DocumentCode :
61512
Title :
NFRA: Generalized Network Flow-Based Resource Allocation for Hosting Centers
Author :
Patel, K. ; Annavaram, Murali ; Pedram, Massoud
Author_Institution :
Nvidia Inc., Santa Clara, CA, USA
Volume :
62
Issue :
9
fYear :
2013
fDate :
Sept. 2013
Firstpage :
1772
Lastpage :
1785
Abstract :
Due to prohibitive cost of data center setup and maintenance, many small-scale businesses rely on hosting centers to provide the cloud infrastructure to run their workloads. Hosting centers host services of the clients on their behalf and guarantee quality of service as defined by service level agreements (SLAs.) To reduce energy consumption and to maximize profit it is critical to optimally allocate resources to meet client SLAs. Optimal allocation is a nontrivial task due to 1) resource heterogeneity where energy consumption of a client task varies depending on the allocated resources 2) lack of energy proportionality where energy cost for a task varies based on server utilization. In this paper, we introduce a generalized Network Flow-based Resource Allocation framework, called NFRA, for energy minimization and profit maximization. NFRA provides a unified framework to model profit maximization under a wide range of SLAs. We will demonstrate the simplicity of this unified framework by deriving optimal resource allocations for three different SLAs. We derive workload demands and server energy consumption data from SPECWeb2009 benchmark results to demonstrate the efficiency of NFRA framework.
Keywords :
cloud computing; computer centres; contracts; energy consumption; quality of service; resource allocation; NFRA framework; SLA; SPECWeb2009 benchmark; cloud infrastructure; data center maintenance; data center setup; energy consumption reduction; energy cost; energy minimization; energy proportionality lackness; generalized network flow-based resource allocation framework; hosting centers; profit maximization; quality of service; resource allocation; resource heterogeneity; server energy consumption data; server utilization; service level agreements; small-scale business; workload demands; Energy consumption; Minimization; Resource management; Servers; Throughput; Time factors; Resource allocation; clouds; data center; energy proportionality; hosting center; network flow;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/TC.2012.253
Filename :
6338922
Link To Document :
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