一个自适应的支持资源预定的路由算法

新型的应用问题，如视屏会议、分布式模拟等需要保障质量，资源豫剧 定协议如ＲＳＶＰ等可以用来提供有保障的服务质量，介它需要有新的路由协议。为此，文中提供一种自适应的、支持资源预定的、多点通讯的路由算法，并描述了该算法的特性。     

南水北调西线工程方案优化

通过收集调研大量水文、地质、水资源、工程技术资料, 在现有研究基础上论述西线工程方案优化, 提出工程研 究面临的主要问题; 利用多指标比对法, 从西线工程调水断面下移自流方案和抽水方案入手, 通过调水河流可调水 量、环境影响、移民范围、投资费用和经济效益等指标探讨方案的优劣, 论证工程下移自流方案的可行性与优越性。 同时, 为减轻调水对生态、环境、社会等方面的影响, 分析并拟定金沙江、雅砻江、大渡河多年平均年调水总量为 170 亿 m3。研究成果可为未来工程建设决策提供重要技术依据。     

Reprint of “Robust partial-load experiments with Showstopper”

Concurrent execution of multiple applications leads to varying partial utilization of shared resources. Understanding system behavior in these conditions is essential for making concurrent execution efficient. Unfortunately, anticipating behavior of shared resources at partial utilization in complex systems is difficult, realistic experiments that reproduce and examine such behavior are therefore needed.To facilitate experiments at partial utilization, we present a tool that accurately controls the processor utilization of arbitrary concurrent workloads, either establishing constant partial load or replaying a variable load trace. We validate the ability of the tool to enforce the configured partial utilization on multiple platforms, and use the tool to collect novel information on system behavior at partial utilization levels.In detail, our experiments show how to examine the complex relationship between utilization and throughput, useful for tasks such as performance debugging or system dimensioning, and we show this relationship for the DaCapo benchmarks. Further, we show that CPU pinning (a technique used to improve workload isolation) can benefit from dynamic response to system utilization, improving system efficiency with partial utilization. Finally, we show that the overhead of virtualization also changes with partial utilization and CPU allocation.     

Myopicx sequential allocation procedures for bayesian simultaneou estimation

Observations may be taken from two populations where the simultaneous estimation of the population means is of interest. While the total number of observations, or horizon, is fixed, the observations may be taken sequentially with the decision to take an observation from one population or the other at any intermediate stage depending on past information. Such sampling schemes are called sequential allocation procedures or policies. A Bayesian exponential family distributions. For loss and prior distributions of the natural conjugate form, myopic or one—step—ahead sequential allocation procedures are derived and shown to be asymptotically optimal. Also, the asymptotic efficiency of one allocation to another is defined and then considered for the best nonrandom policy and the optimal policy.     

Multi-objective optimization models for patient allocation during a pandemic influenza outbreak

Pandemic influenza has been an important public health concern with several historical outbreaks in 1918, 1957, and 1968. During an influenza pandemic outbreak, hospitals are often overwhelmed by the surge demand of influenza patients. It is important to prepare response plans to react to a pandemic influenza outbreak. Because of the widespread effect of the disease and the increased demand on limited medical resources, collaboration among hospitals both in planning and in response is necessary. This paper focuses on patient and resource allocation among hospitals in a healthcare network. Mathematical models are built to optimize the patient allocation considering two objectives related to patients’ cost of access to healthcare services: (1) minimization of the total travel distance by patients to hospitals; and (2) minimizing the maximum distance a patient travels to a hospital. Moreover, the models help to predict a resource shortage during an outbreak; this prediction will alert decision makers to consider increasing the medical capacity or requesting additional capacity from state or national agencies. In addition, the model aids in the determination of the optimal allocation of the additional resources, when available, among hospitals by considering the above two objectives related to patients’ cost of access to services. A case study from Metro Louisville, Kentucky, is presented to demonstrate how the models would aid in patient allocation during a pandemic influenza outbreak.     

PPP项目范式选择与风险分配的关系研究

基于15个案例,分析PPP项目三种范式选择方案与风险分配之间的相关关系,结果发现:一部分项目风险的分配方案与范式选择无关,这类风险的主要特征是产生主体明确且能够防范,风险事件的发生直接针对PPP项目;另一部分项目风险分配方案与范式选择高度相关,其相关关系体现为随着范式私有化程度的提高,民间实体承担的风险也在逐渐增大,而且随着范式选择的不同,风险转移的时机和程度也有所差异,这类风险的主要特征是风险事件产生于政府或第三方,民间实体没有能力进行防范,风险损失需要在政府和民间实体之间进行分配。研究结论可为提高我国PPP项目风险分配的科学性提供指导和借鉴。     

Self-organizing method for collaboration in multi-robot system on basis of balance principle

By analyzing the operation characteristics of two subtasks that have resource dependency on each other, this paper demonstrates the impact of progress relation between the two subtasks on the whole task’s progress, and then puts forward a self-organizing principle called balance principle that keeps the individual profit between robots equal. Furthermore, an algorithm is designed for adjusting subtask selection on the basis of this principle. Simulation shows the validity of the algorithm on self-organizing task allocation in a multi-robot system. __________ Translated from Chinese Journal of Scientific Instrument, 2007, 28(2): 224–228 [译自: 仪器仪表学报]     

引黄灌区水沙资源配置关键技术的研究

引黄灌区水沙资源配置关键技术包括灌区减沙沉沙技术、引水分沙技术、渠道输水输沙技术等。通过引黄灌区引沙和沉沙资料的分析，论述了引黄灌区减沙技术和对灌区有害的粗颗粒泥沙处理技术，前者主要是通过控制引水含沙量或减少引水量来实现，后者主要是通过有害泥沙的拦截和沉积来达到。结合渠道输水输沙能力，总结了提高灌渠输沙能力的工程措施和非工程措施，前者包括加大渠道比降、渠道衬砌、改造阻水建筑物、优化断面等，后者主要是指水沙调控技术。通过分析渠道引水分沙特征，进一步探讨了引黄灌区自流灌溉和提水灌溉的特点，指出自流灌溉的支渠引水含沙量略低于或等于干渠含水量，渠道处于增淤状态；若提水泵站及其进口合理布置，将会有利于渠道减淤。     

分层采气多目标优化模型配产研究

为了对分层采气工艺的配产方法进行系统研究,首次把可同时考虑多目标、多约束条件的多目标优化配产方法应用到分层采气工艺上。结合涩北气田的实际情况,对于3层油管分采工艺,可以认为天然气从储层到井底的流动是多压力系统(相当于多井生产),从井底到井口的流动是单压力系统(相当于单井生产),以产气量最大、稳产期最长、稳产期产出程度最大作为优化目标,建立了多目标优化模型,并给出了模型求解方法。应用实例表明,分层采气多目标优化模型配产方法尽管求解过程复杂,但方法可行,结果可靠。     

Modeling the supply chain configuration problem with resource constraints

In this paper, we study the supply chain configuration problem (SCCP) under resource constraints. We present a new modeling framework based on multi-mode resource-constrained project scheduling (MRCPSP) for configuring the supply chain subject to explicit resource constraints. It establishes a bridge between the areas of project scheduling and supply chain design. Our model is also able to handle additional practical issues such as quality level requirements and general temporal constraints, which are often encountered in the real world. A constraint programming (CP) based solution approach is proposed and implemented in our case study. Conclusions and future research directions are discussed.