Pervasive Grids with Autonomic Capabilities

一个汇聚了大量异质资源的网格计算系统应该能够在没有太多人工干预的情况下持续运行。这项工作旨在开发监测和预测电网核心结构行为的技术和工具。在这种情况下，核心？结构是一个大型或广域网络，或这类网络的集合。监控过程将向电网结构中的其他层提供重要信息(流量、当前和未来可能的拥堵、故障、拓扑变化等)，以实现电网的高效和一致运行。这是网格计算中的一个重要研究问题。 因为在传统高性能计算环境中或多或少有效的传统假设在网格上被打破了。

A grid computing system that brings together a multitude of heterogonous resources able should be able to function continuously without much intervention by a human operator. This work aims at developing techniques and tools for the monitoring and prediction of the behaviour of the core structure of a grid. In this case, the ?core? structure is a large- or a wide-area network, or a collection of such networks. The monitoring process will feed into the other layers in the grid fabric important information (traffic, current and possible future congestions, failures, topological variations, etc) to enable the efficient and consistent operation of the grid. This is an important research problem in grid computing since traditional assumptions that are more or less valid in conventional high-performance computing settings break down on the Grid.