and the performance of the proposed workload distribution strategy is evaluated via extensive simulations.
Identifier
85039172529 (Scopus)
Publication Title
IEEE Transactions on Smart Grid
External Full Text Location
https://doi.org/10.1109/TSG.2016.2562565
ISSN
19493053
First Page
703
Last Page
711
Issue
2
Volume
9
Recommended Citation
Kiani, Abbas and Ansari, Nirwan, "Profit maximization for geographically dispersed green data centers" (2018). Faculty Publications. 8953.
https://digitalcommons.njit.edu/fac_pubs/8953
