Journal ArticleDOI
VL2: a scalable and flexible data center network
Albert Greenberg,James R. Hamilton,Navendu Jain,Srikanth Kandula,Changhoon Kim,Parantap Lahiri,David A. Maltz,Parveen Patel,Sudipta Sengupta +8 more
TLDR
VL2 is a practical network architecture that scales to support huge data centers with uniform high capacity between servers, performance isolation between services, and Ethernet layer-2 semantics and can be deployed today, and a working prototype is built.Abstract:
To be agile and cost effective, data centers must allow dynamic resource allocation across large server pools. In particular, the data center network should provide a simple flat abstraction: it should be able to take any set of servers anywhere in the data center and give them the illusion that they are plugged into a physically separate, noninterfering Ethernet switch with as many ports as the service needs. To meet this goal, we present VL2, a practical network architecture that scales to support huge data centers with uniform high capacity between servers, performance isolation between services, and Ethernet layer-2 semantics. VL2 uses (1) flat addressing to allow service instances to be placed anywhere in the network, (2) Valiant Load Balancing to spread traffic uniformly across network paths, and (3) end system--based address resolution to scale to large server pools without introducing complexity to the network control plane. VL2's design is driven by detailed measurements of traffic and fault data from a large operational cloud service provider. VL2's implementation leverages proven network technologies, already available at low cost in high-speed hardware implementations, to build a scalable and reliable network architecture. As a result, VL2 networks can be deployed today, and we have built a working prototype. We evaluate the merits of the VL2 design using measurement, analysis, and experiments. Our VL2 prototype shuffles 2.7 TB of data among 75 servers in 395 s---sustaining a rate that is 94% of the maximum possible.read more
Citations
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Proceedings ArticleDOI
Unfolding the Mutual Relation Between Timeliness and Scalability in Cloud Monitoring
Guilherme da Cunha Rodrigues,Rodrigo N. Calheiros,Glederson Lessa dos Santos,Vinicius Tavares Guimaraes,Lisandro Zambenedetti Granville,Liane Margarida Rockenbach Tarouco,Rajkumar Buyya +6 more
TL;DR: A mathematical model to predict the mutual influence between timeliness and scalability is presented, which is a step forward in cloud monitoring because it paves the way for the development of complete monitoring solutions.
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Survei mekanisme congestion kontrol pada transmission control protocol di software defined network
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Book ChapterDOI
Performance Evaluation of Routing Schemes in Data Center Clos Networks
TL;DR: This paper strives to evaluate the performance of both randomized routing and its alternatives, and provides designers with useful insight and a range of options for configuring the routing scheme.
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Mice flow aggregation approach for Green networking
Qin-Liang Lin,Shun-Zheng Yu +1 more
TL;DR: The proposed energy-efficient flow scheduling approach (EFSA) aggregates mice flow into a minimal set of links, and the largest flows that result in an overload of links in the set are rerouted in time.
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