Scheduling in Grid Databases

Many global organizations are generating large volumes of highly distributed data that must be shared for querying by the organization's participants, which can be put together by a grid infrastructure. Scheduling query execution in these environment is an important issue. Centralized and hiera...

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Bibliographic Details
Published in:Proceedings, 22nd International Conference on Advanced Information Networking and Applications Workshops/Symposia : Gino-wan, Okinawa, Japan 25-28 March 2008 pp. 696 - 701
Main Authors: de Carvalho Costa, R.L., Furtado, P.
Format: Conference Proceeding
Language:English
Published: IEEE 01.03.2008
Subjects:
Availability
Computer architecture
Data grid
Database systems
Distributed databases
Grid computing
Mesh generation
Processor scheduling
QoS
Resource management
scheduling
Sun
Throughput
ISBN:0769530966, 9780769530963
Online Access:Get full text
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Summary:Many global organizations are generating large volumes of highly distributed data that must be shared for querying by the organization's participants, which can be put together by a grid infrastructure. Scheduling query execution in these environment is an important issue. Centralized and hierarchical scheduling architectures are between the most commonly used scheduling architectures in distributed databases and grid computing, respectively. Each architectural model has its own advantages and disadvantages. In this paper, we evaluate the usage of both models in querying highly distributed data. We consider several scheduling policies and experimentally compare scheduling models and policies in terms of throughput and SLO-fulfillment. The obtained results indicate that layered on-demand scheduling may lead to good results in both throughput and SLO-oriented environments.
ISBN:0769530966
9780769530963
DOI:10.1109/WAINA.2008.196