Distributed databases principles and systems
Distributed databases principles and systems
ACM Computing Surveys (CSUR)
Performance tradeoffs for client-server query processing
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Broadcast protocols to support efficient retrieval from databases by mobile users
ACM Transactions on Database Systems (TODS)
DataSpace—querying and monitoring deeply networked collections in physical space
Proceedings of the 1st ACM international workshop on Data engineering for wireless and mobile access
Client-server computing in mobile environments
ACM Computing Surveys (CSUR)
On Coupling Multiple Systems With A Global Buffer
IEEE Transactions on Knowledge and Data Engineering
Optimization of Parallel Execution for Multi-Join Queries
IEEE Transactions on Knowledge and Data Engineering
On the Complexity of Distributed Query Optimization
IEEE Transactions on Knowledge and Data Engineering
Mobile Computing and Databases-A Survey
IEEE Transactions on Knowledge and Data Engineering
Interleaving a Join Sequence with Semijoins in Distributed Query Processing
IEEE Transactions on Parallel and Distributed Systems
Combining Joint and Semi-Join Operations for Distributed Query Processing
IEEE Transactions on Knowledge and Data Engineering
Modeling and Querying Moving Objects
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
Cost and Imprecision in Modeling the Position of Moving Objects
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Design and Analysis of Parametric Query Optimization Algorithms
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Querying in Highly Mobile Distributed Environments
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Using Remote Joins for the Processing of Distributed Mobile Queries
DASFAA '01 Proceedings of the 7th International Conference on Database Systems for Advanced Applications
Location Dependent Data and its Management in Mobile Databases
DEXA '98 Proceedings of the 9th International Workshop on Database and Expert Systems Applications
The design of an acquisitional query processor for sensor networks
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Evolution of wireless data services: IS-95 to cdma2000
IEEE Communications Magazine
Adaptive query processing in mobile environment
MPAC '05 Proceedings of the 3rd international workshop on Middleware for pervasive and ad-hoc computing
Location-dependent query processing: Where we are and where we are heading
ACM Computing Surveys (CSUR)
| Hi-index | 0.00 |
With the cutting edge technology advance in wireless and mobile computers, the query processing in a mobile environment involves join processing among different sites which include static servers and mobile computers. Because of the need for energy saving and also the presence of asymmetric features in a mobile computing environment, the conventional query processing for a distributed database cannot be directly applied to a mobile computing system. In this paper, we first explore three asymmetric features of a mobile environment. Then, in light of these features, we devise query processing methods for both join and query processing.Intuitively, employing semijoin operations in a mobile computing environment is able to further reduce both the amount of data transmission and energy consumption. A semijoin which is initiated by a mobile computer (respectively, the server) and is beneficial to reduce the cost of a join operation is termed a mobile-initiated or MI (respectively, server-initiated or SI) profitable semijoin. According to those asymmetric features of a mobile computing system, we examine three different join methods and devise some specific criteria to identify MI/SI profitable semijoins. For query processing, which refers to the processing of multijoin queries, we develop three query processing schemes. In particular, we formulate the query processing in a mobile computing system as a two-phase query processing procedure that can determine a join sequence and interleave that join sequence with SI profitable semijoins to reduce both the amount of data transmission and energy consumption. Performance of these join and query methods is comparatively analyzed and sensitivity analysis on several parameters is conducted. Furthermore, we develop a systematic procedure to derive the characteristic functions of MI and SI profitable semijoins. It is noted that, given some system parameters, those characteristic functions are very important in determining which join method is the most appropriate one to employ in that configuration. It is shown by our simulation results that, by exploiting the three asymmetric features, these characteristic functions are very powerful in reducing both the amounts of energy consumption and data transmission incurred and can lead to the design of an efficient and effective query processing procedure for a mobile computing environment.