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Hadoop Performance Evaluation in Software Deļ¬?ned Data Center Networks


Scalable and Secure Big Data I

Class Agnostic Image Common Ob

3D Reconstruction in Canonical
Abstract


The wide spread of Big Data applications and services raised the need of implementing dedicated frameworks for the efļ¬?cient management of data storage and access. Complex datacenterarchitectureshavebeendeļ¬?nedtosupportsuchapplications, where the network connections are often the bottleneck for data access and retrieval. In this paper we analyze a data centerarchitecturebasedonaFat-TreetopologyrunningHadoop as the framework for data management. The network is based on the software deļ¬?ned networking paradigm allowing the routing protocol to be switched between the spanning tree, the shortest path bridging andthe equal cost multipath. Theresults show that performance of Hadoop are strongly inļ¬?uenced by the choice of the network protocols in dependence of the trafļ¬?c load. The performance evaluation is based on a dedicated novel simulation framework named MaxHadoop.

KeyWords
MaxHadoop,hadoop



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