基于经济模型的资源代理

网格计算是为解决大规模资源密集型问题而提出的新一代计算平台，是当前并行和分布处理技术的一个发展方向，而资源管理是计算网格的关键技术之一。对各种各样可利用资源的整合和管理是网格应用的基础，而资源的分布性、动态性、异构性、自治性和需要协调一致性使得网格资源的管理调度成为一个棘手的问题。目前基于市场的经济资源管理和调度算法非常适合计算网格中的资源管理问题，但有调度价格不能更改、负载平衡等问题。文中提出了“网格环境下基于经济模型的资源代理”，依靠多维QoS指导的调度策略和经济模型的启发式调节资源价格，改进和优化计算网格资源的分配。

RESOURCE BROKER BASED ON ECONOMIC MODELS

Grid based computational infrastructure is a promising next generation computing platform for solving large-scale resource intensive problems. The management of resources and scheduling computations in the Grid environment is a key technology which uses distributed computers as single, unified computing resource. However, it is a complex undertaking as they are(geographically) distributed, heterogeneous in nature, owned by different individuals or organizations with their own policies, different access and cost models, and have dynamically varying loads and availability. The market-based economy resource management and scheduling algorithm that regulates the supply and demand for resources has become an efficient model in computational grids. Considering the fixed price model of resources pricing in current scheduler (superscheduler or metascheduler) and the weakness of load balance resource scheduling, we propose in this paper a resource broker based on economic models in grid environment to 1) better adapt to the dynamic changes of grid environment; 2) regulate resource prices for stronger load balance; 3) provide services in higher qualities.