GiGi:“大众电网”上的网格海洋

L. Veiga, R. Rodrigues, P. Ferreira
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引用次数: 31

摘要

有一些建议旨在弥合机构网格基础设施(例如,基于globus的),流行的循环共享应用程序(例如,setqhome)和大量使用的分散的P2P文件共享应用程序之间的差距。尽管如此,在大规模的情况下,这样的基础设施从来没有成功地允许家庭用户更快地运行流行的桌面应用程序,方法是使用其他用户机器上的空闲周期,作为回报,将他们的空闲周期捐赠给其他用户的应用程序。我们提出了一种新的应用程序和编程模型,旨在克服部署通用点对点网格基础设施的一些障碍。特别是,我们希望在广泛使用的现有应用程序的基础设施中启用一个简单的部署,但目前没有利用并行性来提高性能。本文提出的模型围绕Gridlet的概念,Gridlet是工作负载划分和计算卸载的语义感知单元。gridlet是与要在数据上执行的操作相关联的数据块,在许多情况下,这些操作由未修改的应用程序二进制文件组成。此外,还将小网格的概念应用于资源管理和对同行贡献的核算。我们相信,这一新概念将大大降低在流行应用中利用并行执行的障碍,从而提高网格模型被广泛采用的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GiGi: An Ocean of Gridlets on a "Grid-for-the-Masses"
There have been a few proposals aiming at bridging the gap between institutional grid infrastructures (e.g., Globus-based), popular cycle-sharing applications (e.g., SETIQhome), and massively used decentralized P2P file-sharing applications. Nonetheless, no such infrastructure was ever successful in allowing, in a large-scale, home users to run popular desktop applications faster, by using spare cycles in other users' machines and, in return, donate their spare cycles to run other users' applications. We present a novel application and programming model that was designed to overcome some of the barriers to the deployment of a generic peer-to-peer grid infrastructure. In particular, we want to enable a trivial deployment in such infrastructures of existing applications that are in widespread use but do not currently exploit parallelism for improved performance. The model presented in this paper revolves around the concept of a Gridlet, a semantics-aware unit of workload division and computation off-load. A gridlet is a chunk of data associated with the operations to be performed on the data, and in many cases these operations consist of unmodified application binaries. Moreover, the concept of gridlet is also employed for resource management, and accounting of peer contribution. We believe this new concept, absent in other proposals, will significantly lower the barriers for exploiting parallel execution in popular applications, thus improving the chances of the gridlet model being widely adopted.
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