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43091.分层增加的SPMD编程模型
[信息传输、软件和信息技术服务业] [2013-12-10]
Large-scale parallel machines are programmed mainly with the single program, multiple data (SPMD) model of parallelism. This model has advantages of scalability and simplicity, combining independent threads of execution with global collective communication and synchronization operations. However, the model does not fit well with divide-and-conquer parallelism or hierarchical machines that mix shared and distributed memory. In this paper, we define a hierarchical team mechanism that retains the performance and analysis advantages of SPMD parallelism while supporting hierarchical algorithms and machines.We demonstrate how to ensure alignment of collective operations on teams, eliminating a class of deadlocks. We present application case studies showing that the team mechanism is both elegant and powerful, enabling users to exploit the hardware features at different levels of a hierarchical machine and resulting in significant performance gains.
关键词：大规模并行机；多数据（SPMD）模型；独立线程执行
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43092.设计国有企业的生态系统，以支持丰富的用户体验——参与系统：云计算的新时代
[信息传输、软件和信息技术服务业] [2013-12-10]
Systems of engagement are taking on an increasingly important role in everyday life in bothconsumer and business contexts. Users seek a rich experience that gathers and analyzesinformation from multiple, disparate structured and unstructured sources to help them quicklymake and act upon informed decisions. A cloud operating environment is the platform thatsupports systems of engagement. This article presents an approach to designing a system ofengagements ecosystem.
关键词：云操作环境；环境状况；设计
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43093.云端计算大数据：数据速度，批量，多种类，真实性
[信息传输、软件和信息技术服务业] [2013-12-10]
Big data is an inherent feature of the cloud and provides unprecedented opportunities to useboth traditional, structured database information and business analytics with social networking,sensor network data, and far less structured multimedia. Big data applications require a data-centric compute architecture, and many solutions include cloud-based APIs to interface withadvanced columnar searches, machine learning algorithms, and advanced analytics such ascomputer vision, video analytics, and visualization tools. This article examines the use of the Rlanguage and similar tools for big data analysis and methods to scale big data services in thecloud. It provides an in-depth look at digital photo management as a simple big data servicethat employs key elements of search, analytics, and machine learning applied to unstructureddata.
关键词：定义；系统设计；系统运用；云数据
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43094.在IBM的纯应用系统实现业务连续性
[信息传输、软件和信息技术服务业] [2013-12-10]
Achieving business continuity (that is, making sure that your critical business functions canbe performed in the face of a disaster) is always a tricky business. Designing systems to beavailable in the face of failure is one of the most complex problems in software engineering. Evenunderstanding what business continuity and disaster recovery mean is where things just beginto get complicated.For example, what most users mean when they discuss disaster recovery is the ability to get a siteup and running in a matter of minutes (or, at most, hours) from a last good state of an existingsystem in the case of a catastrophic failure where an entire data center is lost.Because such definitions can be so loose, it’s useful to define some terms for discussing businesscontinuity for IBM PureApplication System. Wikipedia, in its article on disaster recovery, refers totwo key measurements that are important to understand:Recovery point objective (RPO) is the measure of the maximum time period in which datamight be lost from an IT service due to a major incident.
关键词：系统恢复；系统状态转移；备份恢复
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43095.数据整合与建设经验的SMAP
[信息传输、软件和信息技术服务业] [2013-12-10]
Originally designed as a RESTful protocol to expose reading data from simple instruments, we discuss theshifting role of sMAP as a common interchange format for timeseries data within a number of building projects.Due to the change in role and resulting widened set of use cases, we discuss where sMAP has fallen short anddesign modifications necessary to address them. Key contributions are identifying a set of features required for the broad applicability of a protocol for publishing time-series data, and a concrete proposal and implementationof our design grounded in a diverse set of use cases and real deployments.
关键词：时间序列数据；数据协议；广泛适用性；读取数据
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43096.协同异构蜂窝层叠网络中的终端直通通信技术
[信息传输、软件和信息技术服务业] [2013-12-09]
终端到终端(device-to-device，D2D)的直通通信实现了联合蜂窝和移动自组网的无缝操作，大幅提高了系统频谱效率和网络容量。介绍了D2D局域网的理论概念和在实践中的应用挑战；并着重论述了跨层资源管理在解决D2D通信中干扰避免问题的重要性，给出了一个无线资源管理实例。数据结果显示，所提出的算法性能接近穷举搜索最优算法，并具有相对较低的复杂度。目前，D2D通信技术表现出能够获得系统高容量和充分利用无线资源的巨大潜力。
关键词：D2D直通通信；无线资源管理；D2D局域网
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43097.新兴产业周刊——2013年45期
[专用设备制造业,电力、热力、燃气及水生产和供应业,信息传输、软件和信息技术服务业,水利、环境和公共设施管理业,汽车制造业,通用设备制造业,医药制造业,计算机、通信和其他电子设备制造业] [2013-12-09]
本刊以七大战略性新兴产业——节能环保、新一代信息技术、生物、高端装备制造、新能源、新材料、新能源汽车为研究重点，关注国家高层和各部委的动态，剖析国家和地方的新兴产业政策。本刊设有政策导读、领导讲话、七大战略性新兴产业本周国内外行业动态和重点企业新闻、投资专题四大板块，能够实时监测新兴产业和重点企业动态，把握新兴产业发展方向，研究发展重点，寻求发展机遇。
关键词：节能环保；新一代信息技术；生物；高端装备制造；新能源；新材料；新能源汽车
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43098.OpenStack联合会的实验多重云测试平台
[信息传输、软件和信息技术服务业] [2013-12-05]
There is an increasing number of cloud platforms emerging in both academia and industry. They often federate resources from multiple infrastructures in order to benefit from the unique features that each presents. After introducing the main capabilities and features of OpenStack, this article addresses the integration of OpenStack-based platforms into larger, heterogeneous multi-cloud infrastructures, taking the EU FP7 BonFIRE project as an integration use case. Ultimately, we aim to contribute to the state of the art and provide guidelines to integrators looking to federate Open Stack testbeds into more complex architectures.
关键词：云联盟；云计算；开放的堆栈
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43099.SQL到Hadoop和回来，第2部分：LeveragingHBase和Hive
[信息传输、软件和信息技术服务业] [2013-12-05]
"Big data" is a term that has been used regularly now for almost a decade, and it — alongwith technologies like NoSQL — are seen as the replacements for the long-successfulRDBMS solutions that use SQL. Today, DB2?, Oracle, Microsoft? SQL Server MySQL, andPostgreSQL dominate the SQL space and still make up a considerable proportion of the overallmarket. Here in Part 2, we will concentrate on how to use HBase and Hive for exchanging datawith your SQL data stores. From the outside, the two systems seem to be largely similar, butthe systems have very different goals and aims. Let's start by looking at how the two systemsdiffer and how we can take advantage of that in our big data requirements.
关键词：数据存储；交换；空间；大数据
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43100.使用Apache的Avro与Hadoop的大数据序列化
[信息传输、软件和信息技术服务业] [2013-12-05]
Apache Avro is a serialization framework that produces data in a compact binary format thatdoesn't require proxy objects or code generation. Get to know Avro, and learn how to use it withApache Hadoop.
关键词：序列化框架；代理库；模式；大数据
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