A survey on architectures and energy efficiency in Data Center Networks

Hammadi, Ali; Mhamdi, Lotfi

doi:10.1016/j.comcom.2013.11.005

Cited by 191 publications

(79 citation statements)

References 61 publications

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“…The reader is referred to a plethora of review articles for a general background as regards datacenters and issues only touched upon or not mentioned here (e.g. [1,[5][6][7]34,41,51,53,59,63,64]). …”

Section: Datacenter Network Designmentioning

confidence: 99%

The influence of datacenter usage on symmetry in datacenter network design

Stewart

Erickson

2017

J Supercomput

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We undertake the first formal analysis of the role of symmetry, interpreted broadly, in the design of server-centric datacenter networks. Although symmetry has been mentioned by other researchers, we explicitly relate it to various specific, structural, graph-theoretic properties of datacenter networks. Our analysis of symmetry is motivated by the need to ascertain the usefulness of a datacenter network as regards the support of network virtualization and prevalent communication patterns in multitenanted clouds. We argue that a number of structural concepts relating to symmetry from general interconnection networks, such as recursive-definability, the existence and dynamic construction of spanning trees, pancyclicity, and variations in Hamiltonicity, are appropriate topological metrics to use in this regard. In relation to symmetry, we highlight the relevance of algebraic properties and algebraic constructions within datacenter network design. Built upon our analysis of symmetry, we outline the first technique to embed guest datacenter networks in a host datacenter network that is specifically oriented towards server-centric datacenter networks. In short, we provide the graph-theoretic foundations for the design of server-centric datacenter networks so as to support network virtualization and communication patterns in cloud computing.

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Section: Datacenter Network Designmentioning

confidence: 99%

The influence of datacenter usage on symmetry in datacenter network design

Stewart

Erickson

2017

J Supercomput

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“…The classic design of data center architectures interconnects servers and switches in two-or three-tier structures, being the three-tier structures the most widely adopted [10]. Three-tier topologies consist of three layers.…”

Section: Background and Motivationmentioning

confidence: 99%

“…Several data center networks, also called architectures or topologies in the remainder of the paper, have been proposed in order to overcome costs, scalability, agility and reliability issues and to accommodate growing traffic demands [10]. Architectures can be either switch-centric or server-centric.…”

Section: Introductionmentioning

confidence: 99%

Power comparison of cloud data center architectures

Ruiu

Bianco

Fiandrino

et al. 2016

2016 IEEE International Conference on Communications (ICC)

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Abstract-Power consumption is a primary concern for cloud computing data centers. Being the network one of the nonnegligible contributors to energy consumption in data centers, several architectures have been designed with the goal of improving network performance and energy-efficiency. In this paper, we provide a comparison study of data center architectures, covering both classical two-and three-tier design and state-of-art ones as Jupiter, recently disclosed by Google. Specifically, we analyze the combined effect on the overall system performance of different power consumption profiles for the IT equipment and of different resource allocation policies. Our experiments, performed in small and large scale scenarios, unveil the ability of network-aware allocation policies in loading the the data center in a energyproportional manner and the robustness of classical two-and three-tier design under network-oblivious allocation strategies.

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“…The explosion of cloud computing systems deployment has lead to a number of studies that identifies the main performance challenges and that proposed different systems architectures [9,10]. Some of the key aspects related to this paper are the possibility of using geodistributed data centres and the associated challenges [11] and the introductions of mobile cloud computing [12] and fog computing principles [13].…”

Section: Introductionmentioning

confidence: 99%

Introducing Mobile Edge Computing Capabilities through Distributed 5G Cloud Enabled Small Cells

et al. 2016

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Abstract:Current trends in broadband mobile networks are addressed towards the placement of different capabilities at the edge of the mobile network in a centralised way. On one hand, the split of the eNB between baseband processing units and remote radio headers makes it possible to process some of the protocols in centralised premises, likely with virtualised resources. On the other hand, mobile edge computing makes use of processing and storage capabilities close to the air interface in order to deploy optimised services with minimum delay. The confluence of both trends is a hot topic in the definition of future 5G networks. The full centralisation of both technologies in cloud data centres imposes stringent requirements to the fronthaul connections in terms of throughput and latency. Therefore, all those cells with limited network access would not be able to offer these types of services. This paper proposes a solution for these cases, based on the placement of processing and storage capabilities close to the remote units, which is especially well suited for the deployment of clusters of small cells. The proposed cloudenabled small cells include a highly efficient microserver with a limited set of virtualised resources offered to the cluster of small cells. As a result, a light data centre is created and commonly used for deploying centralised eNB and mobile edge computing functionalities. The paper covers the proposed architecture, with special focus on the integration of both aspects, and possible scenarios of application.

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A survey on architectures and energy efficiency in Data Center Networks

Cited by 191 publications

References 61 publications

The influence of datacenter usage on symmetry in datacenter network design

The influence of datacenter usage on symmetry in datacenter network design

Power comparison of cloud data center architectures

Introducing Mobile Edge Computing Capabilities through Distributed 5G Cloud Enabled Small Cells

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