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Joint network and system performance for cloud computing

Abstract : Cloud computing enables a flexible access to computation and storage services. This requires, for the cloud service provider, mastering network and system issues. During this PhD thesis, we focused on the performance of TCP Cubic, which is the default version of TCP in Linux and thus widely used in today's data centers. Cloud environments feature low bandwidth-delay products (BPD) in the case of intra data center communications and high BDP in the case of inter data center communications. We have developed analytical models to study the performance of a Cubic connection in isolation or a set of competing Cubic connections. Our models turn out to be precise in the low BDP case but fail at capturing the synchronization of losses that ns-2 simulations reveal in the high BDP case. We have complemented our simulations studies with tests in real environments: (i) an experimental network at I3S and (ii) a cloud solution available internally at Orange: Cube. Studies performed in Cube have highlighted the high correlation that might exist between network and system performance and the complexity to analyze the performance of applications in a cloud context. Studies in the controlled environment of I3S have confirmed the existence of synchronization and enabled us to identify its condition of appearance. We further investigated two types of solution to combat synchronization: client level solutions that entail modifications of TCP and network level solutions based on queue management solutions, in particular PIE and Codel.
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Sonia Belhareth. Joint network and system performance for cloud computing. Other [cs.OH]. Université Nice Sophia Antipolis, 2014. English. ⟨NNT : 2014NICE4146⟩. ⟨tel-01142164⟩

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