CAREER: Mechanisms for Resource Sharing in Collaborative High-End Computing Platforms

在协调控制下，对地理上分布的高端计算资源的分散池进行联合共享，被广泛认为是构建和执行下一代分布式高性能应用程序的一种很有前途的范例。然而，跨多个管理域参与对等体的自治、异构和分散特性带来了两个挑战。其中一个挑战是有效的分散资源管理，包括引入激励同行提供良好服务，在不同情况下自适应资源共享和最佳资源分配。另一个挑战是有效的系统管理，包括自我防御的系统管理和用户友好的管理界面。高效的系统管理使系统易于维护和使用，降低系统管理成本，这对于大型系统来说是极其重要的。本文认为资源共享的根本问题是资源交易的可靠机制。在这种交易机制下，很容易构建多个高级资源管理服务，如服务水平协议、最优资源协同分配、提前预约以及动态适应和重新配置。本研究由四个部分组成：(1)一个自适应的、个性化的信任模型aPET，用于个体对等体的可信度推导；(2)基于信任的经济模型M-CUBE，有效表达资源，为资源配置和管理提供有力基础；(3)跨多个站点的高效资源配置方案，并研究aPET提供的可信度对资源配置方案的影响；(4)运用所提出的信任和经济模型来提供有效的系统管理。这项研究预计将作为一个基本组成部分，并具有非凡的潜力，可以被几个高端计算社区部署和采用，这些社区需要地理分布资源的协作。

Federated sharing of dispersed pools of geographically distributed high-end computing resources under coordinated control is widely recognized as a promising paradigm for building and executing next generation distributed high performance applications. However, the autonomous, heterogeneous and decentralized nature of participating peers across multiple administrative domains introduces two challenges.One challenge is effective decentralized resource management, which includes introducing incentives for peers to provide good services, self-adaptive resource sharing in different situations and optimal resource allocation. The other challenge is efficient system management, which includes self-defensive system management and user friendly management interfaces. Efficient system management makes the system easy to maintain and use and reduces the system management cost, which is extremely important for large scale systems.This investigator conjectures that the fundamental problem of resource sharing is a dependable mechanism for resource trading. Given this trading mechanism, it is easy to build several high level resource management services, such as service level agreements, optimal resource co-allocation, advance reservation, and dynamic adaptation and reconfiguration. This research consists of four components: (1) An adaptive, personalized trust model named aPET to be employed by individual peers for trustworthiness derivation; (2) A trust-based economic model M-CUBE to efficiently express resources thus to provide a powerful foundation for resource allocation and management; (3) Efficient resource allocation scheme across multiple sites and investigating the impact of trustworthiness provided by aPET on resource allocation schemes; and (4) Applying the proposed trust and economic models to provide efficient system management. The research is expected to serve as a fundamental component and has the extraordinary potential to be deployed and adopted by several high-end computing communities, which require collaboration of geographically distributed resources.