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Case for dynamic deployment in a grid-based distributed query processor
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DOI：10.1016/j.future.2011.05.018.png)
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Grid computing enables users to perform computationally expensive applications on distributed resources acquired dynamically. Users are allowed to combine structured data and analysis components into new applications from distributed sites into new applications. Distributed query processing offers an established way of structuring such computations, and well-known tools like OGSA-DAI and OGSA-DQP provide respectively a common interface to heterogeneous databases, and a way of exploiting distributed resources. Such significant benefits are however often undermined by high communication costs due to the need to move data between distributed resources. This paper describes an approach that addresses this by dynamically deploying query processing engines, analysis services and databases within virtual machines, on an internet-scale, so as to reduce communication costs. Results of internet-scale experiments are presented to demonstrate the performance benefits. Further, the use of dynamic deployment features based on requirements allows the creation of an ad-hoc runtime engine and thus opens up the possibility of creating a virtual marketplace for software and hardware resources. (C) 2011 Elsevier B.V. All rights reserved.
Keyword:
Grid computing
Virtual organizations
Web services
Distributed query processing
Dynamic deployment
Virtual machines
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The design and implementation of OGSA-DQP: A service-based distributed query processor基于服务的分布式查询处理器ogsa-dqp的设计与实现
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