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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Journal ArticleDOI
Dynamic Topology Management in Optical Data Center Networks
Yangming Zhao,Sheng Wang,Shouxi Luo,Vishal Anand,Hongfang Yu,Xiong Wang,Shizhong Xu,Xiaoning Zhang +7 more
TL;DR: A progressive topology reconfiguration scheme is required to guarantee the performance of delay sensitive flows and reduce the traffic loss in high throughput low latency DCNs, and a topology management algorithm (TMA) is proposed to design and implement such a scheme.
Journal ArticleDOI
Green Networking: A Simulation of Energy Efficient Methods
TL;DR: This study will explore some modern enabling technologies such as Software Defined Networking, Edge Computing and Virtualization, and how these distinct concepts can fit together to enable more efficient green network solutions.
Proceedings ArticleDOI
An Efficient Traffic Management Solution in Data Center Networking Using SDN
Deepshikha,Mayank Dave +1 more
TL;DR: This paper proposed the collaboration of online routing method with multipath transmission control protocol (MPTCP) and segment routing (SR) in software defined network for batter results in DCN.
Proceedings ArticleDOI
Traffic-Aware and Reliability-Guaranteed Virtual Machine Placement Optimization in Cloud Datacenters
TL;DR: This paper first formulate VMP with a reliability model and a bandwidth consumption model, and analyse its complexity, and proposes a VMP optimization approach to solve the problem and prove its effectiveness and efficiency.
Proceedings ArticleDOI
VirtualRack: Bandwidth-aware virtual network allocation for multi-tenant datacenters
TL;DR: VirtualRack is presented, a new bandwidth-aware VM allocation scheme in multi-tenant datacenters that simultaneously considers intra-datacenter bandwidth and Internet-access-bandwidth requirements in the allocation process and introduces a redundancy factor α that can be specified by tenants to accommodate their dynamic requirements.
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