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SLA-Tree: A Framework for Efficiently Supporting SLA-Based Decisions in Cloud Computing

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Executive Summary

As cloud computing becomes increasingly important in database systems, many new challenges and opportunities have arisen. One challenge is that in cloud computing, business profit plays a central role. Hence, it is very important for a cloud service provider to quickly make profit-oriented decisions. In this paper, the authors propose a novel data structure, called SLA-tree, to efficiently support profit-oriented decision making. SLA-tree is built on two pieces of information: a set of buffered queries waiting to be executed, which represents the scheduled events that will happen in the near future, and a Service Level Agreement (SLA) for each query, which indicates the different profits for the query for varying query response times.

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