Control Software

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 29901 Experts worldwide ranked by ideXlab platform

Kyriakos Zarifis - One of the best experts on this subject based on the ideXlab platform.

  • troubleshooting blackbox sdn Control Software with minimal causal sequences
    ACM Special Interest Group on Data Communication, 2015
    Co-Authors: Colin Scott, Andreas Wundsam, Barath Raghavan, Aurojit Panda, Andrew Or, Eugene Huang, Ahmed Elhassany, Sam Whitlock, H B Acharya, Kyriakos Zarifis
    Abstract:

    Software bugs are inevitable in Software-defined networking Control Software, and troubleshooting is a tedious, time-consuming task. In this paper we discuss how to improve Control Software troubleshooting by presenting a technique for automatically identifying a minimal sequence of inputs responsible for triggering a given bug, without making assumptions about the language or instrumentation of the Software under test. We apply our technique to five open source SDN Control platforms---Floodlight, NOX, POX, Pyretic, ONOS---and illustrate how the minimal causal sequences our system found aided the troubleshooting process.

Colin Scott - One of the best experts on this subject based on the ideXlab platform.

  • troubleshooting blackbox sdn Control Software with minimal causal sequences
    ACM Special Interest Group on Data Communication, 2015
    Co-Authors: Colin Scott, Andreas Wundsam, Barath Raghavan, Aurojit Panda, Andrew Or, Eugene Huang, Ahmed Elhassany, Sam Whitlock, H B Acharya, Kyriakos Zarifis
    Abstract:

    Software bugs are inevitable in Software-defined networking Control Software, and troubleshooting is a tedious, time-consuming task. In this paper we discuss how to improve Control Software troubleshooting by presenting a technique for automatically identifying a minimal sequence of inputs responsible for triggering a given bug, without making assumptions about the language or instrumentation of the Software under test. We apply our technique to five open source SDN Control platforms---Floodlight, NOX, POX, Pyretic, ONOS---and illustrate how the minimal causal sequences our system found aided the troubleshooting process.

  • SIGCOMM - Troubleshooting blackbox SDN Control Software with minimal causal sequences
    ACM SIGCOMM Computer Communication Review, 2015
    Co-Authors: Colin Scott, Andreas Wundsam, Barath Raghavan, Aurojit Panda, Andrew Or, Eugene Huang, Ahmed El-hassany, Sam Whitlock
    Abstract:

    Software bugs are inevitable in Software-defined networking Control Software, and troubleshooting is a tedious, time-consuming task. In this paper we discuss how to improve Control Software troubleshooting by presenting a technique for automatically identifying a minimal sequence of inputs responsible for triggering a given bug, without making assumptions about the language or instrumentation of the Software under test. We apply our technique to five open source SDN Control platforms---Floodlight, NOX, POX, Pyretic, ONOS---and illustrate how the minimal causal sequences our system found aided the troubleshooting process.

Sam Whitlock - One of the best experts on this subject based on the ideXlab platform.

  • troubleshooting blackbox sdn Control Software with minimal causal sequences
    ACM Special Interest Group on Data Communication, 2015
    Co-Authors: Colin Scott, Andreas Wundsam, Barath Raghavan, Aurojit Panda, Andrew Or, Eugene Huang, Ahmed Elhassany, Sam Whitlock, H B Acharya, Kyriakos Zarifis
    Abstract:

    Software bugs are inevitable in Software-defined networking Control Software, and troubleshooting is a tedious, time-consuming task. In this paper we discuss how to improve Control Software troubleshooting by presenting a technique for automatically identifying a minimal sequence of inputs responsible for triggering a given bug, without making assumptions about the language or instrumentation of the Software under test. We apply our technique to five open source SDN Control platforms---Floodlight, NOX, POX, Pyretic, ONOS---and illustrate how the minimal causal sequences our system found aided the troubleshooting process.

  • SIGCOMM - Troubleshooting blackbox SDN Control Software with minimal causal sequences
    ACM SIGCOMM Computer Communication Review, 2015
    Co-Authors: Colin Scott, Andreas Wundsam, Barath Raghavan, Aurojit Panda, Andrew Or, Eugene Huang, Ahmed El-hassany, Sam Whitlock
    Abstract:

    Software bugs are inevitable in Software-defined networking Control Software, and troubleshooting is a tedious, time-consuming task. In this paper we discuss how to improve Control Software troubleshooting by presenting a technique for automatically identifying a minimal sequence of inputs responsible for triggering a given bug, without making assumptions about the language or instrumentation of the Software under test. We apply our technique to five open source SDN Control platforms---Floodlight, NOX, POX, Pyretic, ONOS---and illustrate how the minimal causal sequences our system found aided the troubleshooting process.

Andreas Wundsam - One of the best experts on this subject based on the ideXlab platform.

  • troubleshooting blackbox sdn Control Software with minimal causal sequences
    ACM Special Interest Group on Data Communication, 2015
    Co-Authors: Colin Scott, Andreas Wundsam, Barath Raghavan, Aurojit Panda, Andrew Or, Eugene Huang, Ahmed Elhassany, Sam Whitlock, H B Acharya, Kyriakos Zarifis
    Abstract:

    Software bugs are inevitable in Software-defined networking Control Software, and troubleshooting is a tedious, time-consuming task. In this paper we discuss how to improve Control Software troubleshooting by presenting a technique for automatically identifying a minimal sequence of inputs responsible for triggering a given bug, without making assumptions about the language or instrumentation of the Software under test. We apply our technique to five open source SDN Control platforms---Floodlight, NOX, POX, Pyretic, ONOS---and illustrate how the minimal causal sequences our system found aided the troubleshooting process.

  • SIGCOMM - Troubleshooting blackbox SDN Control Software with minimal causal sequences
    ACM SIGCOMM Computer Communication Review, 2015
    Co-Authors: Colin Scott, Andreas Wundsam, Barath Raghavan, Aurojit Panda, Andrew Or, Eugene Huang, Ahmed El-hassany, Sam Whitlock
    Abstract:

    Software bugs are inevitable in Software-defined networking Control Software, and troubleshooting is a tedious, time-consuming task. In this paper we discuss how to improve Control Software troubleshooting by presenting a technique for automatically identifying a minimal sequence of inputs responsible for triggering a given bug, without making assumptions about the language or instrumentation of the Software under test. We apply our technique to five open source SDN Control platforms---Floodlight, NOX, POX, Pyretic, ONOS---and illustrate how the minimal causal sequences our system found aided the troubleshooting process.

Andrew Or - One of the best experts on this subject based on the ideXlab platform.

  • troubleshooting blackbox sdn Control Software with minimal causal sequences
    ACM Special Interest Group on Data Communication, 2015
    Co-Authors: Colin Scott, Andreas Wundsam, Barath Raghavan, Aurojit Panda, Andrew Or, Eugene Huang, Ahmed Elhassany, Sam Whitlock, H B Acharya, Kyriakos Zarifis
    Abstract:

    Software bugs are inevitable in Software-defined networking Control Software, and troubleshooting is a tedious, time-consuming task. In this paper we discuss how to improve Control Software troubleshooting by presenting a technique for automatically identifying a minimal sequence of inputs responsible for triggering a given bug, without making assumptions about the language or instrumentation of the Software under test. We apply our technique to five open source SDN Control platforms---Floodlight, NOX, POX, Pyretic, ONOS---and illustrate how the minimal causal sequences our system found aided the troubleshooting process.

  • SIGCOMM - Troubleshooting blackbox SDN Control Software with minimal causal sequences
    ACM SIGCOMM Computer Communication Review, 2015
    Co-Authors: Colin Scott, Andreas Wundsam, Barath Raghavan, Aurojit Panda, Andrew Or, Eugene Huang, Ahmed El-hassany, Sam Whitlock
    Abstract:

    Software bugs are inevitable in Software-defined networking Control Software, and troubleshooting is a tedious, time-consuming task. In this paper we discuss how to improve Control Software troubleshooting by presenting a technique for automatically identifying a minimal sequence of inputs responsible for triggering a given bug, without making assumptions about the language or instrumentation of the Software under test. We apply our technique to five open source SDN Control platforms---Floodlight, NOX, POX, Pyretic, ONOS---and illustrate how the minimal causal sequences our system found aided the troubleshooting process.

Control Software - 15 days free trial to Access Experts & Abstracts