FAULT-TOLERANT DATA SHARING FOR HIGH- LEVEL GRID PROGRAMMING A HIERARCHICAL STORAGE ARCHITE.pdfVIP

下载本文档

2
0
约3.21万字
约 12页
2017-04-13 发布于江苏
举报
版权申诉

FAULT-TOLERANT DATA SHARING FOR HIGH- LEVEL GRID PROGRAMMING A HIERARCHICAL STORAGE ARCHITE.pdf

1、有哪些信誉好的足球投注网站（book118）网站文档一经付费（服务费），不意味着购买了该文档的版权，仅供个人/单位学习、研究之用，不得用于商业用途，未经授权，严禁复制、发行、汇编、翻译或者网络传播等，侵权必究。。
2、本站所有内容均由合作方或网友上传，本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺！文档内容仅供研究参考，付费前请自行鉴别。如您付费，意味着您自己接受本站规则且自行承担风险，本站不退款、不进行额外附加服务；查看《如何避免下载的几个坑》。如果您已付费下载过本站文档，您可以点击这里二次下载。
3、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等，请点击“版权申诉”（推荐），也可以打举报电话：400-050-0827(电话支持时间：9:00-18:30)。
4、该文档为VIP文档，如果想要下载，成为VIP会员后，下载免费。
5、成为VIP后，下载本文档将扣除1次下载权益。下载后，不支持退款、换文档。如有疑问请联系我们。
6、成为VIP后，您将拥有八大权益，权益包括：VIP文档下载权益、阅读免打扰、文档格式转换、高级专利检索、专属身份标志、高级客服、多端互通、版权登记。
7、VIP文档为合作方或网友上传，每下载1次，网站将根据用户上传文档的质量评分、类型等，对文档贡献者给予高额补贴、流量扶持。如果你也想贡献VIP文档。上传文档

FAULT-TOLERANT DATA SHARING FOR HIGH- LEVEL GRID PROGRAMMING A HIERARCHICAL STORAGE ARCHITE

FAULT-TOLERANT DATA SHARING FOR HIGH- LEVEL GRID PROGRAMMING: A HIERARCHICAL STORAGE ARCHITECTURE Marco Aldinucci, Marco Danelutto Computer Science Department, University of Pisa Largo Bruno Pontecorvo 3, 56127 Pisa, Italy aldinuc@di.unipi.it Gabriel Antoniu, Mathieu Jan INRIA Rennes Campus de Beaulieu, 35042 Rennes, France gabriel.antoniu@irisa.fr, mathieu.jan@irisa.fr Abstract Enabling high-level programming models on grids is today a major challenge. A way to achieve this goal relies on the use of environments able to transparently and automatically provide adequate support for low-level, grid-specific issues (fault-tolerance, scalability, etc.). This paper discusses the above approach when applied to grid data management. As a case study, we propose a 2-tier software architecture that supports transparent, fault-tolerant, grid-level data sharing in the ASSIST programming environment (University of Pisa), based on the JuxMem grid data sharing service (INRIA Rennes). Keywords: Grid, shared memory, High-level programming, memory hierarchy, P2P. 21. Introduction Grid computing has emerged as an attempt to provide users with the illusion of an infinitely powerful, easy-to-use computer, which can solve very complex problems. This very appealing illusion is to be provided (1) by relying on the aggregated power of standard (so, inexpensive), geographically distributed resources owned by multiple organizations; (2) by hiding as much as possible the complexity of the distributed infrastructure to users. However, the current status in most software grid infrastructures available today is rather far away from this vision. When designing programs able to run on such large-scale platforms, programmers often need to explicitly take into account resource heterogeneity, as well as the unreliability of the distributed infrastructure. In this context, the grid community converges towards a consensus about the need for a high-level programming model, whereas most of the grid-specif