Name
Abstract | ||
|---|---|---|
Allocating heterogeneous resource types among multiple clients in a shared datacenter is challenging. Traditional resource allocation models have largely been designed to provide QoS for a single resource type, and result in poor utilization and fairness when applied to multiple coupled resources. In this paper we present a new formal model for allocating multiple resource types among clients to provide both fairness and high system utilization. The model and algorithms are validated with empirical results. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICPPW.2016.58 | 2016 45th International Conference on Parallel Processing Workshops (ICPPW) |
Keywords | Field | DocType |
Data Center,Resource Allocation,Heterogeneous Resources,QoS,Fairness,Envy Freedom,Sharing Incentive | Max-min fairness,Computer science,Quality of service,Computer network,Resource allocation,Data center,Distributed computing | Conference |
ISSN | ISBN | Citations |
1530-2016 | 978-1-5090-2826-9 | 1 |
PageRank | References | Authors |
0.37 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad Shahriar Parvez Khan | 1 | 1 | 0.71 |
| Peter J. Varman | 2 | 700 | 83.23 |