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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

Network traffic characteristics of data centers in the wild

TL;DR: An empirical study of the network traffic in 10 data centers belonging to three different categories, including university, enterprise campus, and cloud data centers, which includes not only data centers employed by large online service providers offering Internet-facing applications but also data centers used to host data-intensive (MapReduce style) applications.
Proceedings ArticleDOI

Joint VM placement and routing for data center traffic engineering

TL;DR: This work proposes an efficient online algorithm that employs the real data center traffic traces under a spectrum of elephant and mice flows and demonstrates a consistent and significant improvement over the benchmark achieved by common heuristics.
Proceedings Article

OSA: an optical switching architecture for data center networks with unprecedented flexibility

TL;DR: In this paper, the authors describe the design, implementation and evaluation of OSA, a novel optical switching architecture for DCNs, which dynamically changes its topology and link capacities, thereby achieving unprecedented flexibility to adapt to dynamic traffic patterns.
Journal ArticleDOI

A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues

TL;DR: The state-of-the-art of the analytics network methodologies, which are suitable for real-time IoT analytics are reviewed, and a number of prospective research problems and future research directions are presented focusing on thenetwork methodologies for the real- time IoT analytics.
References
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Book

The art of computer systems performance analysis

Raj Jain
TL;DR: The art of computer systems performance analysis by is one of the most effective vendor publications worldwide as discussed by the authors. But have you had it? Not at all? Ridiculous of you.
Proceedings ArticleDOI

VL2: a scalable and flexible data center network

TL;DR: 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 is built on a working prototype.
Proceedings ArticleDOI

BCube: a high performance, server-centric network architecture for modular data centers

TL;DR: Experiments in the testbed demonstrate that BCube is fault tolerant and load balancing and it significantly accelerates representative bandwidth-intensive applications.
Journal ArticleDOI

Dcell: a scalable and fault-tolerant network structure for data centers

TL;DR: Results from theoretical analysis, simulations, and experiments show that DCell is a viable interconnection structure for data centers and can be incrementally expanded and a partial DCell provides the same appealing features.
Proceedings ArticleDOI

The nature of data center traffic: measurements & analysis

TL;DR: In this article, the authors explore the nature of traffic in data centers, designed to support the mining of massive data sets, and instrument the servers to collect socket-level logs, with negligible performance impact.
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