VISIRI - Distributed Complex Event Processing System for Handling Large Number of Queries

Kumarasinghe, Malinda; Tharanga, Geeth; Weerasinghe, Lasitha; Wickramarathna, Ujitha; Ranathunga, Surangika

doi:10.1007/978-3-319-19282-6_15

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…The first is SCTXPF [8] that balances the number of rules on CEP nodes. The second is VISIRI [9] that uses a rule cost estimation to distribute rules among CEP nodes according to the estimated costs.…”

Section: Discussionmentioning

confidence: 99%

“…In this category of horizontal scaling of CEP, users can use popular CEP engines and their familiar rule syntaxes. Some of the previously proposed techniques for CEP clustering such as those reported in [8], [9], [18], [19] only balance the load of the system statically via distributing the rules among the compute nodes. Therefore they do not handle changes in the system workload pattern during the lifetime of the system.…”

Section: Related Workmentioning

confidence: 99%

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Scalable Complex Event Processing Using Rule Distribution

Sharifi

Fardbastani

2018

AzJHPC

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Complex event processing (CEP) systems are currently widely used in large-scale enterprises for the processing of high and dynamically changing rates of input events using large number of complex rules. Given the hardware limitations of vertically scaled CEP solutions, horizontal scalability has become an essential requirement for modern CEP systems. In this paper, we propose an adaptive load-balancing technique via rule distribution (called ARD) for a cluster of CEP engines that provides horizontal scalability for CEP systems. Our experiments show our proposed technique provides higher scalability and yields higher throughput in comparison with two previously proposed non-adaptive load-balancing techniques, namely VISIRI and SCTXPF, when the system faces with variable workload. In addition, ARD keeps the system balanced more often.

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Section: Discussionmentioning

confidence: 99%