ATM业务流控制的一些有效方法

文章叙述了实现ATM业务流控制的一些可行的方法，即应用模糊控制技术来控制呼叫路由，用神经网络技术来预测输入业务流实现动态带宽分配控制、以及用神经网络技术实现业务呼叫的带宽分配控制。     

Seeking the truth about ad hoc join costs

In this paper, we re-examine the results of prior work on methods for computing ad hoc joins. We develop a detailed cost model for predicting join algorithm performance, and we use the model to develop cost formulas for the major ad hoc join methods found in the relational database literature. We show that various pieces of “common wisdom” about join algorithm performance fail to hold up when analyzed carefully, and we use our detailed cost model to derive op timal buffer allocation schemes for each of the join methods examined here. We show that optimizing their buffer allocations can lead to large performance improvements, e.g., as much as a 400% improvement in some cases. We also validate our cost model's predictions by measuring an actual implementation of each join algorithm considered. The results of this work should be directly useful to implementors of relational query optimizers and query processing systems. Edited by M. Adiba. Received May 1993 / Accepted April 1996     

浅谈现代化企业的质量特征与管理

在概述现代企业的质量特征与管理的基础上 ,就搞好企业管理工作 ,创造企业高效益的主要经验进行论述 ,为进一步提高企业经济效益     

三峡-葛洲坝梯级电站水能优化利用效益分析

三峡——葛洲坝梯级电站是我国的巨型水电站，控制水量接近长江总水量的一半，电站的水能优化利用对充分利用长江流域水资源、提高电站发电效益至关重要。根据长江上游流域来水特性及梯级枢纽的运行特点．对梯级电站在三峡工程围堰发电期的水能优化利用途径、取得的发电效益及初期运行期梯级电站水能优化利用的潜力进行了系统分析。有利于提高电站的发电效益。     

水资源开发使用权出让价格实证分析

2001年浙江省率先利用市场机制配置水资源，经过近6年的实践，已经积累了一些数据，取得了较好的成效。为此，利用浙江省三个县（市）水资源开发权市场拍卖价格，来研究水资源开发权转让价格与相关要素之间的相关性和进行线性回归分析。通过分析，验证了水权出让价格与各有关因素之间的关系，同时指明了水资源市场化配置的良好态势。     

抽水蓄能电站备用效益研究综述

随着电力体制改革及电力系统的不断完善,抽水蓄能电站在电力系统中的动态作用越来越显著,但如果其动态作用体现的价值得不到合理的收益,将严重影响抽水蓄能电站自身的财务生存能力。通过对抽水蓄能电站动态效益的主要组成部分——备用效益进行的研究,对抽水蓄能电站承担备用容量的特点以及备用效益的研究现状、量化理论及方法进行的综合分析,为抽水蓄能电站动态效益的合理量化提供了参考依据。     

山东省水资源配置思路浅析

山东省总体上属于资源性缺水省份，合理配置水资源已成为解决水资源供需矛盾、保障经济社会可持续发展的关键问题之一。通过对山东省水资源的基本特点进行分析，建立了水资源合理配置系统模型及生成配置方案，在供需平衡分析的基础上，提出了水资源合理配置的基本思路。     

网络计划之实践

通过对所参与工程的实践体会。介绍网络计划技术在旧厂改造工程中的重要作用和几种主要管理方法。     

An accurate and practical buffer allocation model for the buffer cache based on marginal gains

A new dynamic buffer allocation strategy based on the notion of marginal gains is presented for the buffer cache that is used by the operating system to store frequently accessed disk blocks in main memory, and the performance of the proposed strategy is compared with those of previous allocation strategies. In the proposed strategy, marginal gain values are predicted by exploiting functions that approximate the expected number of buffer hits per unit time. Experimental results from both trace-driven simulation and an actual implementation in the FreeBSD operating system show that the proposed strategy accurately predicts the marginal gain values for various workloads resulting in significantly improved buffer hit ratios.     

Proactive resource allocation for asynchronous real-time distributed systems in the presence of processor failures

We present two proactive resource allocation algorithms, RBA^*-FT and OBA-FT, for fault-tolerant asynchronous real-time distributed systems. The algorithms consider an application model where task timeliness is specified by Jensen's benefit functions and the anticipated application workload during future time intervals is described by adaptation functions. In addition, we assume that reliability functions of processors are available a priori. Given these models, our objective is to maximize aggregate task benefit and minimize aggregate missed deadline ratio in the presence of processor failures. Since determining the optimal solution is computationally intractable, the algorithms heuristically compute sub-optimal resource allocations, but in polynomial time. Experimental results reveal that RBA^*-FT and OBA-FT outperform their non-fault-tolerant counterparts in the presence of processor failures. Furthermore, RBA^*-FT performs better than OBA-FT, although OBA-FT incurs better worst-case and amortized computational costs. Finally, we observe that both algorithms robustly withstand errors in the estimation of anticipated failures.