StorNet: Integrated dynamic storage and network resource provisioning and management for automated data transfers

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

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

StorNet is a joint project of Brookhaven National Laboratory (BNL) and Lawrence Berkeley National Laboratory (LBNL) to research, design, and develop an integrated end-to-end resource provisioning and management framework for high-performance data transfers. The StorNet framework leverages heterogeneous network protocols and storage types in a federated computing environment to provide the capability of predictable, efficient delivery of high-bandwidth data transfers for data intensive applications. The framework incorporates functional modules to perform such data transfers through storage and network bandwidth co-scheduling, storage and network resource provisioning, and performance monitoring, and is based on LBNL's BeStMan/SRM, BNL's TeraPaths, and ESNet's OSCARS systems.

Original languageEnglish (US)
Article number12002
JournalJournal of Physics: Conference Series
Volume331
Issue numberPART 1
DOIs
StatePublished - 2011
EventInternational Conference on Computing in High Energy and Nuclear Physics, CHEP 2010 - Taipei, Taiwan, Province of China
Duration: Oct 18 2010Oct 22 2010

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy

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