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Research Planning Grant: Adaptive Performability Management

Research Planning Grant: Adaptive Performability Management
研究规划补助金:适应性绩效管理
批准号:
9308912
负责人:
Ann Tai
金额:
$3.47万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1993
资助国家:
美国
项目状态:
已结题
起止时间:
1993-08-01 至 1994-07-31

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中文摘要
翻译
9308912 TAI在许多性能和可靠性都很重要的实时分布式系统中,影响系统本身及其环境中这两个属性的条件可能会动态变化。为了保证高性能的可靠计算,计算机/通信系统的运行策略和要求必须做出相应的调整。该研究研究了自适应可执行性管理(可执行性是性能和可靠性的组合度量),以通过基于运行时模型的决策来同时确保性能和可靠性目标。该方法将为计算机系统提供基于基础可执行性模型来确定其是否实现其性能和可靠性目标的能力。如果没有,它将选择另一种战略。这项研究的目的是调查可执行性概念和建模技术在对象系统运行时的实用性,并调查由此产生的方法学在确保高性能可靠计算方面的有效性。因此,重点将集中在:1)强调性能、可靠性和其他关键属性之间的权衡并促进自适应可执行性管理的模型构建方法,2)足够有效地支持运行时决策的模型求解方法,以及3)评估自适应可执行性管理方案的有效性的方法。***
英文摘要
9308912 Tai In many real-time distributed systems where both performance and dependability are critical, the conditions affecting these two attributes in the system itself as well as its environment may change dynamically. In order to assure high performance dependable computing, a computer/communication system's operational strategies and requirements have to be adjusted responsively. The research studies adaptive performability management (performability is a combined measure of performance and dependability) for assuring performance and dependability goals simultaneously via run-time model-based decision making. The method will provide a computer system with the capability to determine, based on the underlying performability model, whether it achieves its performance and dependability goals. If not, it will select an alternative strategy. The objectives of this research are to investigate the utility of performability concepts and modeling techniques when the object system is in operation, and to investigate the effectiveness of the resulting methodology in assuring high performance dependable computing. Accordingly, the focus will be on: 1) methods of model construction which stress the tradeoffs among performance, dependability and other critical attributes and facilitate adaptive performability management, 2) methods of model solution which are sufficiently efficient to support run-time decision making, and 3) methods for evaluating the effectiveness of an adaptive performability management scheme. ***
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