Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.datak.2004.08.004
Title: An adaptable distributed query processing architecture
Authors: Zhou, Y.
Ooi, B.C. 
Tan, K.-L. 
Tok, W.H. 
Keywords: Adaptive query processing
Distributed DBs
Multi-join
Query optimization
Query processing
Issue Date: 2005
Source: Zhou, Y.,Ooi, B.C.,Tan, K.-L.,Tok, W.H. (2005). An adaptable distributed query processing architecture. Data and Knowledge Engineering 53 (3) : 283-309. ScholarBank@NUS Repository. https://doi.org/10.1016/j.datak.2004.08.004
Abstract: Traditionally, distributed query optimization techniques generate static query plans at compile time. However, the optimality of these plans depends on many parameters (such as the selectivities of operations, the transmission speeds and workloads of servers) that are not only difficult to estimate but are also often unpredictable and fluctuant at runtime. As the query processor cannot dynamically adjust the plans at runtime, the system performance is often less than satisfactory. In this paper, we introduce a new highly adaptive distributed query processing architecture. Our architecture can quickly detect fluctuations in selectivities of operations, as well as transmission speeds and workloads of servers, and accordingly change the operation order of a distributed query plan during execution. We have implemented a prototype based on the Telegraph system [Telegragraph project. Available from <http://telegraph.cs.berkeley.edu/>]. Our experimental study shows that our mechanism can adapt itself to the changes in the environment and hence approach to an optimal plan during execution. © 2004 Elsevier B.V. All rights reserved.
Source Title: Data and Knowledge Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/39133
ISSN: 0169023X
DOI: 10.1016/j.datak.2004.08.004
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