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Research Article Open Access
Most of the applications in some special domains such as Telecommunication systems, Share market, Fraud detection and network security which required online processing of incoming data. They produce very high incoming load which needs to process by multiple nodes. The current system is on single node bottleneck and with the static configuration and hence it is not able to scale with the input load. So in this paper we present stream cloud a high flexible data stream processing engine for processing bulky data stream. This is particularly suitable for applications in online transactions, monitoring financial data processing and fraud detection systems that require timely processing of continuous data. Stream cloud using novel parallelization technique which splits one query into sub queries which are independently allocates to individual nodes for execution. It is having some elastic protocols which is used to dynamic resource management and load balancing of incoming load.