A theoretical and detail approach on grid computing a review on grid computing applications

Rabel Guharoy, Surajit Sur, S. Rakshit, Sumit Kumar, Afaq Ahmed, Subhro Chakborty, Subhojit Dutta, Mayank Srivastava
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引用次数: 10

Abstract

The drastic increase in the commodity computer and network performance for the last generation has a resultant of faster hardware and more sophisticated software. But, the supercomputers of the current generation are still incapable of solving the current problems in the field of science, engineering, and business. This problems arises as a single machine cannot facilitate the availability of various heterogeneous resources required to resolve the crisis. Numerous experimental studies were conducted by different organizations, such that the topologically distributed resources were connected by the means of internet to act as a single machine. This new approach is coined by different naming as, meta-computing, scalable computing, global computing, Internet computing and recently “Grid Computing”. In this research paper, we have discussed about the origin of Grid Computing, need of Grid Computing, followed by the reason of choosing it and several FAQs. The software development kits and application programming interfaces are categorized upon the study of extensible and open Grid architecture. A comparative study between “cloud computing” and “grid computing”, as well a brief study of grid and web services have taken into account. Finally we conclude with the benefits and the applications of Grid computing in the current scenario and the upcoming generations.
一种网格计算的理论和细节方法,综述了网格计算的应用
上一代商用计算机和网络性能的急剧增长导致了更快的硬件和更复杂的软件。但是,当前这一代的超级计算机仍然无法解决科学、工程和商业领域的当前问题。当单个机器不能促进解决危机所需的各种异构资源的可用性时,就会出现这个问题。不同的组织进行了大量的实验研究,将拓扑分布的资源通过互联网连接起来,作为一台机器。这种新方法被称为元计算、可扩展计算、全球计算、互联网计算和最近的“网格计算”。本文讨论了网格计算的起源、网格计算的需求、选择网格计算的原因以及常见问题。根据可扩展和开放网格体系结构的研究,对软件开发工具和应用程序编程接口进行了分类。对“云计算”和“网格计算”进行了比较研究,并对网格和web服务进行了简要研究。最后,我们总结了网格计算在当前和未来场景中的优势和应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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