3 research outputs found
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Improving the network transmission cost of differentiated web services
This paper investigates into the transmission cost of web services related messages which is affected by network
latency. Web services enable seamless interaction and integration of e-business applications. Web services contain a
collection of operations so as to interact with outside world over the Internet through XML messaging. Though XML
effectively describe message related information and is fairly human readable, it badly affects the performance of Web
services in terms of transmission cost, processing cost, and so on. This paper aims to minimize network latency of message
communication of Web services by employing pre-emptive resume scheduling. Fundamental principle of this approach is the
provision of preferential treatment to some messages as compared to others. This approach assigns different priorities to
distinct classes of messages given the fact that some messages may tolerate longer delays than others. For instance, shorter
messages may be given higher priority than longer messages, or the Web service provider may give higher priority to the
messages of paying subscribers
Priority scheduling service for E-commerce web servers
Service scheduling is one of the crucial issues in E-commerce environment. E-commerce web servers often get overloaded as they have to deal with a large number of customers’ requests—for example, browse, search, and pay, in order to make purchases or to get product information from E-commerce web sites. In this paper, we propose a new approach in order to effectively handle high traffic load and to improve web server’s performance. Our solution is to exploit networking techniques and to classify customers’ requests into different classes such that some requests are prioritised over others. We contend that such classification is financially beneficial to E-commerce services as in these services some requests are more valuable than others. For instance, the processing of “browse” request should get less priority than “payment” request as the latter is considered to be more valuable to the service provider. Our approach analyses the arrival process of distinct requests and employs a priority scheduling service at the network nodes that gives preferential treatment to high priority requests. The proposed approach is tested through various experiments which show significant decrease in the response time of high priority requests. This also reduces the probability of dropping high priority requests by a web server and thus enabling service providers to generate more revenue