Research in Mobile Database Query Optimization and Processing

The emergence of mobile computing provides the ability to access information at any time and place. However, as mobile computing environments have inherent factors like power, storage, asymmetric communication cost, and bandwidth limitations, efficient query processing and minimum query response tim...

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Main Authors: Agustinus Borgy Waluyo, Bala Srinivasan, David Taniar
Format: Article
Language:English
Published: Hindawi Limited 2005-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2005/161239
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spelling doaj-10627afdab35467d8fcf304b09acd87f2021-07-02T07:41:53ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2005-01-011422525210.1155/2005/161239Research in Mobile Database Query Optimization and ProcessingAgustinus Borgy Waluyo0Bala Srinivasan1David Taniar2School of Computer Science and Software Engineering, Monash University, AustraliaSchool of Computer Science and Software Engineering, Monash University, AustraliaSchool of Business Systems, Monash University, AustraliaThe emergence of mobile computing provides the ability to access information at any time and place. However, as mobile computing environments have inherent factors like power, storage, asymmetric communication cost, and bandwidth limitations, efficient query processing and minimum query response time are definitely of great interest. This survey groups a variety of query optimization and processing mechanisms in mobile databases into two main categories, namely: (i) query processing strategy, and (ii) caching management strategy. Query processing includes both pull and push operations (broadcast mechanisms). We further classify push operation into on-demand broadcast and periodic broadcast. Push operation (on-demand broadcast) relates to designing techniques that enable the server to accommodate multiple requests so that the request can be processed efficiently. Push operation (periodic broadcast) corresponds to data dissemination strategies. In this scheme, several techniques to improve the query performance by broadcasting data to a population of mobile users are described. A caching management strategy defines a number of methods for maintaining cached data items in clients' local storage. This strategy considers critical caching issues such as caching granularity, caching coherence strategy and caching replacement policy. Finally, this survey concludes with several open issues relating to mobile query optimization and processing strategy.http://dx.doi.org/10.1155/2005/161239
collection DOAJ
language English
format Article
sources DOAJ
author Agustinus Borgy Waluyo
Bala Srinivasan
David Taniar
spellingShingle Agustinus Borgy Waluyo
Bala Srinivasan
David Taniar
Research in Mobile Database Query Optimization and Processing
Mobile Information Systems
author_facet Agustinus Borgy Waluyo
Bala Srinivasan
David Taniar
author_sort Agustinus Borgy Waluyo
title Research in Mobile Database Query Optimization and Processing
title_short Research in Mobile Database Query Optimization and Processing
title_full Research in Mobile Database Query Optimization and Processing
title_fullStr Research in Mobile Database Query Optimization and Processing
title_full_unstemmed Research in Mobile Database Query Optimization and Processing
title_sort research in mobile database query optimization and processing
publisher Hindawi Limited
series Mobile Information Systems
issn 1574-017X
1875-905X
publishDate 2005-01-01
description The emergence of mobile computing provides the ability to access information at any time and place. However, as mobile computing environments have inherent factors like power, storage, asymmetric communication cost, and bandwidth limitations, efficient query processing and minimum query response time are definitely of great interest. This survey groups a variety of query optimization and processing mechanisms in mobile databases into two main categories, namely: (i) query processing strategy, and (ii) caching management strategy. Query processing includes both pull and push operations (broadcast mechanisms). We further classify push operation into on-demand broadcast and periodic broadcast. Push operation (on-demand broadcast) relates to designing techniques that enable the server to accommodate multiple requests so that the request can be processed efficiently. Push operation (periodic broadcast) corresponds to data dissemination strategies. In this scheme, several techniques to improve the query performance by broadcasting data to a population of mobile users are described. A caching management strategy defines a number of methods for maintaining cached data items in clients' local storage. This strategy considers critical caching issues such as caching granularity, caching coherence strategy and caching replacement policy. Finally, this survey concludes with several open issues relating to mobile query optimization and processing strategy.
url http://dx.doi.org/10.1155/2005/161239
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AT balasrinivasan researchinmobiledatabasequeryoptimizationandprocessing
AT davidtaniar researchinmobiledatabasequeryoptimizationandprocessing
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