• Title/Summary/Keyword: Hybrid SDN

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Traffic Engineering and Manageability for Multicast Traffic in Hybrid SDN

  • Ren, Cheng;Wang, Sheng;Ren, Jing;Wang, Xiong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.6
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    • pp.2492-2512
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    • 2018
  • Multicast communication can effectively reduce network resources consumption in contrast with unicast. With the advent of SDN, current researches on multicast traffic are mainly conducted in the SDN scenario, thus to mitigate the problems of IP multicast such as the unavoidable difficulty in traffic engineering and high security risk. However, migration to SDN cannot be achieved in one step, hybrid SDN emerges as a transitional networking form for ISP network. In hybrid SDN, for acquiring similar TE and security performance as in SDN multicast, we redirect every multicast traffic to an appropriate SDN node before reaching the destinations of the multicast group, thus to build up a core-based multicast tree substantially which is first introduced in CBT. Based on the core SDN node, it is possible to realize dynamic control over the routing paths to benefit traffic engineering (TE), while multicast traffic manageability can also be obtained, e.g., access control and middlebox-supported network services. On top of that, multiple core-based multicast trees are constructed for each multicast group by fully taking advantage of the routing flexibility of SDN nodes, in order to further enhance the TE performance. The multicast routing and splitting (MRS) algorithm is proposed whereby we jointly and efficiently determine an appropriate core SDN node for each group, as well as optimizing the traffic splitting fractions for the corresponding multiple core-based trees to minimize the maximum link utilization. We conduct simulations with different SDN deployment rate in real network topologies. The results indicate that, when 40% of the SDN switches are deployed in HSDN as well as calculating 2 trees for each group, HSDN multicast adopting MRS algorithm can obtain a comparable TE performance to SDN multicast.

Energy-Aware Traffic Engineering in Hybrid SDN/IP Backbone Networks

  • Wei, Yunkai;Zhang, Xiaoning;Xie, Lei;Leng, Supeng
    • Journal of Communications and Networks
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    • v.18 no.4
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    • pp.559-566
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    • 2016
  • Software defined network (SDN) can effectively improve the performance of traffic engineering and will be widely used in backbone networks. Therefore, new energy-saving schemes must take SDN into consideration; this action is extremely important owing to the rapidly increasing energy consumption in telecom and Internet service provider (ISP) networks. Meanwhile, the introduction of SDN in current networks must be incremental in most cases, for technical and economic reasons. During this period, operators must manage hybrid networks in which SDN and traditional protocols coexist. In this study, we investigate the energy-efficient traffic engineering problem in hybrid SDN/Internet protocol (IP) networks. First, we formulate the mathematical optimization model considering the SDN/IP hybrid routing mode. The problem is NP-hard; therefore, we propose a fast heuristic algorithm named hybrid energy-aware traffic engineering (HEATE) as a solution. In our proposed HEATE algorithm, the IP routers perform shortest-path routing by using distributed open shortest path first (OSPF) link weight optimization. The SDNs perform multipath routing with traffic-flow splitting managed by the global SDN controller. The HEATE algorithm determines the optimal setting for the OSPF link weight and the splitting ratio of SDNs. Thus, the traffic flow is aggregated onto partial links, and the underutilized links can be turned off to save energy. Based on computer simulation results, we demonstrate that our algorithm achieves a significant improvement in energy efficiency in hybrid SDN/IP networks.

SDN-based Hybrid Distributed Mobility Management

  • Wie, Sunghong
    • Journal of information and communication convergence engineering
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    • v.17 no.2
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    • pp.97-104
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    • 2019
  • Distributed mobility management (DMM) does not use a centralized device. Its mobility functions are distributed among routers; therefore, the mobility services are not limited to the performance and reliability of specific mobility management equipment. The DMM scheme has been studied as a partially distributed architecture, which distributes only a packet delivery domain in combination with the software defined network (SDN) technology that separates the packet delivery and control areas. Particularly, a separated control area is advantageous in introducing a new service, thereby optimizing the network by recognizing the entire network situation and taking an optimal decision. The SDN-based mobility management scheme is studied as a method to optimize the packet delivery path whenever a mobile node moves; however, it results in excessive signaling processing cost. To reduce the high signaling cost, we propose a hybrid distributed mobility management method and analyze its performance mathematically.

An Improved Intrusion Detection System for SDN using Multi-Stage Optimized Deep Forest Classifier

  • Saritha Reddy, A;Ramasubba Reddy, B;Suresh Babu, A
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.374-386
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    • 2022
  • Nowadays, research in deep learning leveraged automated computing and networking paradigm evidenced rapid contributions in terms of Software Defined Networking (SDN) and its diverse security applications while handling cybercrimes. SDN plays a vital role in sniffing information related to network usage in large-scale data centers that simultaneously support an improved algorithm design for automated detection of network intrusions. Despite its security protocols, SDN is considered contradictory towards DDoS attacks (Distributed Denial of Service). Several research studies developed machine learning-based network intrusion detection systems addressing detection and mitigation of DDoS attacks in SDN-based networks due to dynamic changes in various features and behavioral patterns. Addressing this problem, this research study focuses on effectively designing a multistage hybrid and intelligent deep learning classifier based on modified deep forest classification to detect DDoS attacks in SDN networks. Experimental results depict that the performance accuracy of the proposed classifier is improved when evaluated with standard parameters.

A Novel SDN-based System for Provisioning of Smart Hybrid Media Services

  • Jeon, Myunghoon;Lee, Byoung-dai
    • Journal of Internet Computing and Services
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    • v.19 no.2
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    • pp.33-41
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    • 2018
  • In recent years, technology is rapidly changing to support new service consumption and distribution models in multimedia service systems and hybrid delivery of media services is a key factor for enabling next generation multimedia services. This phenomenon can lead to rapidly increasing network traffic and ultimately has a direct and aggravating effect on the user's quality of service (QOS). To address the issue, we propose a novel system architecture to provide smart hybrid media services efficiently. The architecture is designed to apply the software-defined networking (SDN) method, detect changes in traffic, and combine the data, including user data, service features, and computation node status, to provide a service schedule that is suitable for the current state. To this end, the proposed architecture is based on 2-level scheduling, where Level-1 scheduling is responsible for the best network path and a computation node for processing the user request, whereas Level-2 scheduling deals with individual service requests that arrived at the computation node. This paper describes the overall concept of the architecture, as well as the functions of each component. In addition, this paper describes potential scenarios that demonstrate how this architecture could provide services more efficiently than current media-service architectures.

Hybrid Video Streming using SVC based on Reinforcement Learning in SDN (SDN에서 SVC를 이용한 강화 학습 기반 하이브리드 비디오 스트리밍 기법)

  • Ahn, Joonbeom;Yeom, sanggil;Choo, Hyunseung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.114-117
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    • 2017
  • Scalable Video Coding(SVC)은 효율적인 스트리밍을 제공하기 위해 제안된 비디오 코딩 방식으로 비디오 파일을 계층적으로 구분을 하여 기초 계층에 향상 계층을 추가하여 비디오의 해상도, 프레임 재생율 그리고 화질을 개선시킬 수 있다. 현재 Software Defined Networing(SDN) 환경에서 SVC를 이용한 다양한 라우팅 기법 연구가 진행되고 있다. 본 논문은 SDN 환경에서 네트워크 상태에 따라 하나 또는 여러 개의 경로로 전송을 하는 하이브리드 비디오 스트리밍을 제안한다. 제안 기법에서 경로의 선택은 SVC의 계층별로 진행한다. 제안 기법을 통해 비디오 세그먼트의 손실율을 줄여 높은 QoE를 제공할 수 있고 비디오의 끊김 현상을 최소화 할 수 있다.

A Hybrid PAPR Reduction Scheme for Optical Wireless OFDM Communication Systems

  • Abdulkafi, Ayad Atiyah;Alias, Mohamad Yusoff;Hussein, Yaseein Soubhi;Omar, Nazaruddin;Salleh, Mohd Kamarulzamin Bin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.3
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    • pp.1136-1151
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    • 2018
  • This paper proposes a new hybrid scheme to decrease the high peak to average power ratio (PAPR) of optical orthogonal frequency division multiplexing (OFDM) signals in visible light communication (VLC) systems. The PAPR causes nonlinear signal distortions and high power requirements for the VLC transmitter (light emitting diode, LED). The proposed method is applicable for both direct current-biased optical OFDM (DCO-OFDM) and asymmetrically clipped optical OFDM (ACO-OFDM). In the proposed scheme, the PTS method is firstly modified to fit both optical OFDM approaches transmission and then combined with signal clipping method for further PAPR reduction and bit error rate (BER) improvement of the VLC system. The performance of hybrid scheme has been evaluated and compared with the original OFDM based VLC system, conventional PTS and clipping methods. The results show that the hybrid scheme outperforms other methods in terms of both the PAPR reduction and BER performance.

SDN-Based Enterprise and Campus Networks: A Case of VLAN Management

  • Nguyen, Van-Giang;Kim, Young-Han
    • Journal of Information Processing Systems
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    • v.12 no.3
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    • pp.511-524
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    • 2016
  • The Virtual Local Area Network (VLAN) has been used for a long time in campus and enterprise networks as the most popular network virtualization solution. Due to the benefits and advantages achieved by using VLAN, network operators and administrators have been using it for constructing their networks up until now and have even extended it to manage the networking in a cloud computing system. However, their configuration is a complex, tedious, time-consuming, and error-prone process. Since Software Defined Networking (SDN) features the centralized network management and network programmability, it is a promising solution for handling the aforementioned challenges in VLAN management. In this paper, we first introduce a new architecture for campus and enterprise networks by leveraging SDN and OpenFlow. Next, we have designed and implemented an application for easily managing and flexibly troubleshooting the VLANs in this architecture. This application supports both static VLAN and dynamic VLAN configurations. In addition, we discuss the hybrid-mode operation where the packet processing is involved by both the OpenFlow control plane and the traditional control plane. By deploying a real test-bed prototype, we illustrate how our system works and then evaluate the network latency in dynamic VLAN operation.

A Hybrid Centralized-Distributed Mobility Management Scheme in SDN-Based LTE/EPC Networks (SDN 기반 LTE/EPC 네트워크에서 하이브리드 중앙-분산 이동성 관리 기법)

  • Lim, Hyun-Kyo;Kim, Kyoung-Han;Kim, Young-hwan;Han, Youn-Hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.426-429
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    • 2015
  • 최근 급격히 증가한 모바일 기기로 인하여 발생되는 데이터/제어 트래픽은 LTE/EPC 네트워크에서 중앙에 과다한 트래픽 수용문제가 중요 이슈로 부각되고 있다. 기존의 Centralized Mobility Management(CMM) 기반의 LTE/EPC 네트워크에서 Mobility Anchor 역할을 수행하는 Packet Data Network Gateway (P-GW)에서는 데이터 트래픽 과부하가 발생한다. 또한 Distributed Mobility Management (DMM) 기반의 LTE/EPC 네트워크에서 분산된 Mobility Anchor 역할을 수행하는 PDN Edge Gateway (P-EGW)에서는 제어 트래픽의 과부하가 발생한다. 본 논문에서는 이러한 문제를 해결하기 위하여 CMM 기반과 DMM 기반을 결합한 새로운 Software Defined Network (SDN) 기반의 LTE/EPC 네트워크 이동성 관리 기법을 제안한다. 이를 위하여, P-EGW를 네트워크 내에 분산 배치하고 중앙에 P-GW를 배치한다. SDN 컨트롤러는 EPC의 역할도 수행하며 UE의 이동성에 따라 적절한 CMM 기법과 DMM 기법을 이용하도록 하는 기법을 제안한다. 또한, 제안하는 새로운 LTE/EPC 네트워크 구조와 기존의 CMM기반의 LTE/EPC 네트워크 구조, DMM 기반의 LTE/EPC 네트워크 구조를 핸드오버 지연시간과 데이터 전송시간 측면에서 성능 비교 분석을 한다.

Hybrid Centralized-Distributed Mobility Management Scheme in SDN-Based LTE/EPC Networks (SDN 기반 LTE/EPC 네트워크에서 하이브리드 중앙-분산 이동성 관리 기법)

  • Lim, Hyun-Kyo;Kim, Yong-hwan;Han, Youn-Hee
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.4
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    • pp.768-779
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    • 2017
  • Recently, the great number of mobile devices causes excessive data/control traffic problems in the centralized LTE/EPC network and such dramatically increased traffic is emerging as a critical issue. In the Centralized Mobility Management (CMM) based LTE/EPC network, the Packet Data Network Gateway (P-GW) plays the centralized mobility anchor role and it accommodates most of data traffic. To solve this problem, the IETF has proposed the Distributed Mobility Management (DMM) scheme, but it has only focused on the data traffic load balancing and could not solve the control traffic overload problem. In this paper, therefore, we propose a new SDN based hybrid CMM/DMM Mobility Management (C-DMM) architecture based on Packet Network Edge Gateway (P-EGW), and introduce a selection scheme between CMM and DMM according to a device's mobility and the number of PDN connections. In order to prove the efficiency of the proposed architecture and scheme, we compare the data traffic processing load and the control traffic processing load over each scheme by emulating them in the ONOS controller and the Mininet environment.