Queueing Dynamics and Maximal Throughput Scheduling in Switched Processing Systems

We study a processing system comprised of parallel queues, whose individual service rates are specified by a global service mode (configuration). The issue is how to switch the system between various possible service modes, so as to maximize its throughput and maintain stability under the most workload-intensive input traffic traces (arrival processes). Stability preserves the job inflow–outflow balance at each queue on the traffic traces. Two key families of service policies are shown to maximize throughput, under the mild condition that traffic traces have long-term average workload rates. In the first family of cone policies, the service mode is chosen based on the system backlog state belonging to a corresponding cone. Two distinct policy classes of that nature are investigated, MaxProduct and FastEmpty. In the second family of batch policies (BatchAdapt), jobs are collectively scheduled over adaptively chosen horizons, according to an asymptotically optimal, robust schedule. The issues of nonpreemptive job processing and non-negligible switching times between service modes are addressed. The analysis is extended to cover feed-forward networks of such processing systems/nodes. The approach taken unifies and generalizes prior studies, by developing a general trace-based modeling framework (sample-path approach) for addressing the queueing stability problem. It treats the queueing structure as a deterministic dynamical system and analyzes directly its evolution trajectories. It does not require any probabilistic superstructure, which is typically used in previous approaches. Probability can be superposed later to address finer performance questions (e.g., delay). The throughput maximization problem is seen to be primarily of structural nature. The developed methodology appears to have broader applicability to other queueing systems.     

Continuous-Time Controlled Markov Chains with Discounted Rewards

This paper studies denumerable state continuous-time controlled Markov chains with the discounted reward criterion and a Borel action space. The reward and transition rates are unbounded, and the reward rates are allowed to take positive or negative values. First, we present new conditions for a nonhomogeneous Q(t)-process to be regular. Then, using these conditions, we give a new set of mild hypotheses that ensure the existence of -optimal (0) stationary policies. We also present a martingale characterization of an optimal stationary policy. Our results are illustrated with controlled birth and death processes.     

Technically optimal inspection policy with arithmetical adaption

A process is considered whose quality deteriorates accordingto a constant failure intensity . As in practice it can be difficultto estimate the true value of the purpose of this paper isto present a strategy which can be applied without knowing .In order to maximize the number of conforming items per timeunit perfect inspections and renewals are performed. The lengthof the inspection interval is described by an arithmetical sequenceand changes by the time depending on perceived assignable causes.Optimal adaptive control plans provide nearly the same performanceas in the case when is known.     

基于Agent的供求关系形成策略

随着电子商务的快速发展,供应链中供求关系的形成也越来越困难,因而提出了一种形成较好供求关系的同步上升策略,给出了相应的概念和理论,并对策略进行了相关证明,这种机制能够保证在供求关系形成过程中的个体和整个供应链系统的利益.     

绿色技术创新政策的国际经验对福建的借鉴与启示

绿色技术创新是福建可持续发展的重要途径。本文首先对美国、日本和欧盟的绿色技术创新的法律政策、财政税收支持政策、绿色采购政策和教育政策等四个方面进行深入分析,并与福建进行对比分析,找出目前福建在绿色技术创新政策的不足与发展方向,希望对福建省制订和完善绿色技术创新政府以及更好地推进资源节约型和环境最好型社会的建设具有借鉴意义。     

最优投资消费问题的对偶解法

 考虑了市场中投资者信息的不对称性,用Lagrange乘数法给出了一类最优投资消费问题的对偶问题,并给出了该问题在完备市场下的最优解.对于不完备市场,讨论了最优解的存在性和唯一性.     

Optimal monotone hysteretic Markov policies in anM/M/1 queueing model with switching costs and finite time horizon

In anM/M/1 queueing model, a decision maker can choosem pairs of arrival- and service rates. He can change his action at any time epoch, a switch of action costs an amount depending on the size of the switch. Besides that there are continuously incurring costs. Over a finite time horizon, there exists an optimal monotone hysteretic Markov policy. This is shown essentially by the technique of time discretization.The work producing this article was done during a half year stay at the University of Leiden, The Netherlands, with Prof. Arie Hordijk. A technical report (a more detailled version of this article) was written there [6]. The opportunity for this stay was given by the University of Bonn, Germany, where the author, at that time, worked as scientific assistant of Prof. M. Schäl.     

食品安全的制度反思

近年来我国食品安全事故频繁发生,严重危害了人民群众的生命和身体健康。文章揭示：现行的法律法规缺乏时效性、政府部门政策执行力弱、交叉监管工作不协调,是当前我国食品安全问题的根本原因。为此建议：一要加强食品突发事件与重大事故的应急体系建设,二要改进食品安全综合监管机制,三要充分发挥新闻媒体和社会舆论的监督。     

关于我国智能运输系统ITS产业化发展方向的思考

智能运输系统（ITS）是解决我国当前交通拥挤，提高道路交通安全的有效手段。本文介绍了国外智能运输系统产生的背景、智能系统发展的历史和现状，为了合理、有效地开发智能运输系统技术并使之产业化，我国政府正在加紧制定智能运输系统发展战略。论文对我国智能运输系统产业化相关的技术和政策进行了论述，并且针对我国国情提出了智能运输系统产业化的发展目标和必须的政策与措施。     

促进中国页岩气产业发展的政策建议

 进入21世纪后,美国的页岩气取得突破,在全球范围内产生了巨大影响,使其成为世界最大的石油和天然气生产国。中国在"耽误10年"后急起直追,目前已经成为除北美外世界另一页岩气生产地区,但依然存在一些问题。本文指出目前中国发展页岩气存在的问题,如适用成套技术与装备体系不完善、矿业权管理与准入退出机制不规范、激励政策不全面、环境保护政策不规范等,并提出相应的建议。新时代高效推进供给侧结构性改革及能源生产与消费革命、促进绿色低碳发展、培育新的经济增长点,页岩气（油）将发挥重要作用,但需要全面的产业政策支持。