An interoperable & optimal data grid solution for heterogeneous and SOA based Grid- GARUDA

Abstract

Storage plays an important role in sufficing the requirements of data intensive applications in a Grid computing environment. Current Scientific applications perform complex computational analysis, and consume/produce hundreds of terabytes of data. The authors in this paper have surveyed available data grid solutions, viz., Storage Resource Broker (SRB), Grid File System (GFS), Storage Resource Manager (SRM), iRODS and WS-DAI and presented their operational experiences in Service Oriented Architecture (SOA) based GARUDA grid. SOA introduces more challenges to achieve: availability, security, scalability and performance to the storage system. Based on the survey, the authors proposed GARUDAStorage Resource Manager (GSRM) that adheres to SRM specifications. GSRM is a disk based SRM implementation based on DPM (Disk Pool manager) architecture. It addresses the various aspects like virtualization, security, latency, performance, and data availability. We discussed how GSRM architecture can leverage CDAC's Parallel File System (C-PFS).

GARUDA: Pan-Indian distributed e-infrastructure for compute-data intensive collaborative science

“…The jobs are scheduled on grid resources by Gridway [34] and GT4 web services. The portal supports data management through GARUDA-storage resource manager (G-SRM) [35].…”