Abstract
Computer clustering has emerged as the paradigm of choice in distributed systems and cloud computing. Multicast based approaches are dominant in the computer clustering domain and many clustering systems are built on top of IP multicast based message passing systems. However, most cloud based systems not provide proper support for multicasting because of the dynamic nature of IP’s, which complicates the configuration and maintenance of such an approach on the cloud.This paper presents an event driven approach for computer clustering, that can effectively handle dynamic IP’s and other issues present in computer clustering and cloud environments. We discuss a clustering implementation based on this event driven approach for an Apache Axis2 cloud deployment. We then compare this event driven clustering implementation with an existing multicast based clustering implementation for a cloud deployed Apache Axis2. The comparisons reveal significantly higher performance in the event driven approach, in addition to solving some of the challenges present in cloud environments.
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Wickramasinghe, P.S., Madusanka, L.D.A., Tissera, H.P.M., Weerasinghe, D.C.S., Weerawarana, S.M., Azeez, A. (2014). An Event Driven Model for Highly Scalable Clustering for Both on Premise and Cloud Based Systems. In: Hsu, R.CH., Wang, S. (eds) Internet of Vehicles – Technologies and Services. IOV 2014. Lecture Notes in Computer Science, vol 8662. Springer, Cham. https://doi.org/10.1007/978-3-319-11167-4_32
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DOI: https://doi.org/10.1007/978-3-319-11167-4_32
Publisher Name: Springer, Cham
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