NDLI: Satisfying database service level agreements while minimizing cost through storage QoS

Content Provider	IEEE Xplore Digital Library
Author	Reiss, F.R. Kanungo, T.
Copyright Year	2005
Description	Author affiliation: Comput. Sci. Div., California Univ., Berkeley, CA, USA (Reiss, F.R.)
Abstract	The emerging paradigms of service oriented architectures and utility-based computing have the potential to greatly reduce the cost of data management. Data management service providers negotiate with their customers to agree on a service level agreement (SLA) that guarantees performance and reliability. However, these providers have the freedom to cut costs by taking advantage of economies of scale across multiple customers. In this paper, we examine the problem of choosing a QoS level for each table or index in a service provider's backend databases so as to minimize the dollar cost of provisioning storage while satisfying application-level SLAs. This problem is difficult because changes in the access cost of different portions of the database can cause the database to alter its access patterns. We develop an algorithm that optimizes the choice of query execution plans and storage layout simultaneously to meet an SLA at minimum cost. In our experiments we use a part of the TPC-H benchmark as the workload and several models of the incremental cost of placing a volume at a high quality of service. Our results show that significant cost savings are possible through selective use of high storage QoS levels.
Starting Page	13
Ending Page	21
File Size	385431
Page Count	9
File Format	PDF
ISBN	0769524087
DOI	10.1109/SCC.2005.79
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Relational databases Quality of service Web services Service oriented architecture Resource management Outsourcing Economies of scale Indexes Cost function Computer science
Content Type	Text
Resource Type	Article

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