A hybrid model for improving response time in distributed data mining.
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.
Krishnaswamy
Shonali
S
School of Computer Science and Software Engineering, Monash University, Melbourne 3145, Australia. Shonali.Krishnaswamy@infotech.monash.edu.au
Loke
Seng W
SW
Zaslasvky
Arkady
A
D000465:Algorithms; D001185:Artificial Intelligence; D003195:Computer Communication Networks; D003198:Computer Simulation; D003628:Database Management Systems; D016208:Databases, Factual; D033181:Information Dissemination / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods*; D008962:Models, Theoretical; D009862:Online Systems; D010363:Pattern Recognition, Automated / Q000379:methods; D013997:Time Factors