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Journal ArticleDOI

VL2: a scalable and flexible data center network

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.

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Citations
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Proceedings ArticleDOI

OpenFlow supporting inter-domain virtual machine migration

TL;DR: A network infrastructure as a services (IaaS) software middleware solution based on Openflow in order to abstract the DCN architecture specifities and instantly interconnect DCNs and an experimental scenario dealing with virtual machine migration is implemented.
Journal ArticleDOI

Understanding the Performance of Low Power Raspberry Pi Cloud for Big Data

TL;DR: The results have demonstrated that the portable cloud constructed by this paper is useful for supporting real-time big data analytics and unveiled that overhead for CPU-bound workload in virtualised environment is surprisingly high, at 67.2%.
Proceedings ArticleDOI

A comparative analysis of data center network architectures

TL;DR: A comparative analysis of several well known data center network architectures using important metrics, and results on different network topologies are presented, showing the tradeoffs between these topologies and present implications on practical data center implementations.
Proceedings Article

Optimizing network performance in distributed machine learning

TL;DR: The main techniques underpinning MLNET are described and it is shown through simulation that the overall training time can be reduced by up to 78% and the critical role played by the network is indicated.
Journal ArticleDOI

Power efficient server consolidation for Cloud data center

TL;DR: This paper proposes a snapshot-based solution for server consolidation problem from Cloud infrastructure provider (CIP) perspective and proposes a MILP mathematical formulation that can find optimal/near optimal allocation of VMs in short computing times.
References
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MapReduce: simplified data processing on large clusters

TL;DR: This paper presents the implementation of MapReduce, a programming model and an associated implementation for processing and generating large data sets that runs on a large cluster of commodity machines and is highly scalable.
Journal ArticleDOI

A scalable, commodity data center network architecture

TL;DR: This paper shows how to leverage largely commodity Ethernet switches to support the full aggregate bandwidth of clusters consisting of tens of thousands of elements and argues that appropriately architected and interconnected commodity switches may deliver more performance at less cost than available from today's higher-end solutions.
Book

Principles and Practices of Interconnection Networks

TL;DR: This book offers a detailed and comprehensive presentation of the basic principles of interconnection network design, clearly illustrating them with numerous examples, chapter exercises, and case studies, allowing a designer to see all the steps of the process from abstract design to concrete implementation.
Journal ArticleDOI

The part-time parliament

TL;DR: The Paxon parliament's protocol provides a new way of implementing the state machine approach to the design of distributed systems.
Proceedings Article

The Art of Computer Systems Performance Analysis.

Raj Jain
TL;DR: The authors' goal is always to offer you an assortment of cost-free ebooks too as aid resolve your troubles.
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