Title :
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
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;
Conference_Titel :
Web Information Systems Engineering, 2003. WISE 2003. Proceedings of the Fourth International Conference on
Print_ISBN :
0-7695-1999-7
DOI :
10.1109/WISE.2003.1254471
