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Adaptive Middleware for Message Queuing Systems

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Recommended Reading

  1. Aron M, Druschel P, Zwaenepoel W. Cluster reserves: a mechanism for resource management in cluster-based network servers. In: Proceedings of the 2000 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems; 2000. p. 90–101.

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  2. Menth M, Henjes R. Analysis of the message waiting time for the fioranoMQ JMS server. In: Proceedings of the 23rd International Conference on Distributed Computing Systems; 2006. p. 1.

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  3. Shen K, Tang H, Yang T, Chu L. Integrated resource management for cluster-based internet services. In: Proceedings of the 5th USENIX Symposium on Operating System Design and Implementation; 2002.

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  4. Urgaonkar B, Shenoy P. Sharc: managing CPU and network bandwidth in shared clusters. IEEE Trans Parall Distrib Syst. 2004;15(1):2–17.

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  5. Zhu H, Ti H, Yang Y. Demand-driven service differentiation in cluster-based network servers. In: Proceedings of the 20th Annual Joint Conference of the IEEE Computer and Communications Societies; 2001. p. 679–88.

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Correspondence to Christophe Taton .

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Taton, C., de Palma, N., Bouchenak, S. (2018). Adaptive Middleware for Message Queuing Systems. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_1540

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