期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2013
卷号：2
期号：4
页码：1127
出版社：S&S Publications
摘要：Most of the applications in some special domains such as Telecommunication systems, Share market, Fraud detectionand network security which required online processing of incoming data. They produce very high incoming load which needs toprocess by multiple nodes. The current system is on single node bottleneck and with the static configuration and hence it is not ableto scale with the input load. So in this paper we present stream cloud a high flexible data stream processing engine for processingbulky data stream. This is particularly suitable for applications in online transactions, monitoring financial data processing and frauddetection systems that require timely processing of continuous data. Stream cloud using novel parallelization technique which splitsone query into sub queries which are independently allocates to individual nodes for execution. It is having some elastic protocolswhich is used to dynamic resource management and load balancing of incoming load.
