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

  • Physics and Astronomy(all)

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