DocumentCode :
14556
Title :
Cost-Aware Cooperative Resource Provisioning for Heterogeneous Workloads in Data Centers
Author :
Jianfeng Zhan ; Lei Wang ; Xiaona Li ; Weisong Shi ; Chuliang Weng ; Wenyao Zhang ; Xiutao Zang
Author_Institution :
State Key Lab. of Comput. Archit., Inst. of Comput. Technol., Beijing, China
Volume :
62
Issue :
11
fYear :
2013
fDate :
Nov. 2013
Firstpage :
2155
Lastpage :
2168
Abstract :
Recent cost analysis shows that the server cost still dominates the total cost of high-scale data centers or cloud systems. In this paper, we argue for a new twist on the classical resource provisioning problem: heterogeneous workloads are a fact of life in large-scale data centers, and current resource provisioning solutions do not act upon this heterogeneity. Our contributions are threefold: first, we propose a cooperative resource provisioning solution, and take advantage of differences of heterogeneous workloads so as to decrease their peak resources consumption under competitive conditions; second, for four typical heterogeneous workloads: parallel batch jobs, web servers, search engines, and MapReduce jobs, we build an agile system PhoenixCloud that enables cooperative resource provisioning; and third, we perform a comprehensive evaluation for both real and synthetic workload traces. Our experiments show that our solution could save the server cost aggressively with respect to the noncooperative solutions that are widely used in state-of-the-practice hosting data centers or cloud systems: for example, EC2, which leverages the statistical multiplexing technique, or RightScale, which roughly implements the elastic resource provisioning technique proposed in related state-of-the-art work.
Keywords :
cloud computing; computer centres; costing; file servers; parallel processing; resource allocation; search engines; EC2; MapReduce jobs; RightScale; Web servers; agile system PhoenixCloud; cloud systems; cost analysis; cost-aware cooperative resource provisioning; data centers; elastic resource provisioning technique; heterogeneous workloads; parallel batch jobs; peak resources consumption; real workload traces; search engines; server cost; statistical multiplexing technique; synthetic workload traces; Cooling; Monitoring; Multiplexing; Search engines; Web servers; Data centers; cloud; cooperative resource provisioning; cost; heterogeneous workloads; statistical multiplexing;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/TC.2012.103
Filename :
6205737
Link To Document :
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