A performance study of network migration to SDN-enabled Traffic Engineering

Caria, Marcel; Jukan, Admela; Hoffmann, Marco

doi:10.1109/glocom.2013.6831268

Cited by 53 publications

(32 citation statements)

References 6 publications

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“…The SDN migration problem we met first was that the model recommended by Google is not appropriate for R&E network. As we mentioned above, users in R&E network can be a service provider at any time.…”

Section: Sdn‐based All‐in‐one Solving For Bottlenecks and Incrementalmentioning

confidence: 99%

Study on the SDN‐IP–based solution of well‐known bottleneck problems in private sector of national R&E network for big data transfer

Park

Cho

Hwang

et al. 2017

Concurrency and Computation

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SummaryLast-mile bottleneck, fire-wall bottleneck, and internal network congestion bottleneck are well-known performance bottleneck problems of private sector in national R&E network since Internet is adopted for R&E network. The emergency of big data science makes these problems more severe because a famous scientist under such a circumstance is severely restricted in his/her big data R&D. Therefore, government cannot leave these stubs in the realm of a private organization any longer. We, KREONET (Korea Research Environment Open Network), tried to solve these problems by SDN-IP (software-defined network-Internet protocol) based on ONOS (Open Network Operation System); SDN-IP is the leading technology for the softwarization of network, and it is developed by On Lab. KREONET began to deploy SDN-IP as a tool for the softwarization of Korea R&E network even though others studied to business its' feature for the enhancement of resource management of data center first. The initial goal during the construction of SDN-IP for KREONET is to solve well-known problems in R&E network, which are related with last-mile, fire-wall, and internal network congestion. These 3 problems are not solved for a long time because it costs too much when we try to solve them by the way of the existed hardware networking. In this paper, we introduce our experience that can catch two rabbits at the same time. These experiences are about the provision of the initial popular service of SDN-IP with the solution of those well-known bottleneck problems and about the economic way of SDN-IP construction by incremental hybrid networking of legacy Internet and SDN-IP. KEYWORDSphysical network separation, R&E network, software-defined network, SD WAN, SDN-IP INTRODUCTIONRecently, software-defined networking (SDN) 1 has emerged as a new paradigm for R&E network innovation. SDN is changing how to design, build, and operate R&E networks to achieve high availability from a scientist point of view. With the aid of SDN, R&E networks can be more open to scientists and easily controlled by user than before. SDN-based R&E network can be transformed into an open and programmable component of the larger science cloud infrastructure. SDN can give network users and operators more control of their infrastructure, more allowance of customization and optimization, and more reduction of the overall operational costs. Figure 1 illustrates SDN architecture that decouples the network control and forwarding functions and that enables the network control to become directly programmable. Figure 1 depicts the underlying infrastructure to be abstracted for applications and network services. The OpenFlow 2,3 protocol in Figure 1 is a foundational element for building SDN networks.OpenFlow is a communication protocol that gives access to the forwarding plane of a network switch or router over the network. 2 OpenFlow

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Section: Sdn‐based All‐in‐one Solving For Bottlenecks and Incrementalmentioning

confidence: 99%

Study on the SDN‐IP–based solution of well‐known bottleneck problems in private sector of national R&E network for big data transfer

Park

Cho

Hwang

et al. 2017

Concurrency and Computation

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“…In [21], we examined migration to energy-efficient routers. In [22], we defined the SDN migration scheduling problem and extended it in [23] to effectively partition legacy networks using SDN. Unlike most of our previous studies, in this paper, (a) in addition to technological aspects of SDN migration, we also consider its cost constraints, and, (b) in addition to optimization schemes, we also propose novel computationally-inexpensive, near-optimal greedy algorithms for SDN migration and compare their optimality, computational complexities, run times and network capacity gains with optimization schemes.…”

Section: Related Workmentioning

confidence: 99%

“…We consider a multi-period time horizon, where few routers migrate in each period (or timestep). We consider two scenarios: (a) an ISP con-Algorithm 1 Key-node computation for a path Input: Path p Output: K p ← Set of key-nodes of path p K p ← φ A ← Set of paths between source and destination of p with cost lesser than that of p for all a ∈ A do We first summarize the migration scheduling framework from our previous work [22], and then showcase our contributions.…”

Section: Optimizations and Greedy Algorithmsmentioning

confidence: 99%

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Insights on SDN migration trajectory

Das

Caria

Jukan

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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As the Software Defined Networking (SDN) paradigm gains momentum, network operators wonder about how to go about replacing their legacy IP routers with SDN-compliant ones. While forklift network upgrades are impractical in operational networks, the promise of SDN is too compelling. Thus, a viable solution is to gradually migrate over time, leading to hybrid OSPF/SDN networks. Although recent studies proposed device architectures, protocols and algorithms required in such hybrid networks, a single routing domain's SDN migration trajectoryas a whole -has hardly been studied. Significance of the sequence in which IP routers are replaced with SDN routers and optimal sequence of router replacements need to be investigated. In this paper, we address these questions based on SDN's traffic engineering (TE) gains and an operator's SDN investment constraints. We propose optimization techniques and heuristics to plan an effective migration schedule in a single routing domain and demonstrate the significance of such a schedule using relevant network management metrics. Our results suggest: (a) the sequence of IP routers migrating to SDN largely determine the resulting TE gains, and, (b) to determine the best migration sequence, novel greedy algorithms perform almost as good as optimization techniques.

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“…The length of the planning horizon, i.e., the question in how many years (and partitioned in how many time periods) should the network be fully migrated, is an important question for an ISP, which was extensively studied in [8]. In our past work on migration in [9], we studied multi-period migration planning for Software Defined Networking (SDN), where we showed that finding strategic locations for SDNenabled routers for the early migration stages can significantly increase the number of alternative paths. Furthermore, the work [10] demonstrated an agent based modeling approach from the techno-economical perspective with consideration of multiple technologies.…”

Section: Introductionmentioning

confidence: 99%

Migration to energy efficient routers: Where to start?

Caria

Carpio

Jukan

et al. 2014

2014 IEEE International Conference on Communications (ICC)

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Given the assumption that network equipment vendors will soon deploy new energy saving mechanisms in their routers, the question we are aiming to answer is this: Where in the network to start the migration to energy efficient routers, and how large is the impact of the migration scheduling on the total energy saving? To this end, the paper studies a scenario where network nodes can reduce the power consumption proportional to the router traffic load, and elaborates on the impact of the migration node sequence that determines at which point in time which node migrates. While every router can gradually increase and decrease the consumption based on load, at the same time, the network as a whole is subject to a gradual migration on its own, where energy efficient network routers are installed over multiple planning periods. Our results show that an increase of saved energy up to 12 percentage points is possible only by changing the migration sequence of energy efficient routers. Additionally, we show that deploying mechanisms of Traffic Engineering can further significantly improve the overall energy savings especially during the early stages of migration.

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A performance study of network migration to SDN-enabled Traffic Engineering

Cited by 53 publications

References 6 publications

Study on the SDN‐IP–based solution of well‐known bottleneck problems in private sector of national R&E network for big data transfer

Study on the SDN‐IP–based solution of well‐known bottleneck problems in private sector of national R&E network for big data transfer

Insights on SDN migration trajectory

Migration to energy efficient routers: Where to start?

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