Paper Info
Title
Hybrid Storage Throughput Allocation Among Multiple Clients in Heterogeneous Data Center
Abstract
The SSD is adopted to improve the IO performanceof the storage system in the data center, the throughput allocation for clients is a challenging problem. We need to find a throughput allocation method, which can determine the throughput allocations of clients on each server, while both providing the fair allocations for clients and maximizing the utilization of system throughput resource in the entire data center. In this paper, we propose an unified allocation framework(UAF), UAF jointly allocates throughput resource across allheterogeneous storage servers, can achieve the fair throughput allocations for all clients and maximize the utilization of system throughput resource in the entire data center. We can prove that UAF satisfies fairness properties of Envy Freedom, Sharing Incentive and Pareto Optimality. We evaluated the performance of UAF using both simulation and implementation in a cluster consisting of multiple heterogeneous storage severs. The experiment results show our method can determine the throughput allocations of clients in each server, and provide both the efficient and fair allocation in the entire data center.
Year
DOI
Venue
2015
10.1109/HPCC-CSS-ICESS.2015.49
HPCC/CSS/ICESS
Keywords
Field
DocType
hybrid storage, throughput allocation on each server, fairness, efficiency, heterogeneous data center
Resource management,Data modeling,Computer science,Scheduling (computing),Computer data storage,Server,Computer network,Real-time computing,Maximum throughput scheduling,Throughput,Data center,Distributed computing
Conference
ISSN
Citations 
PageRank 
2576-3504
1
0.41
References 
Authors
25
10
Name
Order
Citations
PageRank
zhisheng huo1117.61
Limin Xiao210728.51
Qiaoling Zhong320.75
shupan li483.71
Ang Li520.75
Ruan Li6266.75
Kelong Liu720.75
Yuanyuan Zang820.75
Pei Wang910.41
Zheqi Lu1020.75