面向云的视频会议系统设计与实现

随着人们生活水平的提高,人们对视频会议的要求也越来越高,无论是清晰度还是实时性都有较多要求。与视频会议相关的技术有很多,例如云计算,NGImeetings Cluster框架结构等,云计算在视频系统当中具有很大的作用,可以对系统进行测试,NGImeetings Cluster系统结合云计算的优势可以使NGImeetings Cluster服务框架更加灵活,大大提高系统的服务性能。     

CKshare: secured cloud-based knowledge-sharing blockchain for injection mold redesign

This paper proposes a trustable mold redesign knowledge-sharing platform, known as CKshare, based on private cloud and blockchain technology. Firstly, we use private cloud to store the mold redesign knowledge of each party to meet its own privacy and data format requirements. Secondly, a blockchain network is used for recording the knowledge and its transactions to ensure security and trustfulness. Thirdly, a simple retrieval mechanism is developed based on k-nearest neighbors for retrieving the codified knowledge on the platform. To realize CKshare, a prototype platform has been developed and explained based on real data from the case mold company.     

云理念下大型船企内部资源整合思路

基于云理念,文章提出了大型船企内部资源整合思路。文章首先分析了大型船企内部资源的典型特征,继而提出船企内部制造云与内部需求云的概念。通过构建云企业,促使最佳的服务资源与最契合的服务需求相结合,从而达到从整体上提升企业竞争力的目的。     

钢丝绳淋油装置的改造设计及故障分析

本文主要分析了钢丝绳除油装置设计技术难点、创新点以及电气原理图设计,最后分析总结了常见故障的分析及解决方法。     

基于云模型的动态物流过程知识表示

以提高物流过程管理实时优化调度的智能性和科学性为突破口,引入云模型和知识工程的知识表示理论,提出一种基于云模型的物流过程的知识表示法。通过云模型的期望值、熵和超熵三个数字特征有效地表达定性概念,并实现定性和定量的不确定转换,从而描述具有动态特点和一定非确定性的物流过程知识。     

最优化审批铁路承认车系统的研究

通过对铁路货运调度审批承认车自动化方面的深入研究,提出了自动审批承认车的数学模型,研制了铁路货运调度审批承认车自动化系统,为铁路运输组织提供了一个最优化的技术手段,使铁路企业能充分利用有限资源,谋求最大的收益。     

科技云影响下的科技服务平台运行模式研究

科技云是改变科技服务平台多头分散管理、重复建设、相互交叉、效率不高问题的重要手段,也是科技服务平台信息化发展的重要趋势。由于科技云滞后于科技服务平台,数据资源集成与资源共享都相比离散平台更为复杂,基于科技云理清科技服务平台数据资源、服务功能、用户对象以及运行模式,成为建设科技云的前提。在剖析科技中介模式、众包模式、众创模式不同形式科技服务平台运行模式的基础上,以科技云集成思路为导向,剖析科技云平台数据资源、服务功能、用户对象,刻画政府主导模式下的科技云运行模式和企业主导模式下的科技云运行模式。研究指出科技云模式下,科技服务平台数据资源将以资源池形式集中呈现,科技服务将体现“一站式”服务特征,政府主导下的科技云运行模式与企业主导下的科技云运行模式将存在差异。     

基于云模型的装备制造业产业链风险评价

将云模型引入风险评价,对装备制造业风险等级进行量化。从产业链的视角,将专家调查法与熵权法相结合识别风险因素,将筛选出的具有显著影响的因素作为评价因子引入云模型,从而降低了风险评估结果的主观性。构建了产业链风险评价指标体系,提出了基于熵权-云模型法的风险评估方法,对装备制造业产业链风险进行了总体评估。通过分析评估结果,提出防范装备制造业产业链风险的对策建议。     

Extending multi-tenant architectures: a database model for a multi-target support in SaaS applications

Multi-tenant architectures (MTAs) are considered a cornerstone in the success of Software as a Service as a new application distribution formula. Multi-tenancy allows multiple customers (i.e. tenants) to be consolidated into the same operational system. This way, tenants run and share the same application instance as well as costs, which are significantly reduced. Functional needs vary from one tenant to another; either companies from different sectors run different types of applications or, although deploying the same functionality, they do differ in the extent of their complexity. In any case, MTA leaves one major concern regarding the companies’ data, their privacy and security, which requires special attention to the data layer. In this article, we propose an extended data model that enhances traditional MTAs in respect of this concern. This extension – called multi-target – allows MT applications to host, manage and serve multiple functionalities within the same multi-tenant (MT) environment. The practical deployment of this approach will allow SaaS vendors to target multiple markets or address different levels of functional complexity and yet commercialise just one single MT application. The applicability of the approach is demonstrated via a case study of a real multi-tenancy multi-target (MT²) implementation, called Globalgest.     

采用云计算技术的网络流量检测

为了实现对现网大数据网络流量的实时、有效检测,提出了一种基于云计算的网络流量检测方案。该方案充分利用Hadoop平台Map/Reduce编程模型在海量数据处理方面的优势,采用分层化的设计思想,克服了传统检测方案在海量数据应用环境中效率低下、可扩展性与安全性不足的缺点。重庆移动DPI平台应用表明,该方案较为有效,流量检测效果良好,在大数据处理时效率较普通分布式处理有明显提高。