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Distributed Query Scheduling Service:
An Architecture and Its Implementation
Ling Liu and Calton Pu

Oregon Graduate Institute
Department of Computer Science & Engineering
P.O.Box 91000 Portland
Oregon 97291-1000 USA flingliu,caltong@cse.ogi.edu Kirill Richine

University of Alberta
Department of Computer Science
GSB615, Edmonton
T6G2H1 AB, Canada kirill@cs.ualberta.ca Abstract
We present the systematic design and development of a distributed query scheduling service (DQS) in the context of DIOM, a distributed and interoperable query mediation system 26]. DQS consists of an extensible architecture for distributed query processing, a three-phase optimization algorithm for generating e cient query execution schedules, and a prototype implementation. Functionally, two important execution models of distributed queries, namely moving query to data or moving data to query, are supported and combined into a uni ed framework, allowing the data sources with limited search and ltering capabilities to be incorporated through wrappers into the distributed query scheduling process. Algorithmically, conventional optimization factors (such as join order) are considered separately from and re ned by distributed system factors (such as data distribution, execution location, heterogeneous host capabilities), allowing for stepwise re nement through three optimization phases: compilation, parallelization, site selection and execution. A subset of DQS algorithms has been implemented in Java to demonstrate the practicality of the architecture and the usefulness of the distributed query scheduling algorithm in optimizing execution schedules for inter-site queries.

Keywords: Distributed and Cooperative Information System, Distributed Query Scheduling, Distributed Heterogeneous Information service.

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1 Introduction
Over the last few years the

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