New approach to eliminate structural redundancy in case resource pools using α mutual information

Structural redundancy elimination in case resource pools （CRP） is critical for avoiding performance bottlenecks and maintaining robust decision capabilities in cloud computing services. For these purposes, this paper proposes a novel approach to ensure redundancy elimination of a reasoning system in CRP. By using α entropy and mutual information, functional measures to eliminate redundancy of a system are developed with respect to a set of outputs. These measures help to distinguish both the optimal feature and the relations among the nodes in reasoning networks from the redundant ones with the elimination criterion. Based on the optimal feature and its harmonic weight, a model for knowledge reasoning in CRP （CRPKR） is built to complete the task of query matching, and the missing values are estimated with Bayesian networks. Moreover, the robustness of decisions is verified through parameter analyses. This approach is validated by the simulation with benchmark data sets using cloud SQL. Compared with several state-of-the-art techniques, the results show that the proposed approach has a good performance and boosts the robustness of decisions.

Collective Action in Common Pool Resource Management, Including Heterogeneity of Opportunities and Exit Options

The mechanism through which exit options and outside opportunities affect cooperation outcomes has not been well studied in the resource management literature, since a deep analysis of the concepts of “exit options” and “outside opportunities” is missing. This article analyzes these concepts across the common pool resource management literature, investigates the factors that underlie “opting out” decisions, and reviews potential ways to operationalize these concepts for empirical analysis. It also explores how the relationship of cooperation and exit options may be influenced by broad economic processes, such as economic integration.

Resource Reconstruction Algorithms for On-demand Allocation in Virtual Computing Resource Pool

Resource reconstruction algorithms are studied in this paper to solve the problem of resource on-demand allocation and improve the efficiency of resource utilization in virtual computing resource pool. Based on the idea of resource virtualization and the analysis of the resource status transition, the resource allocation process and the necessity of resource reconstruction are presented, l^esource reconstruction algorithms are designed to determine the resource reconstruction types, and it is shown that they can achieve the goal of resource on-demand allocation through three methodologies： resource combination, resource split, and resource random adjustment. The effects that the resource users have on the resource reconstruction results, the deviation between resources and requirements, and the uniformity of resource distribution are studied by three experiments. The experiments show that resource reconstruction has a close relationship with resource requirements, but it is not the same with current distribution of resources. The algorithms can complete the resource adjustment with a lower cost and form the logic resources to match the demands of resource users easily.

On the Need to Integrate Traditional Chinese and Western Medicine, and Pool Research Resources

The Chinese Academy of Sci-ences (CAS) is implementing theknowledge innovation program(KIP) on a trial basis. In my opinion,our knowledge innovation targetsshould be first of all precise and,secondly, able to boost our work. Ispecialize in hematology and mo-lecular biology. Under the

Talent Management to Support the Transformation of Human Resource

This paper discusses talent management to support Human Resource （HR） tranformation and analyzes the role and the function of Human Resource Management （HRM）, how it is expected to be in the future for any organization. The discussion about the relation between HRM, talent management/talent pool, training and development, and HR preparation for leader＇s candidates （succession） required by every organization to maintain its existence and competitive advantage, is raised in this paper, using literatures/content analyzes and descriptive explanation. Based on the analysis, HRM in the future should be involved more directly in overall people-related business process in order to support the competitive advantage of organization. The role of HRM is no longer limited to the administration, but has shii^ed into a strategic partner and change agent. Talent management can be applied to the fields of business and education in order to achieve superior performance. Appropriate talent management can be used as a strategy to improve organizational performance. Talent management application that is consistent with the goals, strategies, and values of the organization will provide a positive impact on organizational performance.

Model of Pollution Management Control in Badung River： Enhancing Role of Traditional Law on Common Resource

Badung River in the Denpasar city of Bali Province, Indonesia, faces many challenging issues recently. As a common pool resource, the river has been under pressure from many activities including household activities which dump household wastes, and pollution externalities arising from dyeing and screen-printing of fabric industries. Conventional approach to control the pollution might not be effective since it will end up in zero sum game. This paper attempts to explore the role of traditional institituion in managing common pool resource such as controlling river pollution. This research is aimed to know the effectiveness of traditional law on managing pollution of printing and dyeing industries on this big river. Survey method was used for collecting primary data and then the data was analyzed by ordinal regression to determine the effect of internal and external factors which influence the intensity of pollution. The result indicates that even though traditional might help to influence household and industry＇s decision making, it might not sufficient enough to reduce the pollution of the river. Other factors are influencing the waste management, such as level of waste management knowledge of the entrepreneur, the attitude of the entrepreneur toward public program especially on waste and pollution management, the financial support, and the education level of government supervision. Furthermore, Government of Denpasar City need to arrange policy that giving incentive to businessman who handling waste properly and also giving reward to traditional organization who implementing local wisdom and norm to control river pollution strictly.

Study on security and protection of original ecotourism resources in the mountain areas of western Guangxi

Original ecotourism resources mainly refer to natural and human original ecotourism resources, and it＇s of fragility, rarity and irreversibility. As a valuable historic heritage and hnportant tourism resources, it plays a significant role in developing tourism and economy in such areas as the underdeveloped areas, the mountain areas and mimority areas. The tourism resources in the western mountain areas of Guangxi owe ,superiorities and characteristics ＇o their original ecology, Yet, western Guangxi is an ethnic region with fragile karst eco-environment, so it is specialto exploit the tourism resources. The paper defines original eeotourism and analyses the specialties and advantages of the original ecotourism resources as well as thefrailty of the ecotourism resources of the region. The ways of thinking are put forward for safe preservation and sustainable development of the original ecotourism resources, i.e. carrying out measures for the multi-grade protection of heritage resources, setting up a ethnic eco-museum/ ethnic culture eco-park and a gene pool of ethnic cultures, etc.

Residual Resource Defragmentation Based on ECRC (Enhanced Cloud Resource Consolidating)

In cloud computing, server consolidation is the part where very few persons go through the same. By consolidating the unused server space, memory can be reused for another data allocation. The objective of this paper is to improve resource utilization. Residual resource fragmentation refers to the state of the data center where sufficient amount of residual resources are available for any new VM allocation. To achieve this, there are three methods followed here. Active physical servers are identified. Then the maximum utilization of the resources is found out. Finally the resources are allocated and scheduled using the developed algorithm. In this work, we have proposed a new algorithm enhanced cloud consolidating algorithm. This algorithm improves some of the qualities of the cloud consolidating algorithm. Here the allocation technique is based on the cost and the memory.

基于资源池视角的废弃电子产品逆向物流系统协同模型研究

废弃电子产品具有双重属性,其逆向物流网络分布范围广并且数量增长迅速。不同主体对废弃电子产品逆向物流的需求是不同的,单个的逆向物流节点很难同时满足不同需求,如何合理高效地协调各个逆向物流节点的资源,以满足各个逆向物流任务是亟待解决的重要问题。在数字技术的支持下,逆向物流信息协同领域得到丰富和完善,针对传统模式中废弃电子产品回收处理过程存在的资源利用率低、浪费严重等情况,将整个逆向物流网络看作资源池,采用智能体(Agent)处理功能网络的任务迁移模式代替传统方法中大量的数据迁移模式,构建了基于多智能体(Multi-Agent)的废弃电子产品逆向物流系统资源协同模型,最后仿真结果验证了所建模型的有效性和可行性,为废弃电子产品逆向物流系统的资源调度分配提供了新的解决方案。

六种冬青属苦丁茶叶片中绿原酸含量的RP-HPLC分析

采用超声提取和RP-HPLC法分析了6种冬青属苦丁茶新干燥的功能叶及苦丁茶冬青植物在不同发育阶段、不同地域、野生与栽培材料、不同存放时间下功能叶中的绿原酸含量。结果表明,不同样品材料中的绿原酸含量由大到小排序依次为苦丁茶冬青、霍山冬青、大叶冬青、五棱苦丁茶、华中枸骨、枸骨;新干燥的成熟叶样品在室温下存放2个月后绿原酸的含量显著下降;在野生的苦丁茶冬青叶片不同发育阶段中,一般是以老叶样品中的绿原酸含量高;野生苦丁茶冬青植株叶片中绿原酸的含量要高于栽培植株叶片中绿原酸的含量。6种冬青属苦丁茶叶片样品中的绿原酸含量存在较大的种间差异。

基于三导模式的“电磁场与电磁波”教学实践

如何将“课程思政和工程教育认证”两大要素融入课程教学中是每一门工程类课程教学必须思考的问题。在对“电磁场与电磁波”课程的特点、学情特点进行了分析后,提出了“围绕立德树人、面向工程应用、夯实理论基础、强化逻辑思维”的课程教学理念,经过三年翻转课程教学实践,形成了“引导、指导、督导”三导教学模式,为其他相关课程的教学改革提供了参考。

基于OpenVPX标准的异构融合处理模块软硬件协同设计研究

随着计算机软硬件技术的持续进步,机载计算平台集成的任务功能日益增多,导致平台内部的计算需求在规模和复杂性上不断攀升。面对智能化应用的迅猛增长,传统的单一处理器架构已不足以应对多样化的复杂任务。为此,基于OpenVPX标准,定义并设计了一种符合硬件开放式架构的3U异构融合处理模块,以适应多种复杂任务的需求。文中还提出了一种异构计算资源池化技术,旨在实现多类型任务应用的快速部署和高效运行,同时降低通信延迟,显著提升计算平台的处理能力和适用性。最后进行了实验验证,结果表明与多CPU架构相比,文中所设计的异构融合处理模块在执行特定神经网络算法时,处理时间缩短了约4.8倍,证明了其在性能上的显著提升。该研究成果不仅展示了异构融合处理模块在机载智能计算应用中的显著性能优势,而且为航空计算平台的未来发展提供了创新的解决方案和技术支持。

离散制造业数字化场景资源池建设研究

离散制造业主体多、总量大且民生关联度高,在我国经济体系中占据着重要位置[1]。离散行业数字化场景资源池的建设,能够促进离散行业数字化场景信息的梳理与整合、场景资源共享与交流、服务商及企业的培育与发展,从而推动离散行业数字化转型高质量发展。以“如何建设离散行业数字化场景资源池”为出发点,回答了离散行业数字化场景资源池“是什么”“为什么”“有什么”“怎么建”等问题。

省级气象基础设施资源池智能运维关键技术研究与应用

随着虚拟化、分布式计算等技术的快速发展以及基于资源利用率的提升需求,企业或单位大多采取部署多套基础设施资源池以支持复杂多样的业务场景。为了解决省级气象基础设施资源池在持续建设中出现的资源池分散、异构,缺乏统一监控、在线审批、统计分析等问题,文章从业务实际需求出发,基于Golang语言、Gin框架、VUE前端框架和MYSQL数据库进行开发,开展针对资源池在线审批、统一监控、统计分析等功能的研究,设计了一个省级气象基础设施资源池智能运维平台。该平台可助力资源池的审批决策,提高省级资源池的利用效率,为用户提供更加优质、高效的资源池服务。

基于虚拟化的GPU异构资源池平台架构设计、关键技术及应用研究

人工智能算力资源面临价格高昂、市场断供等现状问题,传统的单卡单用模式导致资源利用率和使用效率低下,现有的技术研究手段难以支撑多元异构图形处理单元(graphics processing unit,GPU)资源的高效管理和调度。基于此,提出一种基于虚拟化的GPU异构资源池平台,首先对平台总体架构、逻辑架构和功能架构进行了规划设计;其次,对关键技术进行研究,提出了虚拟化异构GPU资源池框架和基于时间切片+负载均衡的调度模型;最后,基于所提方法,提出了多业务单卡叠加、交叉拉远、跨机整合、混合部署和时分复用等多种创新应用模式。所提方法为企业级AI应用提供了可兼容多个GPU不同厂商、支持远程访问、可灵活切分和聚合、可弹性调度的GPU算力资源。经测算分析,同等开发和训练量下,GPU卡数量可节省60%、运行效率可提升4倍。

跨域LVC多模态试验资源动态调度方法

针对网络信息体系联合试验环境下,试验资源种类多、互连与联合组织运用困难等特点,提出了一种跨域多模态试验资源动态调度方法。首先,构建试验资源抽象模型,提取试验资源特征关键信息,形成其统一规范化描述;然后,提出了试验资源池化管理方法,以实现试验资源信息统一发布和共享;最后,提出了试验资源调度框架,能够依据试验任务和资源池状态,快速调度试验资源。该方法可实现试验资源的按需快速灵活调度,可支持联合试验环境的敏捷快速构建。

面向密码资源池的单任务高性能通信调度技术研究与实现

密码技术是保障网络与信息安全的核心技术和基础支撑。在云计算、大数据等新领域场景下,一般通过“密码资源池化”机制为密码应用提供按需分配及弹性扩展的密码服务功能。分组算法和杂凑算法的数据分组间存在依赖关系,只能进行串行密码运算,密码资源池较传统直连密码设备的服务模式,增加了一层网络通信调度开销,导致密码服务耗时显著增加。基于此,设计一种针对密码资源服务系统的动态网络通信调度机制和异步服务框架,实现网络通信与密码运算并行操作,缩短通信调度时延。结果表明,相较于直连密码设备,大包数据的性能损耗可以控制在10%以内。

基于公安移动信息网的云会商系统设计及应用

探讨基于公安移动信息网的云会商系统设计及应用。首先介绍云会商系统的概况,其次详细阐述云会商系统的设计,包括系统架构、组成、功能、安全和可靠性等方面的设计;再次,介绍云会商系统的关键技术,包括云化虚拟化技术、多点控制单元(Multipoint Control Unit,MCU)资源池化、会话初始协议(Session Initiation Protocol,SIP)和可伸缩视频编码(Scalable Video Coding,SVC)多流转发等;最后,探讨云会商系统的应用场景。

认知负荷理论视角下课程思政教学实践探析——以研究生比较文学课程为例

课程思政教育是我国高等教育不可或缺的一环,学界鲜有探讨认知负荷理论视角下课程思政的问题。笔者立足于研究生比较文学原理课程思政实践,针对其中出现的认知负荷问题,从教学临场情感投入、建立思政和专业知识相结合的资源库、前期输入思政知识和学习通自主学习专业知识等方面提出解决策略,以减少学生的认知负荷、提高学生的内在认知负荷和扩展元认知负荷,从而使比较文学课程思政教学有效开展,促进学生专业知识和思政元素的全面接受,并为研究生课程思政从认知心理方面探索提供有效途径和借鉴。

电信运营商边缘云建设经验分享

企业上云、IT上云业务蓬勃发展,电信运营商凭借公有云、网络、数据中心及运维优势大力推进边缘云建设。从分析边缘云承载业务功能、系统架构、网络架构入手,给出边缘云资源池计算资源、存储资源以及网络资源测算配置模型,并根据实际案例提供配置方案,为边缘云建设提供参考。