“未来”生活看起来很酷,只要伸一伸手、抬一抬腿、张一张嘴,就能够得到想要的信息,感觉真是自由自在、随心所欲,甚至具有“科幻”意味,你可能感觉离我们很遥远.其实,这样的生活已经是触手可及,云计算、移动互联网、物联网强强联手,将为我们打造高品质的生活.本文分析了云计算终端设备的发展趋势,重点介绍了苹果和微软的云计算产品.

在云计算时代,复杂的内容分发、用户订制、广告细分、多媒体呈现等工作都将在“云端”进行,媒体融合将在云计算平台上轻松实现.本文给出了《纽约时报》使用亚马逊EC2/S3成功解决大流量新闻发布难题和《华盛顿邮报》采用亚马逊EC2服务来处理希拉里第一夫人日程表的案例,分析了云计算理念在新闻传播领域的应用.

物联网通过云计算和高效传输,将终端能力聚合,成就了超级智能网络.随着传感器条形码、RFID(射频识别)GPS(全球定位系统)、云计算等关键技术的迅猛发展,物联网产业作为推动产业升级、迈向信息社会的“发动机”,受到世界各国的普遍重视.本文给出了物联网在铁路车号自动识别、集装箱管理和商品电子防盗领域的应用场景和工作原理.

当IT业界正在爆炒"云计算"的时候,好莱坞的导演和主角们自然也不甘寂寞,他们雄赳赳、气昂昂地地投身到这场轰轰烈烈的运动之中。娱乐没有圈,没有谁规定电影人不能玩高科技!本文分析了《阿凡达》、《怪物史瑞克4》、《社交网络》和《功夫熊猫2》四部好莱坞大片中的云计算理念,描述了云计算在这些好莱坞大片中的应用场景。

A key challenge to achieve very high positioning accuracy (such as sub-mm accuracy) in Ultra-Wideband (UWB) positioning systems is how to obtain ultra-high resolution UWB echo pulses, which requires ADCs with a prohibitively high sampling rate. The theory of Compressed Sensing (CS) has been applied to UWB systems to acquire UWB pulses below the Nyquist sampling rate. This paper proposes a front-end optimized scheme for the CS-based UWB positioning system. A Space-Time Bayesian Compressed Sensing (STBCS) algorithm is developed for joint signal reconstruction by transferring mutual a priori information, which can dramatically decrease ADC sampling rate and improve noise tolerance. Moreover, the STBCS and time difference of arrival (TDOA) algorithms are integrated in a pipelined mode for fast tracking of the target through an incremental optimization method. Simulation results show the proposed STBCS algorithm can significantly reduce the number of measurements and has better noise tolerance than the traditional BCS, OMP, and multi-task BCS (MBCS) algorithms. The sub-mm accurate CS-based UWB positioning system using the proposed STBCS-TDOA algorithm requires only 15% of the original sampling rate compared with the UWB positioning system using a sequential sampling method.

云计算是一种基于互联网提供服务的业务模式,它能够实现IT基础设施的资源化和服务化,用户可以按需进行定制和付费,从而彻底改变了传统IT基础设施的提供和支付方式,有效解决了无限增长的海量信息存储和计算问题。文章给出了云计算分布式文件系统的主要类型,分析了Google文件系统(GFS)和Hadoop分布式文件系统(HDFS)的演进情况。最后,详细描述了分布式文件系统的工作原理。

Wideband spectrum sensing remains an open challenge for cognitive radio networks due to the insufficient wideband sensing capability. This paper introduces the theory of Gaussian Markov Random Field to estimate the un-sensed sub-channel status. We set up a measurement system to capture the WiFi spectrum data. With the measurement data, we verify that the proposed model of Temporal Conditional Gaussian Random Field can efficient estimate the sub-channel status.

In order to solve the issues such as heterogeneous coexistence,spectrum scarcity,tremendous data processing and security guarantees,we introduce Wireless Cognitive Sensor Network(WCSN) into the smart grids.In this paper,we study the data falsification attacks to WCSN in smart grids,where intruders send false local spectrum sensing results and power consumption information resulting in incorrect spectrum allocation and power dispatching decisions by control centers.Based on the SIR model in epidemic theory,we model and analyze the information spreading process in data falsification attacks and identify key factors determining potential epidemic outbreaks in smart grids.In conclusion,through extensive simulations,we validate the feasibility of SIR model and perform investigations on the system dynamics.

In order to minimize the network operating expenses,the provision of Self Organizing Networks(SON) is one of the key objectives of LTE.This paper introduces the development background of SON,presents Mobility Load Balancing(MLB) solution,analyzes the principle of Mobility Robustness Optimization(MRO),and describes the procedure of RACH optimization and proposes the idea of energy saving.In conclusion,we study the reference functional model of SON.

以前，用户买了新计算机后，往往还要买一款杀毒软件给计算机上个保险。然后，隔三岔五地到杀毒软件厂商网站上升级，下载和更新病毒库，这些病毒库就保存在我们的计算机中。权威机构提供的数据表明，全世界每小时产生的病毒有2万多种。随着时间的推移，用户计算机上的病毒库会越来越庞大，占用的计算资源也越来越多。导致的后果是计算机运行速度越来越慢，这种传统杀毒模式已经越来越不受人欢迎。

作为一种基于互联网的计算模式,云计算被业界认为是继互联网之后的下一次IT产业革命。共享的软硬件资源和信息可以通过云计算按需提供给计算机和其他设备。文章分析了网格计算的起源、定义、特点与应用,给出了效用计算的产生背景、主要特征、概念本质与应用实例,描述了软件即服务(SaaS)的发展历程、基本定义、关键特性和代表性公司(Salesforce)。最后,介绍了云计算的历史渊源、优势特点、服务对象和发展前景。

通常情况下,无线传感器网络在感知覆盖留有冗余。在保持网络功能的前提下,一些传感器可以转入休眠状态。随机配置在某个区域的传感器应当能够决定激活哪些传感器来监测某个区域,以及哪些传感器转入休眠状态,并在后期被激活。连通性非常重要,它支持测量数据报告给监测中心。传感器区域覆盖问题既可看作是单位圆盘图,也可看作是基于物理层的感知模型。文章引入了传感器覆盖模型,分析了传感器覆盖与连通标准,提出了传感器区域覆盖算法。

作为ITU于2010年10月通过的4G标准之一,LTE-Advanced是3GPP长期演进（LTE）标准的增强版。文章给出了3GPP LTE-Advanced标准化时间表和关键性能,说明了载波聚合的工作原理,介绍了下行链路和上行链路多天线增强方案,描述了异构网络部署场景,验证了中继对LTE-Advanced网络性能的改善功能,最后预测了LTE-Advanced R11标准化发展趋势。

Compressed sensing (CS) is a revolutionary signal acquisition theory, enabling signal acquisition at a rate that is below the Nyquist sampling rate. However, CS signal reconstruction algorithms are computationally expensive. One of the key computation steps in CS algorithms is to iteratively compute a Cholesky decomposition. Modern application acceleration devices, such as FPGAs and GPUs, can accelerate Cholesky decomposition and CS signal reconstruction computation. This paper presents high performance parallel Cholesky decomposition algorithms for GPU and FPGA implementation. For GPUs, an optimized Cholesky decomposition algorithm is developed with high parallelism, reduced data copying, and improved memory access. For FPGAs, a dedicated pipelined hardware architecture for Cholesky decomposition is designed. Only one pipelined triangular linear equation solver is needed for solving Cholesky decomposition and Cholesky decomposition-based linear equation systems. Moreover, CS signal reconstruction algorithms are accelerated on GPUs and FPGAs for fast signal recovery based on our iterative Cholesky decomposition. Results show that the proposed Cholesky decomposition on FPGAs and GPUs are much faster than LAPACK and MAGMA for small matrices. For accelerating CS signal reconstruction algorithms, our FPGA implementation can achieve around 15× speedup and our GPU implementation can achieve about a 38× speedup compared with the CPU using LAPACK and the hybrid CPU/GPU system with MAGMA.

HSPA+增强方案能够提供终端用户性能的改进方案,提高峰值比特率,降低移动终端功耗和延迟。给出了HSPA+和LTE之间的关系,介绍了双蜂窝HSDPA解决方案的主要思路,研究了该方案的数据速率优势,比较了双蜂窝HSDPA与MIMO解决方案的性能,并列举了双蜂窝HSDPA和HSUPA的区别。同时,描述了多载波HSDPA解决方案、多频段HSDPA解决方案和多载波与多频段HSDPA组合解决方案,并分析了这些解决方案的性能。

In the cloud connectivity of wireless sensor networks, security concerns itself with the detection and prevention of internal or external malicious intention. Generally, one anomaly leads into an avalanche of subsequent alarms, which drive us to manage that information once the anomalous behavior is detected in a wireless sensor network. This paper describes the main content of DARPA information survivability research, analyzes the model with regard to information reporting and management. Furthermore, we introduce the development phases of Fault Diagnosis and Isolation (FDI). In conclusion, we study the causes and countermeasure s of false alarms.

UMTS将为未来的信息系统提供业务平台,整个通信界都支持这一发展趋势。技术将不再被看作是问题,而是被看作是业务创新、业务多样化和业务区分的驱动力,UMTS将代表当前大多数移动网络基础设施自然演进的趋势。文章首先分析了业务质量要求和分组交换业务要求,给出了核心网分析假设,最后对核心网规划的参考输出进行了深入的研究。

云计算作为一种新型资源利用方式,支持广大用户通过网络以按需、易扩展的方式获得所需的资源。文章给出了MapReduce采用的基本理念("分而治之"),分析了MapReduce的基本原理,并以字数统计为例,详细介绍了作业提交、映射任务分配、映射任务执行、归约任务分配、排序、归约任务执行、作业完成等7大MapReduce计算流程,最后描述了MapReduce在云计算中的重要作用。

无线认知传感器网络（WCSN）可以定义为无线认知传感器节点的分布式网络,它感知事件信号,机会地使用频谱空洞,并采用多跳方式,完成信息的动态协同通信,最终满足各种应用需求。文章分析了无线认知传感器网络（WCSN）的基本概念和优势,给出了无线认知传感器网络节点硬件结构,研究了Ad Hoc式、分簇式、异构分级式和移动式四种无线认知传感器网络拓扑结构,列举了无线认知传感器网络的应用领域。

物联网在国外被视为“危机时代的救世主”．在当前的经济危机尚未完全消退的时期．许多发达国家将发展物联网视为新的经济增长点。物联网的应用已经覆盖到各个角落、各个领域，可以用。无所不包、无所不在“来形容。本文通过描述电子站牌全球定位系统（GPS）、电子地图，GPS报警器和智能调度技术的工作原理．介绍了物联网在城市公共交通系统中的应用。