Study on the Sustainable Migration to Software Defined Network for Nation-Wide R&amp;E Network

Park, Hyoung Woo; Hwang, Il Sun; Lee, Jongsuk Ruth

doi:10.1109/imis.2016.117

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…The user demand only can make the long journey for the migration to be extended to the end. For the successful migration to SDN‐IP, we are going to keep going on these tests further with international and inter‐domain research partners while creation of various killer application of initial stage during incremental hybrid SDN migration for KREONET. In summary, our approaches are focused on solution of last‐mile problem as a development of best use case of initial SDN‐IP implementation as well as an initial deployment of SDN‐IP.…”

Section: Resultsmentioning

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: Resultsmentioning

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

Self Cite

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“…Migration to SDN for data center networks is popularly endorsed 7,63,64 . Similarly, practices 8,50,64–69 of ISP/Telco and data center networks migration to SDN and IPv6 encourage service providers to migrate their legacy networks in a phase‐wise manner. For smooth and cost effective transitioning, the L2H approach is more suitable for service providers 15,70 .…”

Section: Literature Reviewmentioning

confidence: 99%

Migration cost optimization for service provider legacy network migration to software‐defined IPv6 network

et al. 2020

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Summary This paper studies a problem for seamless migration of legacy networks of Internet service providers to a software‐defined networking (SDN)‐based architecture along with the transition to the full adoption of the Internet protocol version 6 (IPv6) connectivity. Migration of currently running legacy IPv4 networks into such new approaches requires either upgrades or replacement of existing networking devices and technologies that are actively operating. The joint migration to SDN and IPv6 network is considered to be vital in terms of migration cost optimization, skilled human resource management, and other critical factors. In this work, we first present the approaches of SDN and IPv6 migration in service providers' networks. Then, we present the common concerns of IPv6 and SDN migration with joint transition strategies so that the cost associated with joint migration is minimized to lower than that of the individual migration. For the incremental adoption of software‐defined IPv6 (SoDIP6) network with optimum migration cost, a greedy algorithm is proposed based on optimal path and the customer priority. Simulation and empirical analysis show that a unified transition planning to SoDIP6 network results in lower migration cost.

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Study on the Sustainable Migration to Software Defined Network for Nation-Wide R&E Network

Cited by 2 publications

References 9 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

Migration cost optimization for service provider legacy network migration to software‐defined IPv6 network

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