基于混合组合双向拍卖的网格资源分配方案

针对组合双向拍卖中节点或实体在单次拍卖中分别扮演资源提供者和资源需求者时所具有的不同特点,提出了混合组合双向拍卖模式,即在拍卖中节点本身不单是资源提供者同样也是资源需求者。在此前提下,结合信任度在资源分配安全性以及服务质量方面的作用,将信任度引入到定价调整中,从而优化资源的分配。仿真实验结果表明,所提出的资源分配方法在提高拍卖效率和单位效用正向激励以及防止恶意节点方面均优于已有方案。     

基于企业生命周期的人力资源经理角色分析

文章从企业生命周期的角度,探讨了人力资源经理在不同阶段主要扮演的角色,为企业选拔和培训人力资源经理提供新的视角。将企业生命周期分为创业期、成长期、成熟期和衰退期四个阶段,依据企业生命周期不同阶段的特点及人力资源管理的策略,得出人力资源经理在不同阶段分别主要扮演战略合作伙伴、HRM专家、员工激励者、变革推动者的角色。     

Petri网在ERP实施中业务流程建模的应用

对企业在实施ERP中的业务流程优化问题,提出了一种基于Petri网的业务流程优化和配置方法.首先分析ERP实施中的业务流程建模,指出采用Petri网建模的适用性.其次运用Petri网对流程给出形式化定义,提出优化规则,探讨基于Petri网的流程模型在ERP软件中的实现.最后结合某企业实施用友ERP的过程进行实例分析.     

ERP环境下油田内审工作面临的困难和对策

企业ERP管理系统的运用,决定了油田内审工作的发展方向。阐述了ERP管理系统对油田内部审计工作的影响,分析了在ERP环境下油田内部审计工作面临的困难及其原因,提出了ERP环境下油田内部审计工作对应之策。     

无服务器平台资源调度综述

无服务器(Serverless)计算正成为部署云应用程序的一种具有广阔发展前景的范式。其实现了一种真正的现收现付的计费方式,并且不会浪费资源。开发人员无需担心计算平台的底层细节,只需在处理请求或事件时付费,从而降低了开发人员的门槛。无服务器模式的转变虽然带来了机遇,但也带来了平台函数冷启动延迟、资源利用不足等问题。为此,文中对无服务器计算平台的资源调度技术做了深入的调查和分析,重点阐述了面向资源利用、响应时间延迟以及多目标优化的无服务器平台资源调度的技术原理和相关研究现状,并在此基础上分析总结并指明了无服务器平台资源调度未来的主要研究方向:即面向不同应用类型负载的调度优化、响应时间与资源利用率的折衷调度、虚拟机与无服务器平台的联合调度以及无服务器资源调度的混合算法。     

圈闭资源量计算中体积法的软件实现

从体积法的数据、原理到功能实现,提出了一个完整的体积法计算圈闭资源量的计算机软件功能实现方案。重点探讨了软件在实现过程中所涉及的确定性和不确定性两种方法,并介绍了不确定方法参数概率分布设置的4种方法:利用分布模型库、端值法、等值线法和面积-深度图版法。通过某构造圈闭资源量计算实例应用,表明该软件系统能满足计算过程中各种功能的需求,在实际工作中能够较好地应用到具体的资源量预测和评价中。     

The Resource-Energy Nexus as a Key Factor for Circular Economy

The extraction of raw materials is associated with energy input and CO₂ emissions. What is obvious for extraction from mining, however, also applies to recycling. Mostly, recycling is preferred for reasons of climate protection or because of the geological scarcity of raw materials, which is controversially discussed. While in mining, the declining ore grade is a driver for the energy demand, in case of recycling it is the dissipation of materials into products or waste. As concentration decreases, the effort required also increases disproportionately. The “closing the loop” metaphor of Circular Economy is therefore inappropriate in its stricter meaning. It is rather about optimizing the overall system and finding the optimal recycling rate. However, first, it must be clarified what the political goals for Circular Economy are.     

有色金属资源加工提取技术研发的新进展

叙述了有色金属工业和科技面临的挑战与展望，介绍了有色金属硫化矿物的电位调控浮选技术，铜矿和金矿的生物浸出技术、水硬铝石型铝土矿的选矿脱硅（生产氧化铝的技术创新）。     

地质矿产资源勘查问题及对策

为了适应我国当前社会发展的需要,地质矿产资源的利用率越来越高。我国拥有大量的矿产资源,但由于长期不合理的勘探、开发和出口,使矿产企业遭受了巨大的损失。要促进我国矿产资源产业的发展及转型,就必须加强地质矿产勘察力度,同时保证合理开发。     

Resource-aware hybrid scheduling algorithm in heterogeneous distributed computing

Today, almost everyone is connected to the Internet and uses different Cloud solutions to store, deliver and process data. Cloud computing assembles large networks of virtualized services such as hardware and software resources. The new era in which ICT penetrated almost all domains (healthcare, aged-care, social assistance, surveillance, education, etc.) creates the need of new multimedia content-driven applications. These applications generate huge amount of data, require gathering, processing and then aggregation in a fault-tolerant, reliable and secure heterogeneous distributed system created by a mixture of Cloud systems (public/private), mobile devices networks, desktop-based clusters, etc. In this context dynamic resource provisioning for Big Data application scheduling became a challenge in modern systems. We proposed a resource-aware hybrid scheduling algorithm for different types of application: batch jobs and workflows. The proposed algorithm considers hierarchical clustering of the available resources into groups in the allocation phase. Task execution is performed in two phases: in the first, tasks are assigned to groups of resources and in the second phase, a classical scheduling algorithm is used for each group of resources. The proposed algorithm is suitable for Heterogeneous Distributed Computing, especially for modern High-Performance Computing (HPC) systems in which applications are modeled with various requirements (both IO and computational intensive), with accent on data from multimedia applications. We evaluate their performance in a realistic setting of CloudSim tool with respect to load-balancing, cost savings, dependency assurance for workflows and computational efficiency, and investigate the computing methods of these performance metrics at runtime.