Principles and Practices of Interconnection Networks
Principles and Practices of Interconnection Networks
Towards a next generation data center architecture: scalability and commoditization
Proceedings of the ACM workshop on Programmable routers for extensible services of tomorrow
A scalable, commodity data center network architecture
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Dcell: a scalable and fault-tolerant network structure for data centers
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
PortLand: a scalable fault-tolerant layer 2 data center network fabric
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
VL2: a scalable and flexible data center network
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
BCube: a high performance, server-centric network architecture for modular data centers
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
MDCube: a high performance network structure for modular data center interconnection
Proceedings of the 5th international conference on Emerging networking experiments and technologies
Net-cohort: detecting and managing VM ensembles in virtualized data centers
Proceedings of the 9th international conference on Autonomic computing
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In recent years, data center network (DCN) architectures (e.g., DCell [11], FiConn [14], BCube [10], FatTree [1], and VL2 [8]) received a surge of interest from both the industry and academia. However, evaluation of these newly proposed DCN architectures is limited to MapReduce or scientific computing type of traffic patterns, and none of them provides an in-depth understanding of their performance in conventional transaction systems under realistic workloads. Moreover, it is also unclear how these architectures are affected in virtualized environments. In this paper, we fill this void by conducting an experimental evaluation of FiConn and FatTree, each respectively as a representative of hierarchical and flat architectures, in a clustered three-tier transaction system using a virtualized deployment. We evaluate these two architectures from the perspective of application performance and explicitly consider the impact of server virtualization. Our experiments are conducted in two major testing scenarios, service fragmentation and failure resilience, from which we observe several fundamental characteristics that are embedded in both classes of network topologies and cast a new light on the implication of virtualization in DCN architectures. Issues observed in this paper are generic and should be properly considered in any DCN design before the actual deployment, especially in mission-critical real-time transaction systems.