Resource management and job scheduling of China earthquake grid experiment system: Construction of resource management and job dynamic scheduling model ProRMJS

Grid technique is taken as the third generation internet technology and resource management is the core of it. Aiming at the problems of resource management of CEDAGrid （China Earthquake Disaster Alleviation and Simulation Grid） in its preliminary construction, this paper presents a resource management and job scheduling model： ProRMJS to solve these problems. For platform supposed agreeably each computing node can provide computation service, ProRMJS uses ＂computation pool＂ to support scheduler, and then the scheduler allocates jobs dynamically according to computing capability and status of each node to ensure the stability of the platform. At the same time, ProRMJS monitors the status of job on each node and sets a time threshold to manage the job scheduling. By estimating the computing capability of each node, ProRMJS allocates jobs on demand to solve the problem of supposing each node can finish the job acquiescently. When calculating the computing capability of each node, ProRMJS allows for the various factors that affect the computing capability and then the efficiency of the platform is improved. Finally the validity of the model is verified by an example.

Optimal Resource Allocation and Quality of Service Prediction in Cloud

In the present scenario,cloud computing service provides on-request access to a collection of resources available in remote system that can be shared by numerous clients.Resources are in self-administration;consequently,clients can adjust their usage according to their requirements.Resource usage is estimated and clients can pay according to their utilization.In literature,the existing method describes the usage of various hardware assets.Quality of Service(QoS)needs to be considered for ascertaining the schedule and the access of resources.Adhering with the security arrangement,any additional code is forbidden to ensure the usage of resources complying with QoS.Thus,all monitoring must be done from the hypervisor.To overcome the issues,Robust Resource Allocation and Utilization(RRAU)approach is developed for optimizing the management of its cloud resources.The work hosts a numerous virtual assets which could be expected under the circumstances and it enforces a controlled degree of QoS.The asset assignment calculation is heuristic,which is based on experimental evaluations,RRAU approach with J48 prediction model reduces Job Completion Time(JCT)by 4.75 s,Make Span(MS)6.25,and Monetary Cost(MC)4.25 for 15,25,35 and 45 resources are compared to the conventional methodologies in cloud environment.

A Hybrid Offline-Online Approach to Adaptive Downlink Resource Allocation Over LTE

Radio resource management mechanisms in current and future wireless networks is expected to face an enormous challenge due to the ever increasing demand for bandwidth and latency sensitive applications on mobile devices. This is because an optimal resource allocation scheme which attempts to multiplex the available bandwidth in order to maximize Quality of service(QoS), will pose an exponential computational burden at eNodeB. In order to minimize such computational overhead, this work proposes a hybrid offline-online resource allocation strategy which effectively allocates all the available resources among flows such that their QoS requirements are satisfied. The flows are firstly classified into priority buckets based on real-time criticality factors. During the offline phase, the scheduler attempts to maintain the system load within a pre-specified safe threshold value by selecting an appropriate number of buckets. This offline selection procedure makes use of supervisory control theory of discrete event systems to synthesize an offline scheduler. Next, we have devised an online resource allocation strategy which runs on top of the offline policy and attempts to minimize the impact of the inherent variability in wireless networks. Simulation results show that the proposed scheduling framework is able to provide satisfactory QoS to all end users in most practical scenarios.

A Generic Service Architecture for Secure Ubiquitous Computing Systems

The development of ubiquitous computing systems benefits tremendously from the service-oriented computing concept in seamless interoperation of heterogeneous devices. However, architectures, services interfaces and network implementation of the existing service-oriented systems differ case by case. Furthermore, many systems lack the capability of being applied to resource constrained devices, for example, sensors. Therefore, we propose a standardized approach to present a service to the network and to access a networked service, which can be adopted by arbitrary types of devices. In this approach, services are specified and exposed through a set of standardized interfaces. Moreover, a virtual community concept is introduced to determine a secure boundary within which services can be freely discovered, accessed and composed into applications;a hierarchical management scheme is presented which enables the third party management of services and their underlying resources. In this way, application control logic goes into the network and environment context is dealt with intelligently by the system. A prototype system is developed to validate our ideas. Results show the feasibility of this open distributed system software architecture.

Priority-Based Resource Allocation for Downlink OFDMA Systems Supporting RT and NRT Traffics

Efficient radio resource management is essential in Quality-of-Service (QoS) provisioning for wireless communication networks. In this paper, we propose a novel priority-based packet scheduling algorithm for downlink OFDMA systems. The proposed algorithm is designed to support heterogeneous applications consisting of both real-time (RT) and non-real-time (NRT) traffics with the objective to increase the spectrum efficiency while satisfying diverse QoS requirements. It tightly couples the subchannel allocation and packet scheduling together through an integrated cross-layer approach in which each packet is assigned a priority value based on both the instantaneous channel conditions as well as the QoS constraints. An efficient suboptimal heuristic algorithm is proposed to reduce the computational complexity with marginal performance degradation compared to the optimal solution. Simulation results show that the proposed algorithm can significantly improve the system performance in terms of high spectral efficiency and low outage probability compared to conventional packet scheduling algorithms, thus is very suitable for the downlink of current OFDMA systems.

江苏省148家社区卫生服务中心护理质量管理现状调查与分析

目的调查江苏省社区卫生服务中心护理质量管理现状,为护理质量提升提供参考。方法便利选取江苏省148家社区卫生服务中心为研究对象,对其护理质量管理现状进行问卷调查。结果148家社区卫生服务中心床护比在1:0.06~1:2.25之间,74家机构无专科护士,7家机构无高级职称护士。5家机构组织架构为一级质控,125家机构已成立护理质量与安全管理委员会,141家机构建立了护理质量管理制度,124家机构制订了护理质控标准,所有机构均成立了护理质量督查组,督查频率以每月一次为主(占比51.35%)。13.51%的机构上级卫生行政部门未成立基层医疗卫生机构护理质控中心,91.89%的机构上级卫生行政部门开展了护理质量专项督查,督查频率以每季度一次为主(占比58.78%)。结论江苏省148家社区卫生服务中心护理人力资源配置不足,护理质量管理组织体系有待健全,上级卫生行政部门监管有待加强。

面向多应用混部的性能保障方法综述

数据中心的高投入和低资源利用率一直是云服务提供商关注的问题.面对这个难题,直接的解决方案是在同等资源上混合部署更多的应用以提高资源使用效率.然而,由于混部应用对共享资源的竞争导致了应用间的性能干扰,从而影响了应用的性能、服务质量(quality of service,QoS)和用户满意度,因此如何保障应用的性能已成为混部场景下的关键问题.着重从应用和集群特征分析(基础)、干扰检测(前提)、单节点资源分配(微观层面策略)和集群作业调度(宏观层面策略)4个方面阐述多应用混部性能保障的相关背景、挑战和关键技术.在不同的混部场景下,由于应用和集群特征等不同,性能保障工作所面临的挑战和问题复杂度也各异,例如单位资源上混合部署的应用数量会直接影响到搜索资源空间的时间开销,应用的运行方式会影响到共享资源的竞争强度.因此,从问题复杂度角度出发,从应用和集群特征、资源干扰维度和混部应用个数3个维度对相关研究工作面临的挑战进行讨论和分析.探讨了面向高密度混部场景应用性能保障方法的发展方向和挑战,认为全栈式的软硬件协同方法是保障高密度混部下应用性能的趋势,该方法有助于全面地提升应用性能的可靠性和数据中心的资源利用率.

基于gridport的计算服务网格门户的设计与实现

为了充分利用部署在网格系统中的计算服务,增加用户使用网格资源的透明度,设计了基于Gridport的计算服务网格门户(CSGP)。应用Globus的Pre-WS GRAM技术和Gridport网格门户开发工具包实现了作业提交、作业运行状态查询和网格资源监控等功能。实验测试表明CSGP能够为用户提供良好的计算服务接口,并改善计算任务的执行效率。

信息化管理对卫生事业规划工作的影响和管理效果

卫生事业规划工作作为我国医疗机构重要部分,直接关系群众的身体健康和生活质量。在科技日新月异的今天,信息化已经成为卫生事业提高管理效率、提升工作服务质量的重要工具。凭借现代信息技术对卫生事业业务进行信息采集、处理、存储、传输和应用,将现代信息技术与卫生业务相结合,使卫生事业规划工作更智能、更便捷。然而,随着疾病种类多样化和医疗技术的快速发展,卫生事业规划工作也存在一系列的问题。文章探讨信息化管理对卫生事业规划工作的影响以及目前面临的问题,进一步分析相应的策略及管理效果、信息化管理对卫生事业规划工作的影响,助力卫生事业规划工作的良性发展。

Agent域的Web Services资源管理模型

Web网格是一个新的研究领域,网格环境相对于一般网络环境有着更为复杂的特征,实现有效的网格计算还有很多需要解决的问题。在网格环境里如何有效地管理Web Services资源是影响网格计算是否成功的最重要因素之一。本文通过分析Web网格资源管理的现状以及目前Web网格资源管理技术中的不足之处,提出了基于Agent域的Web Services管理模型。

云计算下电子档案管理模式探讨

在新一代信息技术飞速发展下,大数据、云计算、泛在物联网广泛应用于相关行业中。将云计算应用在档案管理中,可实现传统档案管理的数字化和智能化,提高档案管理的效率和质量。基于此,本文简述了云计算电子档案内容,分析了档案信息化管理现状和云计算电子档案管理的路径,旨在为电子档案管理提供指导。

CROWN:A service grid middleware with trust management mechanism

Based on a proposed Web service-based grid architecture, a service grid middleware system called CROWN is designed in this paper. As the two kernel points of the middleware, the overlay-based distributed grid resource management mechanism is proposed, and the policy-based distributed access control mechanism with the capability of automatic negotiation of the access control policy and trust management and negotiation is also discussed in this paper. Experience of CROWN testbed deployment and application development shows that the middleware can support the typical scenarios such as computing-intensive applications, data-intensive applications and mass information processing applications.

基于预期容量损失的OFDMA子载波分配算法

针对正交频分多址接入(OFDMA)系统的子载波分配问题,提出了一种基于预期容量损失的分配算法,该算法将子载波的联合分配分解为逐次分配以降低复杂度。每次分配时,该算法利用多用户频率选择性信道的特性,将用户在不同子载波上的速率差值作为每次分配中预期容量损失的度量,优先对预期容量损失最大的用户分配子载波,以期避免由逐次分配的非最优性导致的系统容量损失。理论分析和仿真结果表明,此算法能够在低复杂度的条件下得到近似最优解,在保证用户服务质量的同时,有效地提高了系统容量。

Cooperative wireless networks for better green services

In order to guarantee the overall return on investment (ROI), improve user experience and quality of service (QoS), save energy, reduce electra magnetic interference (EMI) and radiation pollution, and enable the sustainable deployment of new profitable applications and services in heterogeneous wireless networks coexistence reality, this paper proposes a cross-network cooperation mechanism to effectively share network resources and infrastructures, and then adaptively control and match multi-network energy distribution characteristics according to actual user/service requirements in different geographic areas. Some idle or lightly-loaded base stations (BS or BSs) will be temporally turned off for saving energy and reducing EMI. Initial simulation results show that the proposed approach can significantly improve the overall energy efficiency and QoS performance across multiple cooperative wireless networks.

面向空天地一体化信息网络的边缘计算资源融合管理方法

随着空天地一体化信息网络的建设与发展,无线网络的全球无缝覆盖与泛在的人工智能成为了可能.卫星与无人机作为天基边缘计算节点,辅助地面设备完成各项任务,成为6G网络中的重要应用场景.当前针对卫星、无人机边缘计算的研究处于起步阶段,这些研究在边缘计算服务模式及实际应用方面仍有待进一步深入.单个卫星或无人机的计算能力薄弱,通常难于独立提供较复杂的数据处理服务.现有资源管理算法通常需要多轮博弈才能收敛,难于满足空天地一体化场景中资源管理方法快速收敛的需求.针对以上挑战,本文在天算星座边缘计算服务场景基础上,对空天地一体化网络中天基资源的服务模式进行了分析,提出了组合及聚合两种计算服务融合方式.本文将天基边缘计算资源的管理建模为两阶段的斯坦科尔伯格博弈模型,提出了分布式混合动态迭代算法与分布式分组动态迭代算法,加快了博弈过程的收敛速度.本文基于分布式场景构建了仿真实验,并在典型参数设置下对算法性能进行了分析.仿真实验结果表明:在两种不同服务模式下,本文提出的方法能够使空中边缘计算节点与用户设备获得最大收益;相比近年相关研究,本文所提方法的收敛时间能够缩短60%以上.

城市网格化综合管理服务的云边端协同计算框架

为解决传统端云计算框架在城市管理服务的难计算和不及时问题,本文提出一套面向城市网格化综合管理服务的云边端协同计算框架。该框架通过构建城市综合管理服务业务分类模型、设计协同计算框架结构和智能适配过程,系统性结合云边端的处理优势与城市网格化管理模式。在装备端完成数据分级,在边缘侧实现模型处理,在云中心完成数据存储和复杂分析,从而实现城市管理服务快速处理、及时响应的目的。最后以武汉市东湖高新区为研究区域,基于本框架开展城市环境污染监测实验。结果显示,相比传统端云计算框架,本文所提云边端协同计算框架在计算性能和处理效率上均有较大优势,表明在城市网格化综合管理服务上具有良好应用前景。

学生用户对高校图书馆管理服务的满意度及其影响因素

了解学生对高校图书馆管理服务的满意度是检验和提高高校图书馆管理服务质量的必要前提。采用问卷调查形式,并借助SPSS27.0软件分析学生用户对高校图书馆管理服务的满意度及其影响因素分析结果表明,学生对高校图书馆管理服务及其空间环境管理服务、资源获取管理服务、馆员管理服务维度的满意度均处于中等偏上水平,但馆员管理服务还有待进一步提升。高校图书馆应以学生用户的需求为导向,多途径提升馆员服务的专业性、可靠性。应整合资源,制定满足不同专业、不同年级学生需求的图书馆管理方案,以此推动高校图书馆管理服务的快速发展。

A Model of Grid Service Capacity

Computational grids （CGs） are large scale networks of geographically distributed aggregates of resource clusters that may be contributed by distinct organizations for the provision of computing services such as model simulation, compute cycle and data mining. Traditionally, the decision-making strategies underlying the grid management mechanisms rely on the physical view of the grid resource model. This entails the need for complex multi-dimensional search strategies and a considerable level of resource state information exchange between the grid management domains. In this paper we argue that with the adoption of service oriented grid architectures, a logical service-oriented view of the resource model provides a more appropriate level of abstraction to express the grid capacity to handle incoming service requests. In this respect, we propose a quantification model of the aggregated service capacity of the hosting environment that is updated based on the monitored state of the various environmental resources required by the hosted services. A comparative experimental validation of the model shows its performance towards enabling an adequate exploitation of provisioned services.

探析大型赛事云计算服务之云资源管理——以杭州亚运会为例

国内外大型赛事通常云计算服务,其中杭州亚运会也采用了云计算服务。在云资源创新管理上,杭州亚运会基于云资源管理的模型,针对云资源管理模型进行科学规划,发挥云原生能力提高信息系统可伸缩性、可复制性、快速恢复性、安全性,构建云平台强大的云计算能力为亚运(亚残)信息系统提供业务高效运行,顺利支撑杭州亚运会赛事管理类、赛事成绩类、赛事支持类所有信息系统。

浅析DRGs对医疗机构医保管理模式的影响

目前我国医院管理水平仍需要不断提升,以此来提高资源利用率,合理控制成本,完善管理体系。近些年,我国医院及相关机构都在积极研究和探索医院管理水平的新方式,可以满足人民群众对公共卫生服务质量的要求,提升医院在市场竞争中的地位。疾病诊断分组(diagnosis related groups,DRGs)可以促使医院服务质量、工作绩效、安全性等内容的考核变得更加具体、有序。但是在医疗改革不断深化的背景下,要想更好地应用DRGs模式,并取得显著的应用效果,则需要快速转变观念,以便更好地适应新的模式。本文就DRGs对医疗机构医保管理模式产生的影响进行深入的分析,并提出有效地解决措施,希望可以有效提高未来医疗资源的使用效率,降低医院床位数,推动其健康稳定的发展。