Estimating computation times in data intensive e-services

Author

Krishnaswamy, Shonali ; Zaslasvky, Arkady ; Loke, Seng Wai

Author_Institution

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

fYear

2003

fDate

10-12 Dec. 2003

Firstpage

72

Lastpage

80

Abstract

A priori estimation of quality of service (QoS) levels is a significant issue in e-services since service level agreements (SLAs) need to specify and adhere to such estimates. Response time is an important metric for data intensive e-services such as data mining, data analysis and querying/information retrieval from large databases where the focus is on the time taken to present results to clients. A key component of response time in such data intensive services is the time taken to perform the computation, namely, the time taken to perform either data mining, analysis or retrieval. In this paper, we present an approach for accurately estimating the computation times of data intensive e-services.

Keywords

Internet; data analysis; data mining; electronic commerce; information retrieval; quality of service; query processing; QoS level; computation time estimation; data analysis; data intensive e-services; data mining; data querying; database querying; goods assembly; goods delivery; information retrieval; quality of service; response time; service level agreements; Application software; Application specific processors; Customer relationship management; Data analysis; Data mining; Delay; Information retrieval; Inventory management; Quality of service; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Information Systems Engineering, 2003. WISE 2003. Proceedings of the Fourth International Conference on

Print_ISBN

0-7695-1999-7

Type

conf

DOI

10.1109/WISE.2003.1254471

Filename

1254471