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2014 IEEE 11th Consumer Communications and Networking Conference (CCNC)最新文献

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Toward a distributed storage system leveraging the DSL infrastructure of an ISP 朝着利用ISP的DSL基础设施的分布式存储系统发展
Pub Date : 2014-11-03 DOI: 10.1109/CCNC.2014.6940487
Pierre Meye, Philippe Raipin, F. Tronel, E. Anceaume
Internet Service Providers (ISP) furnishing cloud storage services usually rely on big data centers. These centralized architectures induce many drawbacks in terms of scalability and reliability as datacenters represent single points of failure, and in terms of data access latencies as they are not necessarily located close to the users. This paper presents the design choices about a distributed storage system that targets these issues by leveraging only high available nodes in the Digital Subscriber Line (xDSL) infrastructure of an ISP, namely a large number of home gateways, Points of Presence, and datacenters.
互联网服务提供商(ISP)提供云存储服务通常依赖于大数据中心。这些集中式体系结构在可伸缩性和可靠性方面存在许多缺点,因为数据中心代表单点故障,而在数据访问延迟方面,因为它们不一定位于用户附近。本文介绍了分布式存储系统的设计选择,该系统通过仅利用ISP的数字用户线路(xDSL)基础设施中的高可用节点(即大量的家庭网关、存在点和数据中心)来解决这些问题。
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引用次数: 3
Mobility management in bluetooth low energy 低功耗蓝牙的移动性管理
Pub Date : 2014-11-03 DOI: 10.1109/CCNC.2014.6940529
A. Jara, Yann Bocchi, D. Genoud
The potential of the artificial intelligence to build solutions based on the understanding of human behaviours, and the capacity to discover patterns through their interactions with the world is being extended with the capabilities of the Internet of Things. The described potential, so-called Human Dynamics, pursues to describe in real-time the human behaviours and activities. These goals are starting to be feasible through the quantity of data provided by two of the main areas of the Internet of Things, on the one hand, the Smart cities to make more intelligent the environment and offer a smart space that sense our movements, actions, and the evolution of the ecosystem, and on the other hand, the wearable and mobile computing which allows to provide data from the humans itself, i.e., from their pockets (smart phones), wrists (smart watches), hearts (wearable sensors), and eyes (glasses). This work analyses the ecosystem defined through the triangle formed by Big Data, Smart Cities and Wearable Computing to determinate human dynamics. For this purpose, the life-cycle of human dynamics determinations in Smart Cities have been analysed in order to determinate the current status of the technology, challenges, and opportunities.
人工智能在理解人类行为的基础上构建解决方案的潜力,以及通过人类与世界的互动发现模式的能力,正在随着物联网的能力而得到扩展。被描述的潜能,即所谓的人类动力学,旨在实时描述人类的行为和活动。这些目标开始是可行的通过提供的数据的数量的两个主要领域的物联网,一方面,智能城市做出更聪明的环境,并提供一种智能空间运动,行动,和生态系统的演变,另一方面,可穿戴和移动计算可以提供人类本身的数据,例如,从他们的口袋(智能手机),手腕(智能手表),心脏(可穿戴传感器)和眼睛(眼镜)。这项工作分析了由大数据、智慧城市和可穿戴计算形成的三角形所定义的生态系统,以确定人类的动态。为此,分析了智慧城市中人类动态决定的生命周期,以确定技术的现状、挑战和机遇。
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引用次数: 1
Future access architecture: Software-defined accesss networking 未来的访问架构:软件定义的访问网络
Pub Date : 2014-11-03 DOI: 10.1109/CCNC.2014.6940517
Ruobin Zheng, Wenle Yang, Jun Zhou
In the cloud era, booming broadband access, and the new services that it facilitates, is posing a greater demand on access technologies. Legacy access technologies are facing lots of challenges: Complexity for multi-point access management; Scalability and energy efficiency in remote nodes; Painfulness of choosing a technology; Difficulty of access network wholesale. To address these challenges, this paper discusses Software-defined Access Networks (SDAN) as the next-gen architecture for access networking. With its simplified access nodes, flexible and programmable line technologies, and cloud home gateway & services, SDAN helps operators construct a simple, agile, elastic, and value-added access network.
在云时代,蓬勃发展的宽带接入及其促进的新业务对接入技术提出了更大的需求。传统接入技术面临着诸多挑战:多点接入管理的复杂性;远程节点的可扩展性和能源效率;选择技术的痛苦;接入网络批发困难。为了应对这些挑战,本文讨论了软件定义接入网(SDAN)作为下一代接入网体系结构。SDAN通过简化的接入节点、灵活可编程的线路技术、云家庭网关和服务,帮助运营商构建简单、敏捷、弹性、增值的接入网。
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引用次数: 6
Multi-dimensional reward volumes for sensor priority strategies 传感器优先级策略的多维奖励量
Pub Date : 2014-11-03 DOI: 10.1109/CCNC.2014.6940488
M. Rahmes, Rick Pemble, G. Lemieux, K. Fox
We describe a model for determining strategies for making decisions for sensor prioritization strategies. We combine operations research methods and remote sensing for decision making with several possible actions, state of the world, and a mixed probability metric. We perform data mining and discover patterns to automatically enhance situational awareness from multiple sensor inputs. Our solution has been developed for a method for determining actionable information to efficiently manage remote sensing assets and use open source information. Our tool allows for calculating optimal strategies, provides greater knowledge about the state of the world, and increases the likelihood of a decision maker making the best decision. We discuss multi-dimensional game theory using linear programming methods to solve for multiple possible strategies. We discuss a new concept of reward volumes. The decision maker's success depends upon his ability to correctly and automatically judge the multiple factors. The goal of our system, called GlobalSite, is to deliver trustworthy threat analysis systems and services that understand situations, while being a vital tool for continuing mission operations.
我们描述了一个模型,用于确定传感器优先级策略的决策策略。我们将运筹学方法和遥感相结合,用于决策制定几种可能的行动,世界状态和混合概率度量。我们执行数据挖掘和发现模式,从多个传感器输入自动增强态势感知。我们的解决方案是为确定可操作信息的方法而开发的,以有效地管理遥感资产和使用开源信息。我们的工具允许计算最优策略,提供关于世界状态的更多知识,并增加决策者做出最佳决策的可能性。本文用线性规划方法讨论了多维博弈理论中多种可能策略的求解问题。我们讨论了奖励量的新概念。决策者的成功取决于他正确和自动判断多种因素的能力。我们的系统名为GlobalSite,其目标是提供可信赖的威胁分析系统和服务,以了解情况,同时成为持续任务操作的重要工具。
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引用次数: 3
LelioSwing: Rediscovering music classics while playing in duo with Lelio Luttazzi LelioSwing:与Lelio Luttazzi合作,重新发现音乐经典
Pub Date : 2014-11-03 DOI: 10.1109/CCNC.2014.6940524
M. Roccetti, G. Marfia, S. Colombini, M. Zanichelli
Museums and exhibitions traditionally present pieces of preserved human knowledge in a static manner, letting their public observe and analyze what can be heard or seen. Sight and hearing are hence the two senses, out of the five available ones, that are usually engaged in such scenarios. Recently, information and communication technologies have been put to good use to increase the amount of participation that visitors experience while seeing an exhibition, engaging for example the other senses (taste, smell and touch) in playful ways with modern sensors and actuators, but also serving as building blocks for applications that support novel methodologies of knowledge transfer. In fact, the ephemeral part of human knowledge and experience is the most difficult to capture and, consequently, the hardest to hand down to posterity. Although this remains an open challenge, far from being definitely solved, many steps forward have been made so far. It is hence today possible to go beyond watching or listening, supporting the performance of actions and the construction of new practical experiences while visiting a museum or an exhibition. In this paper we describe practical example of how we implemented such ideas in an interactive system that will be shown in downtown Rome at the Trajan Forum Exposition center. In brief, we constructed an interactive system that lets visitors playing a piano together with the Italian Jazz star Lelio Luttazzi. Visitors, hence, can participate and build their own experience playing with the real artist, rather than solely listening to the artist's music or watching the artist's pictures.
博物馆和展览传统上以静态的方式展示保存下来的人类知识,让公众观察和分析可以听到或看到的东西。因此,在这类场景中,视觉和听觉是五种感官中的两种。最近,信息和通信技术已被很好地用于增加参观者在观看展览时的参与度,例如,通过现代传感器和执行器以有趣的方式吸引其他感官(味觉、嗅觉和触觉),但也作为支持新知识转移方法的应用程序的基石。事实上,人类知识和经验中短暂的部分是最难捕捉的,因此也是最难传承给后代的。虽然这仍然是一个公开的挑战,远未得到明确解决,但迄今已取得了许多进展。因此,今天有可能在参观博物馆或展览时超越观看或聆听,支持行动的表演和新的实践体验的构建。在本文中,我们描述了如何在一个交互式系统中实现这些想法的实际例子,该系统将在罗马市中心的图拉真论坛展览中心展示。简而言之,我们构建了一个互动系统,让游客与意大利爵士明星Lelio Luttazzi一起弹钢琴。因此,参观者可以参与并建立自己的体验,与真正的艺术家一起玩,而不仅仅是听艺术家的音乐或看艺术家的图片。
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引用次数: 0
Mobile device-level data modeling through high utilization mobile applications 通过高利用率的移动应用程序进行移动设备级数据建模
Pub Date : 2014-11-03 DOI: 10.1109/CCNC.2014.6940500
Junghyo Lee, P. Seeling
In this paper, we present a mobile-device level approach to estimating the network data (traffic) that is generated over time. While efforts oftentimes utilize complex approaches, our model captures the main characteristics in the time and data domains of a high utilization application class as Hidden Markov Model while modeling the remaining applications' characteristics in form of a simple background process. We find that our approach is capable of matching the average amounts of data behavior of the source dataset (with a reduction in overall variability of the simulated produced traffic as drawback) and is thus suitable for high level capacity evaluations.
在本文中,我们提出了一种移动设备级别的方法来估计随时间产生的网络数据(流量)。虽然工作经常使用复杂的方法,但我们的模型捕获了高利用率应用程序类的时间和数据域的主要特征,作为隐马尔可夫模型,同时以简单的后台过程的形式对其余应用程序的特征进行建模。我们发现,我们的方法能够匹配源数据集的平均数据行为量(以减少模拟产生的流量的总体可变性为缺点),因此适合于高水平的容量评估。
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引用次数: 1
Power consumption overhead for proxy services on mobile device platforms 移动设备平台上代理服务的功耗开销
Pub Date : 2014-11-03 DOI: 10.1109/CCNC.2014.6940515
Troy A. Johnson, P. Seeling
As mobile data consumption increases, several venues of research investigate energy efficiency and optimizations, oftentimes realized through on-device services; optimization approaches based around on-device optimizations in turn need to overcome the power consumption added by these services. We present a measurement framework for the power consumption of mobile devices based on the Pandaboard (mobile) development platform using the Android operating system. Utilizing the framework, we perform power consumption evaluations for basic web requests as well as HTML5 video streaming to a mobile browser in (i) direct connection and (ii) indirect connections through a mobile proxy server on the device, which represents a baseline for application layer optimization approaches. We find that using the local proxy server on the device for web requests results in very limited overheads, both in terms of power consumption and added delays which tend to remain request size independent. HTML5 video streaming through the proxy service incurs an average energy consumption penalty of approximately one percent. Our findings corroborate that even smaller realized optimization gains through services on mobile devices themselves are not usurped by the service enablers consuming mobile CPU cycles.
随着移动数据消耗的增加,一些研究场所调查能源效率和优化,通常通过设备上的服务实现;基于设备上优化的优化方法反过来需要克服这些服务增加的功耗。我们提出了一个基于Pandaboard(移动)开发平台的基于Android操作系统的移动设备功耗测量框架。利用该框架,我们对基本的web请求以及HTML5视频流进行功耗评估,通过设备上的移动代理服务器(i)直接连接和(ii)间接连接,这代表了应用层优化方法的基线。我们发现,在设备上使用本地代理服务器处理web请求的开销非常有限,无论是在功耗方面,还是在增加延迟方面,都倾向于保持请求大小无关。通过代理服务的HTML5视频流会导致大约1%的平均能耗损失。我们的研究结果证实,即使是通过移动设备上的服务实现的更小的优化收益,也不会被消耗移动CPU周期的服务启用程序所取代。
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引用次数: 3
Real-time multimedia streaming in unstructured peer-to-peer networks 非结构化点对点网络中的实时多媒体流
Pub Date : 2014-11-03 DOI: 10.1109/CCNC.2014.6940523
Benjamin Rainer, C. Timmerer, Patrick Kapahnke, M. Klusch
With the introduction of social networks like Facebook, Google+, and Twitter, the ways of sharing impressions of events has changed. We try to go a step further than social networks do. We offer the possibility to share events live with friends and colleagues. Our approach is based on semantic search in unstructured peer-to-peer (P2P) networks for querying content in mobile ad hoc networks and dynamic adaptive streaming over HTTP for the actual delivery of the real-time media impressions.
随着Facebook、b谷歌+和Twitter等社交网络的出现,分享事件印象的方式发生了变化。我们试图比社交网络走得更远。我们提供与朋友和同事分享现场活动的可能性。我们的方法基于非结构化点对点(P2P)网络中的语义搜索,用于在移动自组织网络中查询内容,以及基于HTTP的动态自适应流,用于实时媒体印象的实际交付。
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引用次数: 4
Museo Multiverso: Bridging the gap between museums and mobile platforms Museo Multiverso:弥合博物馆和移动平台之间的差距
Pub Date : 2014-11-03 DOI: 10.1109/CCNC.2014.6940486
M. Roccetti, Cristian Bertuccioli, A. Marcomini, Angelo Varni, G. Marfia, M. Zanichelli
As mobile devices have pervasively become virtually available to all, cultural institutions have been increasingly investing resources in the creation of apps that can be enjoyed on the phone. Typically such apps are built custom for specific events or exhibitions, resulting in increased IT costs that well exceed the typical costs due to the maintenance of institutional websites and the carry on of traditional marketing strategies. In this paper we describe Museo Multiverso (MuMu), a mobile publishing platform that provides a standard interface with the mobile world to museum curators and experts. Using MuMu a museum curator can populate a mobile client with any multimedia information related to an exhibition or to a network of exhibitions and easily publish such information and make it available to mobile users. MuMu is composed of two main components: a platform that museum curators can use to organize and insert the information they want to share with the public and a mobile client where users can originally enjoy all of such information. In fact, the contribution of this work is twofold: (a) from an architectural point of view, we designed and implemented a platform that can be put to good use to support virtually any number of museums and events, and, (b) from a human-computer interaction point of view we leverage on advanced interaction techniques in order to provide an easy to use interface that excites curiosity and interest.
随着移动设备几乎普及到所有人,文化机构越来越多地投入资源,开发可以在手机上使用的应用程序。这类应用通常是为特定的活动或展览定制的,这导致IT成本的增加,远远超过了机构网站维护和传统营销策略的典型成本。在本文中,我们描述了Museo Multiverso (MuMu),这是一个移动发布平台,为博物馆馆长和专家提供了一个与移动世界的标准接口。使用MuMu,博物馆馆长可以用与展览或展览网络相关的任何多媒体信息填充移动客户端,并轻松发布这些信息并使其可供移动用户使用。MuMu由两个主要部分组成:一个是博物馆馆长可以用来组织和插入他们想要与公众分享的信息的平台,一个是用户可以最初享受所有这些信息的移动客户端。事实上,这项工作的贡献是双重的:(a)从建筑的角度来看,我们设计并实现了一个平台,可以很好地用于支持几乎任何数量的博物馆和活动;(b)从人机交互的角度来看,我们利用先进的交互技术,以提供一个易于使用的界面,激发好奇心和兴趣。
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引用次数: 1
Hierarchical automatic speech recognition powered by data infrastructure 由数据基础设施驱动的分层自动语音识别
Pub Date : 2014-11-03 DOI: 10.1109/CCNC.2014.6940492
A. Jagatheesan, Jong-Roon Ahnn, T. Phan, Abhishek Singh, Juhan Lee
Automatic Speech Recognition (ASR) has evolved remarkably over the years and is expected to become a primary form of input to mobile devices including smartphones and wearables. Most large-scale mobile platforms perform speech recognition in the cloud today. There are both advantages and disadvantages to this Cloud-based ASR (Cloud-ASR) approach. Cloud-ASR approach allows for a context oriented humancomputer- interaction using speech rather than a mere speech-totext translation. A Cloud-ASR also has disadvantages such as interruption of the speech service when there is no access to the Cloud-ASR, and also the energy consumption for radio communications, which can drain a mobile battery sooner. We propose the usage of Hierarchical Speech Recognizer (HSR) as an alternative approach to overcome the shortcomings of the Cloud-ASR approach. In the HSR approach, mobile devices perform "selective speech recognition" by themselves as much as possible without contacting an external cloud-based ASR service. In this demonstration, we show our proof-of-concept HSR along with its feasibility and advantages.
自动语音识别(ASR)多年来发展迅速,有望成为包括智能手机和可穿戴设备在内的移动设备的主要输入形式。如今,大多数大型移动平台都在云端执行语音识别。这种基于云的ASR (Cloud-ASR)方法既有优点也有缺点。云语音识别方法允许使用语音进行面向上下文的人机交互,而不仅仅是语音到文本的翻译。Cloud-ASR也有缺点,如没有接入Cloud-ASR时语音服务中断,以及无线电通信的能量消耗,这可能会更快地耗尽移动电池。我们建议使用分层语音识别器(HSR)作为替代方法来克服云- asr方法的缺点。在高铁方法中,移动设备尽可能自己执行“选择性语音识别”,而无需联系外部基于云的自动语音识别服务。在这个演示中,我们展示了我们的概念验证高铁及其可行性和优势。
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引用次数: 1
期刊
2014 IEEE 11th Consumer Communications and Networking Conference (CCNC)
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