共查询到20条相似文献,搜索用时 65 毫秒
1.
2.
本文介绍了支撑新媒体业务的云平台下的新型媒资系统的建设思路、系统架构、组成与功能及与传统媒资系统比较.云平台下的媒资系统是基于传统媒资系统的改造,可提升对新媒体核心业务的管理水平与运营水平. 相似文献
3.
4.
无锡广电两大新媒体应用系统太湖明珠网站和智慧无锡客户端的存储升级在统筹考虑、充分利旧的前提下,规划建设存储虚拟化平台,提高存储资源的利用率.在应用系统迁移过程中,通过合理制定数据迁移步骤,确保业务不中断的情况下完成所有迁移工作,并经过测试验证虚拟化平台的高性能和高可用性.存储虚拟化在新媒体中的成功应用为传统媒体的存储建设提供参考. 相似文献
5.
利用服务器虚拟化技术集约、灵活、高效率和低成本等优势和特点,省局采用了以VMware vSphere为主的技术架构,搭建了山东省气象局服务器虚拟化平台.平台按照物理层、虚拟化层和管理层三层建设模式,配置了计算服务器、存储和交换机等设备,并面向部分业务单位开展了业务试运行.目前平台总体运行较为稳定,效果良好. 相似文献
6.
以温州传媒集团全台网项目中的中心媒资系统为例,介绍媒资系统的硬件架构、存储机制、与其它交互平台的接口设计,并详细说明系统的各个业务流程。中心媒资系统建成后用于保存温州广电传媒集团的节目素材和节目成片等媒体文件,承担历史资料数字化上载和编目工作,并作为这类有版权节目的永久存储。通过统一的媒资服务门户面向新闻节目制作业务、综合节目制作业务等提供素材和节目的检索、查询、浏览及再利用服务。 相似文献
7.
本文对内蒙古电视台新址中心媒资系统设计过程中所涉及到的一些关键问题进行了阐述,介绍了系统设计的原则,并对媒资系统存储架构、数据库平台、媒资与其他系统的数据交换、数据安全交互等方面的设计思路进行了说明。对设计时着重考虑的一些技术要点也进行了分析。 相似文献
8.
9.
随着SAN存储量的增长,提出了存储虚拟化的管理技术来解决存储管理、异步平台的数据共享、存储系统的可用性和可扩展性等方面的要求。文章主要探讨了存储虚拟化的分类,给出了一个基于SAN的分布式卷管理架构,该架构将操作系统中纵向虚拟存储管理概念扩展到不同磁盘、磁盘阵列的横向虚拟化管理,并在此架构下实现了分布式快照系统,该系统解决了海量数据备份时的I/O带宽问题。原型系统分析表明,新架构可以较好地解决分布式卷管理的问题,在实施数据迁移和数据拷贝时,实现海量数据瞬间完成与瞬间恢复。 相似文献
10.
11.
本文详细的论述了云计算的概念和特点,进一步说明了云计算在各领域应用中存在的风险,从正反两方面加以对比说明。总结出云计算的普及将影响整个产业的整体格局。 相似文献
12.
13.
葛澎 《微电子学与计算机》2012,29(5):201-204
分布式计算已经广泛而又深入的参透到各行各业的科技应用中.本文对几种主要的分布式计算技术,如网格、云计算、普适计算等,做了分析和比较,同时对分布式计算目前所面临的问题做了总结.最后对分布式计算技术未来的发展方向做了展望与预测. 相似文献
14.
15.
面向云计算应用领域的并行计算和分布式计算,较之以往有新的特点和实现原则。并行计算可以分为时间并行和空间并行,空间并行因其使用多个处理器并发执行计算,更具实用价值。分布式计算的工作模式是,中心服务器将一个大型计算任务分割成若干个或更多个任务单元,利用网络分派给多台计算机分别去完成,任务完成后再返回到中心服务器。分布式计算具有容错能力更强、维护更灵活、性价比更高的比较优势。CAP和BASE理论是当今互联网领域颇受关注且十分流行的分布式NoSQL的理论基础。 相似文献
16.
17.
Kagal Lalana Korolev Vladimir Avancha Sasikanth Joshi Anupam Finin Tim Yesha Yelena 《Wireless Networks》2002,8(6):619-635
In the near future, we will see dramatic changes in computing and networking hardware. A large number of devices (e.g., phones, PDAs, even small household appliances) will become computationally enabled. Micro/nano sensors will be widely embedded in most engineered artifacts, from the clothes we wear to the roads we drive on. All of these devices will be (wirelessly) networked using Bluetooth, IEEE 802.15 or IEEE 802.11 for short range connectivity creating pervasive environments. In this age where a large number of wirelessly networked appliances and devices are becoming commonplace, there is a necessity for providing a standard interface to them that is easily accessible by any user. This paper outlines the design of Centaurus, an infrastructure for presenting services to heterogeneous mobile clients in a physical space via some short range wireless links. The infrastructure is communication medium independent; we have implemented the system over Bluetooth, CDPD and Infrared, three well-known wireless technologies. All the components in our model use a language based on Extensible Markup Language (XML) for communication, giving the system a uniform and easily adaptable interface. Centaurus defines a uniform infrastructure for heterogeneous services, both hardware and software, to be made available to diverse mobile users within a confined space. 相似文献
18.
A Survey of Mobile Cloud Computing 总被引:1,自引:0,他引:1
Mobile Cloud Computing (MCC) is emerging as one of the most important branches of cloud computing. In this paper, MCC is defined as cloud computing extended by mobility, and a new ad-hoc infrastructure based on mobile devices. It provides mobile users with data storage and processing services on a cloud computing platform. Because mobile cloud computing is still in its infancy, we aim to clarify confusion that has arisen from different views. Existing works are reviewed, and an overview of recent advances in mobile cloud computing is provided. We investigate representative infrastructures of mobile cloud computing and analyze key components. Moreover, emerging MCC models and services are discussed, and challenging issues are identified that will need to be addressed in future work. 相似文献
19.
Adapting the User Context in Realtime: Tailoring Online Machine Learning Algorithms to Ambient Computing 总被引:1,自引:1,他引:0
Johannes Schmitt Matthias Hollick Christoph Roos Ralf Steinmetz 《Mobile Networks and Applications》2008,13(6):583-598
Ambient systems weave computing and communication aspects into everyday life. To provide self-adaptive services, it is necessary to acquire context information using sensors and to leverage the collected information for reasoning and classification of situations. To enable self-learning systems, we propose to depart from static rule-based decisions and first-order logic to define situations from basic context, but to build on machine-learning techniques. However, existing learning algorithms show substantial weaknesses if applied in highly dynamic environments, where we expect accurate decisions in realtime while the user is in-the-loop to give feedback to the system’s recommendations. To address ambient and pervasive computing environments, we propose the FLORA—multiple classification (FLORA-MC) online learning algorithm. In particular, we enhance the FLORA algorithm to allow for (1) multiple classification and (2) numerical input values, while improving its concept drift handling capabilities; thus, making it an excellent choice for use in the area of ambient computing. The multiple classification allows context-aware systems to differentiate between multiple categories instead of taking binary decisions. Support for numerical input values enables the processing of arbitrary sensor inputs beyond nominal data. To provide the capability of concept drift handling, we propose the use of an advanced window adjustment heuristic, which allows FLORA-MC to continuously adapt to the user’s behavior, even if her/his preferences change abruptly over time. In combination with the inherent characteristics of online learning algorithms, our scheme is very well suited for realtime application in the area of ambient and pervasive computing. We describe the design and implementation of FLORA-MC and evaluate its performance vs. state-of-the-art learning algorithms. We are able to show the superior performance of our algorithm with respect to reaction time and concept drift handling, while maintaining an excellent accuracy. Our implementation is available to the research community as a WEKA module. 相似文献