Design and evaluation of a wide-area event notification service
ACM Transactions on Computer Systems (TOCS)
A stratified approach for supporting high throughput event processing applications
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
StreamCloud: A Large Scale Data Streaming System
ICDCS '10 Proceedings of the 2010 IEEE 30th International Conference on Distributed Computing Systems
S4: Distributed Stream Computing Platform
ICDMW '10 Proceedings of the 2010 IEEE International Conference on Data Mining Workshops
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This paper describes a scalable context delivery platform (SCTXPF) and our evaluations of it. The SCTXPF receives a large number of events from various event sources and a large number of complex event processing (CEP) rules from various services/applications. The SCTXPF achieves load distribution of CEP operations by parallelizing event processors (EPs) and allocating CEP rules to each EP. The SCTXPF should allocate CEP rules efficiently to be able to operate with a high level of performance and be scalable. The rule allocation algorithm allocates the CEP rules to EPs so that the state of event processing is efficiently managed. The SCTXPF achieves high throughput and scalable CEP with the EPs operating independently of one another. We evaluated the efficiency of the rule allocation algorithm in terms of scalability and performance. The results revealed that the proposed system is scalable and the performance reached 2,700,000 events/sec and the proposed algorithm improves its scalability.