Bursting Data between Data Centers: Case for Transport SDN

Sadasivarao, Abhinava; Syed, Sharfuddin; Pan, Ping; Liou, Chris; Monga, Inder; Guok, Chin; Lake, Andrew

doi:10.1109/hoti.2013.20

Cited by 23 publications

(11 citation statements)

References 1 publication

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“…By taking advantage of the logically centralized control of network resources [564], [8] it is possible to simplify and optimize network management of data centers and achieve: (i) efficient intra-datacenter networking, including fast recovery mechanisms for the data and control planes [476], [565], [566], adaptive traffic engineering with minimal modifications to DCs networks [277], simplified fault-tolerant routing [567], performance isolation [568], and easy and efficient resource migration (e.g., of VMs and virtual networks) [476]; (ii) improved inter-datacenter communication, including the ability to fully utilize the expensive high-bandwidth links without impairing quality of service [8], [569]; (iii) higher levels of reliability (with novel fault management mechanisms, etc.) [567], [565], [476], [484]; and (iv) cost reduction by replacing complex, expensive hardware by simple and cheaper forwarding devices [570], [8].…”

Section: H Meeting Carrier-grade and Cloud Requirementsmentioning

confidence: 99%

Software-Defined Networking: A Comprehensive Survey

et al. 2015

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Abstract-The Internet has led to the creation of a digital society, where (almost) everything is connected and is accessible from anywhere. However, despite their widespread adoption, traditional IP networks are complex and very hard to manage. It is both difficult to configure the network according to predefined policies, and to reconfigure it to respond to faults, load and changes. To make matters even more difficult, current networks are also vertically integrated: the control and data planes are bundled together. Software-Defined Networking (SDN) is an emerging paradigm that promises to change this state of affairs, by breaking vertical integration, separating the network's control logic from the underlying routers and switches, promoting (logical) centralization of network control, and introducing the ability to program the network. The separation of concerns introduced between the definition of network policies, their implementation in switching hardware, and the forwarding of traffic, is key to the desired flexibility: by breaking the network control problem into tractable pieces, SDN makes it easier to create and introduce new abstractions in networking, simplifying network management and facilitating network evolution.In this paper we present a comprehensive survey on SDN. We start by introducing the motivation for SDN, explain its main concepts and how it differs from traditional networking, its roots, and the standardization activities regarding this novel paradigm. Next, we present the key building blocks of an SDN infrastructure using a bottom-up, layered approach. We provide an in-depth analysis of the hardware infrastructure, southbound and northbound APIs, network virtualization layers, network operating systems (SDN controllers), network programming languages, and network applications. We also look at cross-layer problems such as debugging and troubleshooting. In an effort to anticipate the future evolution of this new paradigm, we discuss the main ongoing research efforts and challenges of SDN. In particular, we address the design of switches and control platforms -with a focus on aspects such as resiliency, scalability, performance, security and dependability -as well as new opportunities for carrier transport networks and cloud providers. Last but not least, we analyze the position of SDN as a key enabler of a software-defined environment.

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Section: H Meeting Carrier-grade and Cloud Requirementsmentioning

confidence: 99%

Software-Defined Networking: A Comprehensive Survey

et al. 2015

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“…Therefore, we can linearize nonlinear constraints (5), (6), (7), and (8) with this linearization technique.…”

Section: B Load Distribution Constraintmentioning

confidence: 99%

“…They evaluated the performance of SDN data center and could observe improvement in allocation efficiency of application and network resources. Abhinava Sadasivarao et al suggest an SDN enabled optical transport architecture between data centers [7]. Since data centers are spread over long distance and are required to communicate with each other with growth of Cloud Computing, they present a strategy that optimizes transport application between data center with SDN technology.…”

Section: Introductionmentioning

confidence: 99%

Power Minimization in Fat-Tree SDN Datacenter Operation

Yoon

Kamal

2015

2015 IEEE Global Communications Conference (GLOBECOM)

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The problem of energy consumption in data centers has attracted many researchers interest recently. This paper proposes an optimal energy consumption Software Defined Network (SDN) data center model using the dynamic activation of hosts and switches. We model switches and hosts as queues and formulate a Mixed Integer Linear Programming (MILP) model to minimize energy consumption while guaranteeing Quality of Service (QoS) of data center. Our purpose is minimizing static power, port power, and memory power of data centers. Since the problem is NP-hard, we adopt Simulated Annealing algorithm to obtain the solution. Through numerical experiment, we could observe that our model is able to save reasonable energy compared to the full operation data center model.

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“…Recently, the scope has been extended towards physical transport layers [2]. Transport technologies provide extensive flexibility and agility through OTN switching or colorless and directionless optical switching and can best be utilized through automated control.…”

Section: Introductionmentioning

confidence: 99%