TY - GEN
T1 - Software-defined network solutions for science scenarios
T2 - 19th International Conference on Distributed Computing and Networking, ICDCN 2018
AU - Rao, Nageswara S.V.
AU - Liu, Qiang
AU - Sen, Satyabrata
AU - Kettimuthu, Raj
AU - Boley, Josh
AU - Settlemyer, Bradley W.
AU - Chen, Hsing B.
AU - Katramatos, Dimitrios
AU - Yu, Dantong
N1 - Publisher Copyright:
© 2018 ACM. 978-1-4503-6372-3/18/01. . . $15.00.
PY - 2018/1/4
Y1 - 2018/1/4
N2 - High-performance scientific workflows utilize supercomputers, scientific instruments, and large storage systems. Their executions require fast setup of a small number of dedicated network connections across the geographically distributed facility sites.We present Software-Defined Network (SDN) solutions consisting of site daemons that use dpctl, Floodlight, ONOS, or OpenDaylight controllers to set up these connections. The development of these SDN solutions could be quite disruptive to the infrastructure, while requiring a close coordination among multiple sites; in addition, the large number of possible controller and device combinations to investigate could make the infrastructure unavailable to regular users for extended periods of time. In response, we develop a Virtual Science Network Environment (VSNE) using virtual machines, Mininet, and custom scripts that support the development, testing, and evaluation of SDN solutions, without the constraints and expenses of multi-site physical infrastructures; furthermore, the chosen solutions can be directly transferred to production deployments. By complementing VSNE with a physical testbed, we conduct targeted performance tests of various SDN solutions to help choose the best candidates. In addition, we propose a switching response method to assess the setup times and throughput performances of different SDN solutions, and present experimental results that show their advantages and limitations.
AB - High-performance scientific workflows utilize supercomputers, scientific instruments, and large storage systems. Their executions require fast setup of a small number of dedicated network connections across the geographically distributed facility sites.We present Software-Defined Network (SDN) solutions consisting of site daemons that use dpctl, Floodlight, ONOS, or OpenDaylight controllers to set up these connections. The development of these SDN solutions could be quite disruptive to the infrastructure, while requiring a close coordination among multiple sites; in addition, the large number of possible controller and device combinations to investigate could make the infrastructure unavailable to regular users for extended periods of time. In response, we develop a Virtual Science Network Environment (VSNE) using virtual machines, Mininet, and custom scripts that support the development, testing, and evaluation of SDN solutions, without the constraints and expenses of multi-site physical infrastructures; furthermore, the chosen solutions can be directly transferred to production deployments. By complementing VSNE with a physical testbed, we conduct targeted performance tests of various SDN solutions to help choose the best candidates. In addition, we propose a switching response method to assess the setup times and throughput performances of different SDN solutions, and present experimental results that show their advantages and limitations.
KW - Controllers
KW - Dedicated connections
KW - Science scenarios
KW - Software-Defined networks
KW - Switching response method
UR - http://www.scopus.com/inward/record.url?scp=85041234805&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85041234805&partnerID=8YFLogxK
U2 - 10.1145/3154273.3154336
DO - 10.1145/3154273.3154336
M3 - Conference contribution
AN - SCOPUS:85041234805
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 19th International Conference on Distributed Computing and Networking, ICDCN 2018
PB - Association for Computing Machinery
Y2 - 4 January 2018 through 7 January 2018
ER -