The Experts below are selected from a list of 21984 Experts worldwide ranked by ideXlab platform

Akihiro Nakao - One of the best experts on this subject based on the ideXlab platform.

  • Network application performance improvement with deeply Programmable switch
    Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services, 2016
    Co-Authors: Shinnosuke Nirasawa, Akihiro Nakao, Shu Yamamoto, Masato Oguchi, Masaki Hara, Saneyasu Yamaguchi
    Abstract:

    Large scale applications in data centers are composed of computers connected with a Network. Traditional Network switches cannot be flexibly controlled. Then, application developer cannot optimize Network elements' behavior for improving application performance. On the other hand, Deeply Programmable Network (DPN) switches can completely analyze packet payloads and be profoundly programmed. In this paper, we focus on processing a part of application functions in Network elements for improving application performance based on Deep Packet Inspection (DPI), i.e. analyzing packet payload, using DPN switches. We assume some applications as targets and implement some of functions of applications in Network switches. We then present the comparison of performances with and without out method, and show that our method can significantly increase application performance.

  • sns information based Network control system developed on flare experiment environment
    High Performance Switching and Routing, 2016
    Co-Authors: Haruka Yanagida, Akihiro Nakao, Shu Yamamoto, Saneyasu Yamaguchi, Masato Oguchi
    Abstract:

    To achieve Network availability in disaster situations, we propose the traffic control system based on SNS information. In order to utilize the data of packet payload obtained from SNS, Deeply Programmable Network (DPN) is needed. In this paper, we implement and evaluate the proposed method with FLARE switch and achieve more flexible control of the Network.

  • vnode infrastucture enhancement deeply Programmable Network virtualization
    Asia-Pacific Conference on Communications, 2015
    Co-Authors: Kazuhisa Yamada, Yasusi Kanada, Akihiro Nakao, Koichiro Amemiya, Yoshinori Saida
    Abstract:

    We introduce the latest extended functions for the VNode infrastructure. We present new extended VNode infrastructure functions that achieve high performance and provide convenient deep programmability to Network developers. In addition, we extend Network virtualization from the core Network to edge Networks and terminals. We deploy an enhanced VNode infrastructure on the JGN-X testbed in evaluation experiments. We also succeeded to create international federation slice between GENI and Fed4FIRE.

  • Toy Block Networking: Easily Deploying Diverse Network Functions in Programmable Networks
    2014 IEEE 38th International Computer Software and Applications Conference Workshops, 2014
    Co-Authors: Masaki Fukushima, Shu Yamamoto, Yoshiaki Yoshida, Atsushi Tagami, Akihiro Nakao
    Abstract:

    Recent progress on virtualization and deeply Programmable Network technologies brings opportunities for Network operators to flexibly deploy a diverse set of Network functions as software-based middle boxes. We present a new deployment and configuration management framework for Network functions, called toy block Networking. In our framework, an operator can describe its Network-wide deployment plan of various Network functions by using a unified abstraction representing essential features of composition of Network functions, without including the detail of the functions and specific configuration interfaces. This abstraction is based on a Network-wide configuration graph that captures the relationships between various Network functions, and thus Network-wide consistency of their configurations is systematically validated by the framework. Our framework enables the Network operator, like building toy blocks into a structure, to compose various Network functions from different vendors into a unified Network service plan, and deploy them in an operational Network.

  • deeply Programmable Network emerging technologies for Network virtualization and software defined Network sdn
    ITU Kaleidoscope: Building Sustainable Communities (K-2013) 2013 Proceedings of, 2013
    Co-Authors: Akihiro Nakao
    Abstract:

    This presentation introduces the recent trends in Network virtualization and software defined Network (SDN). We expect these trends to help establish sustainable communities to meet challenges of today's and tomorrow's communication infrastructures. These infrastructures, in turn, will support various human activities and thus contribute to the creation of human-oriented technologies.

C M Krishna - One of the best experts on this subject based on the ideXlab platform.

  • software based failure detection and recovery in Programmable Network interfaces
    IEEE Transactions on Parallel and Distributed Systems, 2007
    Co-Authors: Yizheng Zhou, V Lakamraju, Israel Koren, C M Krishna
    Abstract:

    Emerging Network technologies have complex Network interfaces that have renewed concerns about Network reliability. In this paper, we present an effective low-overhead fault tolerance technique to recover from Network interface failures. Failure detection is based on a software watchdog timer that detects Network processor hangs and a self-testing scheme that detects interface failures other than processor hangs. The proposed self-testing scheme achieves failure detection by periodically directing the control flow to go through only active software modules in order to detect errors that affect instructions in the local memory of the Network interface. Our failure recovery is achieved by restoring the state of the Network interface using a small backup copy containing just the right amount of information required for complete recovery. The paper shows how this technique can be made to minimize the performance impact to the host system and be completely transparent to the user.

  • software based failure detection and recovery in Programmable Network interfaces
    IEEE Transactions on Parallel and Distributed Systems, 2007
    Co-Authors: Yizheng Zhou, V Lakamraju, Israel Koren, C M Krishna
    Abstract:

    Emerging Network technologies have complex Network interfaces that have renewed concerns about Network reliability. In this paper, we present an effective low-overhead fault tolerance technique to recover from Network interface failures. Failure detection is based on a software watchdog timer that detects Network processor hangs and a self-testing scheme that detects interface failures other than processor hangs. The proposed self-testing scheme achieves failure detection by periodically directing the control flow to go through only active software modules in order to detect errors that affect instructions in the local memory of the Network interface. Our failure recovery is achieved by restoring the state of the Network interface using a small backup copy containing just the right amount of information required for complete recovery. The paper shows how this technique can be made to minimize the performance impact to the host system and be completely transparent to the user.

Yizheng Zhou - One of the best experts on this subject based on the ideXlab platform.

  • software based failure detection and recovery in Programmable Network interfaces
    IEEE Transactions on Parallel and Distributed Systems, 2007
    Co-Authors: Yizheng Zhou, V Lakamraju, Israel Koren, C M Krishna
    Abstract:

    Emerging Network technologies have complex Network interfaces that have renewed concerns about Network reliability. In this paper, we present an effective low-overhead fault tolerance technique to recover from Network interface failures. Failure detection is based on a software watchdog timer that detects Network processor hangs and a self-testing scheme that detects interface failures other than processor hangs. The proposed self-testing scheme achieves failure detection by periodically directing the control flow to go through only active software modules in order to detect errors that affect instructions in the local memory of the Network interface. Our failure recovery is achieved by restoring the state of the Network interface using a small backup copy containing just the right amount of information required for complete recovery. The paper shows how this technique can be made to minimize the performance impact to the host system and be completely transparent to the user.

  • software based failure detection and recovery in Programmable Network interfaces
    IEEE Transactions on Parallel and Distributed Systems, 2007
    Co-Authors: Yizheng Zhou, V Lakamraju, Israel Koren, C M Krishna
    Abstract:

    Emerging Network technologies have complex Network interfaces that have renewed concerns about Network reliability. In this paper, we present an effective low-overhead fault tolerance technique to recover from Network interface failures. Failure detection is based on a software watchdog timer that detects Network processor hangs and a self-testing scheme that detects interface failures other than processor hangs. The proposed self-testing scheme achieves failure detection by periodically directing the control flow to go through only active software modules in order to detect errors that affect instructions in the local memory of the Network interface. Our failure recovery is achieved by restoring the state of the Network interface using a small backup copy containing just the right amount of information required for complete recovery. The paper shows how this technique can be made to minimize the performance impact to the host system and be completely transparent to the user.

Thomas Y Hou - One of the best experts on this subject based on the ideXlab platform.

  • ddos attack protection in the era of cloud computing and software defined Networking
    International Conference on Network Protocols, 2014
    Co-Authors: Bing Wang, Wenjing Lou, Yao Zheng, Thomas Y Hou
    Abstract:

    Cloud computing has become the real trend of enterprise IT service model that offers cost-effective and scalable processing. Meanwhile, Software-Defined Networking (SDN) is gaining popularity in enterprise Networks for flexibility in Network management service and reduced operational cost. There seems a trend for the two technologies to go hand-in-hand in providing an enterprise's IT services. However, the new challenges brought by the marriage of cloud computing and SDN, particularly the implications on enterprise Network security, have not been well understood. This paper sets to address this important problem. We start by examining the security impact, in particular, the impact on DDoS attack defense mechanisms, in an enterprise Network where both technologies are adopted. We find that SDN technology can actually help enterprises to defend against DDoS attacks if the defense architecture is designed properly. To that end, we propose a DDoS attack mitigation architecture that integrates a highly Programmable Network monitoring to enable attack detection and a flexible control structure to allow fast and specific attack reaction. The simulation results show that our architecture can effectively and efficiently address the security challenges brought by the new Network paradigm.

V Lakamraju - One of the best experts on this subject based on the ideXlab platform.

  • software based failure detection and recovery in Programmable Network interfaces
    IEEE Transactions on Parallel and Distributed Systems, 2007
    Co-Authors: Yizheng Zhou, V Lakamraju, Israel Koren, C M Krishna
    Abstract:

    Emerging Network technologies have complex Network interfaces that have renewed concerns about Network reliability. In this paper, we present an effective low-overhead fault tolerance technique to recover from Network interface failures. Failure detection is based on a software watchdog timer that detects Network processor hangs and a self-testing scheme that detects interface failures other than processor hangs. The proposed self-testing scheme achieves failure detection by periodically directing the control flow to go through only active software modules in order to detect errors that affect instructions in the local memory of the Network interface. Our failure recovery is achieved by restoring the state of the Network interface using a small backup copy containing just the right amount of information required for complete recovery. The paper shows how this technique can be made to minimize the performance impact to the host system and be completely transparent to the user.

  • software based failure detection and recovery in Programmable Network interfaces
    IEEE Transactions on Parallel and Distributed Systems, 2007
    Co-Authors: Yizheng Zhou, V Lakamraju, Israel Koren, C M Krishna
    Abstract:

    Emerging Network technologies have complex Network interfaces that have renewed concerns about Network reliability. In this paper, we present an effective low-overhead fault tolerance technique to recover from Network interface failures. Failure detection is based on a software watchdog timer that detects Network processor hangs and a self-testing scheme that detects interface failures other than processor hangs. The proposed self-testing scheme achieves failure detection by periodically directing the control flow to go through only active software modules in order to detect errors that affect instructions in the local memory of the Network interface. Our failure recovery is achieved by restoring the state of the Network interface using a small backup copy containing just the right amount of information required for complete recovery. The paper shows how this technique can be made to minimize the performance impact to the host system and be completely transparent to the user.