发表状态 | 已发表Published |
题名 | Research on on-demand grid services access |
作者 | |
发表日期 | 2004 |
发表期刊 | Neural, Parallel and Scientific Computations
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ISSN/eISSN | 1061-5369 |
卷号 | 12期号:3页码:407-418 |
摘要 | In this paper, we study a grid gateway for the legacy business systems integration. As an emerging technology in enabling virtualization of computing resources such as CPU, severs, networks, applications and systems, so far Grid technologies have been mainly deployed to enable computational CPU sharing. However, in the business computing, current Grid technologies are not mature enough for legacy business systems integration. Recently, a web service is introduced into the Open Grid Services Architecture (OGSA) (Foster et. al., 2002) that makes one step further toward solving the distributed system integration problems in the heterogeneous environment. In this paper, we investigate a new integration framework for integrating the legacy business systems into Grid environment, while ensuring the performance levels of the integrated business systems. In this framework, we will enhance the Grid integration capabilities by providing single sign on capabilities for all integrated business systems, context management, and dynamic job scheduling policies and algorithms. An analytical framework is also proposed to analyze the local system's capacity. © Dynamic Publishers, Inc. |
关键词 | Grid gateway Legacy system integration Web service |
URL | 查看来源 |
语种 | 英语English |
Scopus入藏号 | 2-s2.0-10644228660 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/6993 |
专题 | 个人在本单位外知识产出 |
通讯作者 | Luo, Zongwei |
作者单位 | E-business Technology Institute,University of Hong Kong,China |
推荐引用方式 GB/T 7714 | Luo, Zongwei. Research on on-demand grid services access[J]. Neural, Parallel and Scientific Computations, 2004, 12(3): 407-418. |
APA | Luo, Zongwei. (2004). Research on on-demand grid services access. Neural, Parallel and Scientific Computations, 12(3), 407-418. |
MLA | Luo, Zongwei."Research on on-demand grid services access". Neural, Parallel and Scientific Computations 12.3(2004): 407-418. |
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