Efficient Prediction of Quality of Service for Data Mining Web Services

Authors

Shonali Krishnaswamy, School of Computer Science and Software Engineering, Monash University, AustraliaFollow
Seng Wai Loke, School of Computer Science and Software Engineering, Monash University, AustraliaFollow
Arkady Zaslavsky, School of Computer Science and Software Engineering, Monash University, AustraliaFollow

Document Type

Article

Abstract

Apriori estimation of quality of service (QoS) levels is a significant issue in web services since Service Level Agreements (SLAs) need to specify and adhere to such estimates. In this paper we present novel cost formulae for estimating the end-to-end response time for distributed data mining (DDM) web services.

Recommended Citation

Krishnaswamy, Shonali; Loke, Seng Wai; and Zaslavsky, Arkady, "Efficient Prediction of Quality of Service for Data Mining Web Services" (2003). ICEB 2003 Proceedings (Singapore). 143.
https://aisel.aisnet.org/iceb2003/143