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 Article
ServerSwitch: A Programmable and High Performance Platform for Data Center Networks (Best Paper Award)
Guohan Lu,Chuanxiong Guo,Yulong Li,Zhiqiang Zhou,Tong Yuan,Haitao Wu,Yongqiang Xiong,Rui Gao,Yongguang Zhang +8 more
TL;DR: ServerSwitch as discussed by the authors uses a commodity switching chip for various customized packet forwarding, and leverages the server CPU for control and data plane packet processing, due to the low latency and high throughput between the switching chip and server CPU.
Posted Content
ReNets: Toward Statically Optimal Self-Adjusting Networks.
Chen Avin,Stefan Schmid +1 more
TL;DR: It is shown that ReNets are statically optimal for arbitrary sparse communication demands, i.e., perform at least as good as any fixed demand-aware network designed with a perfect knowledge of the future demand.
Journal ArticleDOI
Mobile Cloud-Based Interactive 3D Rendering and Streaming System Over Heterogeneous Wireless Networks
TL;DR: This paper presents an effective mobile cloud-based interactive 3D rendering and streaming system with data-service cost constraints over heterogeneous wireless networks that contains software-defined networking (SDN)-enabled adaptive cloud resource management module and context-aware 3D render and streaming module to enhance the quality-of-service of interactive 3d rendering and Streaming services.
Journal ArticleDOI
On the tradeoff of availability and consistency for quorum systems in data center networks
TL;DR: This work builds the availability-consistency table and proposes a set of rules to quantitatively make tradeoff between availability and consistency, and runs Monte Carlo based simulations to validate the presented quantitative results.
Journal ArticleDOI
Enhancing Performance of Cloud Computing Data Center Networks by Hybrid Switching Architecture
TL;DR: The simulation results indicate that the multi-rooted tree based hybrid architecture achieves better performance under various traffic patterns and introduces less control overhead compared with the existing traffic scheduling schemes.
References
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