一种可互操作的最佳数据网格解决方案,用于异构和基于SOA的网格- GARUDA

Payal Saluja, Prahlada Rao B.B., V. Shashidhar, A. Paventhan, Neetu Sharma
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引用次数: 4

摘要

存储在满足网格计算环境中数据密集型应用程序的需求方面起着重要作用。当前的科学应用程序执行复杂的计算分析,并消耗/产生数百tb的数据。本文作者调查了现有的数据网格解决方案,即存储资源代理(SRB)、网格文件系统(GFS)、存储资源管理器(SRM)、iRODS和WS-DAI,并介绍了他们在基于GARUDA网格的面向服务体系结构(SOA)中的运行经验。SOA引入了更多需要实现的挑战:存储系统的可用性、安全性、可伸缩性和性能。基于调查,作者提出了遵循SRM规范的GARUDA-Storage Resource Manager (GSRM)。GSRM是一种基于DPM (disk Pool manager)架构的基于磁盘的SRM实现。它解决了虚拟化、安全性、延迟、性能和数据可用性等各个方面的问题。我们讨论了GSRM架构如何利用CDAC的并行文件系统(C-PFS)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An interoperable & optimal data grid solution for heterogeneous and SOA based Grid- GARUDA
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 GARUDA-Storage 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).
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