Abstract
Today’s entreprise-level applications are often built as an assembly of distributed components that provide the basic services required by the application logic. As the scale of these applications increases, coarse-grained components will need be decoupled and will use message-based communication, often helped by Message-Oriented Middleware or MOMs.
In the Java world, a standardized interface exists for MOMs: Java Messaging Service or JMS. And like other middleware, some JMS implementations use clustering techniques to provide some level of performance and fault-tolerance. One such implementation is JORAM, which is open-source and hosted by the ObjectWeb consortium.
In this paper, we describe performance modeling of various clustering configurations and validate our model with performance evaluation in a real-life cluster. In doing that, we observed that the resource-efficiency of the clustering methods can be very poor due to local instabilities and/or global load variations.
To solve these issues, we provide insight into how to build autonomic capabilities on top of the JORAM middleware. Specifically, we describe a methodology to (i) dynamically adapt the load distribution among the servers (load-balancing aspect) and (ii) dynamically adapt the replication level (provisioning aspect).
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© 2007 Springer-Verlag Berlin Heidelberg
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Taton, C., De Palma, N., Hagimont, D., Bouchenak, S., Philippe, J. (2007). Self-optimization of Clustered Message-Oriented Middleware. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2007: CoopIS, DOA, ODBASE, GADA, and IS. OTM 2007. Lecture Notes in Computer Science, vol 4803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76848-7_38
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DOI: https://doi.org/10.1007/978-3-540-76848-7_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76846-3
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