Title :
Web Services System Optimization Based on Modular Classification and Multi-Threading
Author :
Guo Li ; Jin Zhang ; Ang Peng ; Rulong Wang
Author_Institution :
Coll. of Software, Hunan Univ., Changsha, China
Abstract :
Web Services is an effective way to realize service-oriented architecture. In order to enhance user experience, it is one of the key problems to respond client requests quickly when lots of data is required from the server. Based on modular classification and multi-threading transfer principle, a new method transmitting large data is proposed in this paper after network transmission feature is analyzed. In the paper, how to classify modulus according to the data characteristics and retrieve data through multi-threading respectively in batches are shown in details. The experimental results show that the proposed method based on modular classification and multi-threading transmission can respond client requests quickly when large amounts of data need to be transmitted.
Keywords :
Web services; data communication; multi-threading; optimisation; software architecture; Web services; data transmission; modular classification; multi-threading transfer principle; optimization; service oriented architecture; Classification algorithms; Databases; Instruction sets; Service oriented architecture; Time factors;
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
DOI :
10.1109/ICMSS.2010.5575687