NDLI: Service Level Agreement-Based Joint Application Environment Assignment and Resource Allocation in Cloud Computing Systems

Content Provider	IEEE Xplore Digital Library
Author	Yanzhi Wang Shuang Chen Pedram, M.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA (Yanzhi Wang; Shuang Chen; Pedram, M.)
Abstract	Cloud computing have attracted a lot of attention recently due to increasing demand for high performance computing and storage. Resource allocation is one of the most important challenges in the cloud computing system especially when the clients have some Service Level Agreements (SLAs) and the total profit depends on how the system can meet these SLAs. Moreover, a data center typically hosts and manages a suite of application environments and a fixed number of servers that are allocated to these application environments in a way that maximizes a certain utility function. In this paper, we consider the problem of SLA-based joint optimization of application environment assignment, request dispatching from the clients to the servers, as well as resource allocation in a data center comprised of heterogeneous servers. The objective is to maximize the total profit, which is the total price gained from serving the clients subtracted by the operation cost of the data center. The total price depends on the average service request response time for each client as defined in their utility functions, while the operating cost is related to the total energy consumption. We propose a near-optimal solution of the joint optimization problem based on the Hungarian algorithm for the assignment problem, as well as convex optimization techniques, in a way that is similar to the constructive partitioning algorithm in VLSI computer-aided design (CAD). Experimental results demonstrate that the proposed nearoptimal joint application environment assignment and resource allocation algorithm outperforms baseline algorithms by up to 65.7%.
Sponsorship	IEEE Denver Sect.
Starting Page	167
Ending Page	174
File Size	364773
Page Count	8
File Format	PDF
ISBN	9781467351911
ISSN	21665478
e-ISBN	9780769549668
DOI	10.1109/GreenTech.2013.33
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Assignment problem Resource allocation Linear programming Convex functions Application environment Servers Resource management Joints Optimization
Content Type	Text
Resource Type	Article

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