A Scalable and Reliable Matching Service for Content-based Publish/Subscribe Systems

Main Article Content

Mrs.B.PRATHYUSHA
K.ASHOK KUMAR

Abstract

Security is one of the extensive and complicated requirements that need to be provided in order to achieve few issues like confidentiality, integrity and authentication. In a content-based publish/subscribe system, authentication is difficult to achieve since there exists no strong bonding between the end parties. Similarly, Integrity and confidentiality needs arise in published events and subscription conflicts with content-based routing. The basic tool to support confidentiality, integrity is encryption. In this paper, we propose SREM, a scalable and reliable event matching service for content-based pub/sub systems in cloud computing environment. To achieve low routing latency and reliable links among servers, we propose a distributed overlay SkipCloud to organize servers of SREM. Through a hybrid space partitioning technique HPartition, large-scale skewed subscriptions are mapped into multiple subspaces, which ensures high matching throughput and provides multiple candidate servers for each event. Moreover, a series of dynamics maintenance mechanisms are extensively studied.

Article Details

How to Cite
[1]
Mrs.B.PRATHYUSHA and K.ASHOK KUMAR, “A Scalable and Reliable Matching Service for Content-based Publish/Subscribe Systems”, Int. J. Comput. Eng. Res. Trends, vol. 3, no. 5, pp. 361–368, Jun. 2016.
Section
Research Articles

References

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