StorNet: Co-scheduling of end-to-end bandwidth reservation on storage and network systems for high-performance data transfers

Junmin Gu, Dimitrios Katramatos, Xin Liu, Vijaya Natarajan, Arie Shoshani, Alex Sim, Dantong Yu, Scott Bradley, Shawn McKee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

Modern scientific data-intensive applications brought about the need for novel data transfer technologies and automated tools capable of effectively utilizing available raw network bandwidth and intelligently assisting scientists in replicating large volumes of data to desired locations in a timely manner. In this paper we describe the design of StorNet, an integrated end-to-end resource provisioning and management system for high performance data transfers that can operate with heterogeneous network protocols and storage systems in a federated computing environment. StorNet allocates and co-schedules storage and network resources involved in data transfers. It is based on existing Storage Resource Manager, TeraPaths, and OSCARS capabilities. StorNet provides data intensive applications with the capability of predictable, yet efficient delivery of data at rates of multiple gigabits/second, bridging end-to-end advanced storage and network technologies in a transparent way.

Original languageEnglish (US)
Title of host publication2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011
Pages121-126
Number of pages6
DOIs
StatePublished - Jul 26 2011
Event2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011 - Shanghai, China
Duration: Apr 10 2011Apr 15 2011

Publication series

Name2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011

Other

Other2011 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2011
Country/TerritoryChina
CityShanghai
Period4/10/114/15/11

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication

Keywords

  • bandwidth reservation
  • co-scheduling
  • data transfer

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