Name
Title | ||
|---|---|---|
Energy-Efficient Job-Assignment Policy with Asymptotically Guaranteed Performance Deviation |
Abstract | ||
|---|---|---|
We study a job-assignment problem in a large-scale server farm system with geographically deployed servers as abstracted computer components (e.g., storage, network links, and processors) that are potentially diverse. We aim to maximize the energy efficiency of the entire system by effectively controlling carried load on networked servers. A scalable, near-optimal job-assignment policy is proposed... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TNET.2020.2983460 | IEEE/ACM Transactions on Networking |
Keywords | DocType | Volume |
Servers,Optimization,Computational modeling,Power demand,Energy consumption,Numerical models,Stochastic processes | Journal | 28 |
Issue | ISSN | Citations |
3 | 1063-6692 | 1 |
PageRank | References | Authors |
0.35 | 0 | 2 |