Performance evaluation studies for time-sharing computer systems

This paper reviews the work carried out in evaluating the performance of time-sharing computer systems in terms of performance measures such as response time, CPU efficiency. CPU productivity, etc. The review indicates that most of the work is limited to processor-sharing systems in which the quantum size tends to zero. Models with finite state-dependent quantum size needs to be developed further to be useful for system designers and operations managers of time-sharing systems. Other areas requiring further analytical work have been highlighted at the end of the paper.     

在共享环境下基于时间预测的资源预留

资源预留是实现网格作业服务质量保证的重要方法.主要针对共享环境中引入资源预留后导致排队任务平均等待时间剧增的问题,提出了一种基于等待时间预测的资源预留,其中排队任务分为远程任务和本地任务,引入优先级策略,预洲不同优先级等待时间来计算花费,基于花费选择资源进行预留.实验结果显示预测相对误差和基于花费的调度算法都具有有效性和实际的潜力.