A hybrid model for improving response time in distributed data mining

Author

Krishnaswamy, Shonali ; Loke, Seng W. ; Zaslasvky, Arkady

Author_Institution

Sch. of Comput. Sci. & Software Eng., Monash Univ., Melbourne, Australia

Volume

34

Issue

6

fYear

2004

Firstpage

2466

Lastpage

2479

Abstract

This paper presents a hybrid distributed data mining (DDM) model for optimization of response time. The model combines a mobile agent approach with client server strategies to reduce the overall response time. The hybrid model proposes and develops accurate a priori estimates of the computation and communication components of response time as the costing strategy to support optimization. Experimental evaluation of the hybrid model is presented.

Keywords

client-server systems; data mining; distributed databases; estimation theory; mobile agents; optimisation; DDM model; client server strategy; hybrid distributed data mining; mobile agent approach; optimization; response time; Computer architecture; Cost function; Costing; Data mining; Delay; Distributed computing; Distributed decision making; Mobile agents; Mobile communication; State estimation; Distributed data mining (DDM); optimization; response time; Algorithms; Artificial Intelligence; Computer Communication Networks; Computer Simulation; Database Management Systems; Databases, Factual; Information Dissemination; Information Storage and Retrieval; Models, Theoretical; Online Systems; Pattern Recognition, Automated; Time Factors;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

1083-4419

Type

jour

DOI

10.1109/TSMCB.2004.836885

Filename

1356037