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2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)最新文献

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Big Data Validation and Quality Assurance -- Issuses, Challenges, and Needs 大数据验证和质量保证——问题、挑战和需求
Pub Date : 2016-05-19 DOI: 10.1109/SOSE.2016.63
J. Gao, Chunli Xie, Chuanqi Tao
With the fast advance of big data technology and analytics solutions, big data computing and service is becoming a very hot research and application subject in academic research, industry community, and government services. Nevertheless, there are increasing data quality problems resulting in erroneous data costs in enterprises and businesses. Current research seldom discusses how to effectively validate big data to ensure data quality. This paper provides informative discussions for big data validation and quality assurance, including the essential concepts, focuses, and validation process. Moreover, the paper presents a comparison among big data validation tools and several major players in industry are discussed. Furthermore, the primary issues, challenges, and needs are discussed.
随着大数据技术和分析解决方案的快速发展,大数据计算与服务正在成为学术界、产业界和政府服务领域非常热门的研究和应用课题。然而,企业和业务中的数据质量问题越来越多,导致错误的数据成本。目前的研究很少讨论如何有效验证大数据以保证数据质量。本文为大数据验证和质量保证提供了翔实的讨论,包括基本概念、重点和验证过程。此外,本文还对大数据验证工具进行了比较,并对行业中的几个主要参与者进行了讨论。此外,还讨论了主要问题、挑战和需求。
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引用次数: 81
Building Blocks of the Internet of Things 物联网的构建模块
Pub Date : 2016-05-19 DOI: 10.1109/SOSE.2016.36
J. Voas
Five core primitives belonging to most distributed systems are presented. These primitives apply well to systems with large amounts of data, scalability concerns, heterogeneity concerns, temporal concerns, and elements of unknown pedigree with possible nefarious intent. These primitives form the basic building blocks for a Network of 'Things' (NoT), including the Internet of Things (IoT). This talk discusses the underlying and foundational science of IoT. To our knowledge, the ideas and the manner in which the science underlying IoT is presented here is unique.
给出了属于大多数分布式系统的五个核心原语。这些原语很好地应用于具有大量数据、可伸缩性问题、异构问题、时间问题以及具有可能恶意意图的未知血统元素的系统。这些原语构成了“物”网络(NoT)的基本构建块,包括物联网(IoT)。本次演讲将讨论物联网的基础科学。据我们所知,在这里展示物联网背后的科学的思想和方式是独一无二的。
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引用次数: 23
Towards a Mobile Assistive System Using Service-Oriented Architecture 基于面向服务架构的移动辅助系统
Pub Date : 2016-05-19 DOI: 10.1109/SOSE.2016.41
D. Triboan, Liming Luke Chen, Feng Chen
As the aging population grows, age-related diseases show a cohesive increase. Ambient Assistive Living (AAL) systems are being developed and are continually evolving in various areas. While most researchers focus on robust Activity Recognition techniques, this paper investigates some of the architectural challenges of the AAL systems. This study proposes a new system architecture that brings together the service-oriented architecture (SOA), Semantic Web technologies and other methods to address some of the shortfalls in the predecessor system implementations using off-the-shelf and open source components. A partial system implementation is then presented using the proposed system architecture. The system takes some of the key design aspects such as extensibility, reusability, scalability, and maintainability into consideration that can then be seen as a base to further extend the capability of monitoring, collecting, processing and accurately recognising complex or concurrent activities in its overall aim to support assistive living.
随着老龄化人口的增加,与年龄有关的疾病呈现出凝聚力的增加。环境辅助生活(AAL)系统正在开发中,并在各个领域不断发展。虽然大多数研究人员专注于鲁棒的活动识别技术,但本文研究了AAL系统的一些架构挑战。本研究提出了一种新的系统架构,它将面向服务的架构(SOA)、语义Web技术和其他方法结合在一起,以解决使用现成和开源组件的旧系统实现中的一些不足之处。然后使用所建议的系统架构给出部分系统实现。该系统考虑了一些关键的设计方面,如可扩展性、可重用性、可扩展性和可维护性,然后可以将其视为进一步扩展监控、收集、处理和准确识别复杂或并发活动的能力的基础,以支持辅助生活的总体目标。
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引用次数: 8
A Practical Evaluation in Openstack Live Migration of VMs Using 10Gb/s Interfaces 10Gb/s接口虚拟机在Openstack热迁移中的实际评估
Pub Date : 2016-05-19 DOI: 10.1109/SOSE.2016.35
M. Biswas, G. Parr, S. McClean, P. Morrow, B. Scotney
Live Migration (LM) of Virtual Machine (VM) is a process of transferring a working VM from on host to another host of a different physical machine without interfering the VM. In datacentre networks, LM enables flexibility in resource optimisation, fault tolerance and load balancing. However, in real time, the resource consumption and latency of live VM migration reduce these benefits to much less than their potential. In this paper, we present the results of an experimental study that evaluates LM in our unique high speed optical fibre network connecting Northern Ireland, Dublin and Halifax (Canada). We observe that using Pre-Copy LM extra large amounts of stressed memory leads to non convergence over high latency paths. However, using Post-copy LM the total migration time as well as downtime is dominated by specific memory utilisation patterns inside the virtualised guest. We experience variation in total migration time and downtime using Post-Copy LM considering Quality of Service (QoS) parameters, which can have significant impact in the cloud applications performance.
虚拟机的实时迁移(LM)是在不干扰虚拟机的情况下,将正在工作的虚拟机从一台主机转移到另一台物理机的另一台主机的过程。在数据中心网络中,LM可以实现资源优化、容错和负载平衡方面的灵活性。然而,在实时情况下,虚拟机迁移的资源消耗和延迟会大大降低这些好处。在本文中,我们提出了一项实验研究的结果,该研究评估了我们连接北爱尔兰,都柏林和哈利法克斯(加拿大)的独特高速光纤网络中的LM。我们观察到,使用Pre-Copy LM的超大数量的压力内存会导致高延迟路径上的不收敛。但是,使用后复制LM,总迁移时间和停机时间由虚拟客户机内部的特定内存利用模式决定。在使用Post-Copy LM时,考虑到服务质量(QoS)参数,我们经历了总迁移时间和停机时间的变化,这可能对云应用程序性能产生重大影响。
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引用次数: 14
Creative Computing: An Approach to Knowledge Combination for Creativity? 创造性计算:一种促进创造力的知识组合方法?
Pub Date : 2016-05-19 DOI: 10.1109/SOSE.2016.51
Hongji Yang, D. Jing, Lu Zhang
It can be agreeable that human knowledge has been accumulated to a peak level, of which one of the evidences is the coming of Big Data era. It is observed that knowledge combination presently can be a way of innovating new products and new services for people. A challenging issue is how to combine human knowledge intelligently and creatively. It is proposed and visioned that Creative Computing can be one approach to tackling the above challenge. This paper starts with questions such as what Creative Computing is, what research scope Creative Computing has, what assumptions and principles Creative Computing is based on, what new methods Creative Computing will use, what applications Creative Computing will have, and how, in particular, Creative Computing will combine knowledge. By summarising related research studies and projects, it observes the advancement of Creative Computing has enabled broad use of computers in many domains, while combined knowledge are playing key roles in most of them. As an example, the paper will present an attempt for knowledge from different disciplines to be linked and combined via software semantic techniques. Furthermore, the combined knowledge provides the basis of creativity on generating new ideas and solutions, which not only helps on solving problems but also inspires and encourages on innovative activities. Overall, this paper aims to speculate and establish a prospect and imagination of Creative Computing as an effective way for connecting and combining various and vast amount of human knowledge.
人类的知识积累已经达到了一个顶峰,这是无可厚非的,其中一个证据就是大数据时代的到来。可以看出,知识组合目前可以成为一种为人们创造新产品和新服务的方式。一个具有挑战性的问题是如何巧妙而创造性地结合人类的知识。创造性计算是解决上述挑战的一种方法。本文从创造性计算是什么,创造性计算的研究范围是什么,创造性计算基于什么假设和原则,创造性计算将使用什么新方法,创造性计算将有什么应用,特别是创造性计算将如何结合知识等问题开始。通过总结相关的研究和项目,报告指出,创造性计算的进步使计算机在许多领域得到广泛应用,而综合知识在其中大多数领域发挥着关键作用。作为一个例子,本文将展示通过软件语义技术将不同学科的知识链接和组合的尝试。此外,结合的知识为产生新想法和解决方案提供了创造力的基础,这不仅有助于解决问题,而且还激发和鼓励创新活动。总体而言,本文旨在推测和建立创造性计算作为连接和结合人类各种海量知识的有效途径的前景和想象。
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引用次数: 14
Software Crowdsourcing Practices and Research Directions 软件众包实践与研究方向
Pub Date : 2016-05-19 DOI: 10.1109/SOSE.2016.69
Emese Bari, Matt Johnston, Wenjun Wu, W. Tsai
Software crowdsourcing has been a popular topic in software engineering, human computation, social computing, and economics. This paper summarizes important lessons learned from industrial software crowdsourcing as well as key theoretical work related to software crowdsourcing.
软件众包已经成为软件工程、人类计算、社会计算和经济学领域的热门话题。本文总结了工业软件众包的重要经验教训,以及软件众包相关的关键理论工作。
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引用次数: 12
LTBD: A Triage Framework LTBD:分类框架
Pub Date : 2016-05-19 DOI: 10.1109/SOSE.2016.54
W. Tsai, Wu Li, Guanqiu Qi
Log, used for saving the production behaviors in transaction processing system in a cloud, is widely used to triage production failures. Log has posed challenges for cloud as its large volume in data, unstructured formats and untraceable failures. The paper proposes a new logging solution for effective and efficient triaging of the production failures.
日志用于将事务处理系统中的生产行为保存在云中,广泛用于生产故障的分类。日志由于其庞大的数据量、非结构化格式和无法追踪的故障,给云计算带来了挑战。本文提出了一种新的测井解决方案,可以有效地对生产故障进行分类。
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引用次数: 4
Modelling Performance: Generic Formal Processes in Live Digital Performance 建模性能:在现场数字表演通用的正式过程
Pub Date : 2016-05-19 DOI: 10.1109/SOSE.2016.29
Ian Willcock
Most existing accounts of live performance concentrate on the specific features of individual works or on linking works according to commonly observed traits which allow their plausible inclusion in groups identified by authorship, style or genre. Similarly, most integration of digital technology with live performance is bespoke, an adaption of practice and enabling technology that solves only a single creative problem -- that of the specific work being created. This paper takes a different approach, which through considering practice across the range of live performance traditions contributing to contemporary digital performance activity, is able to propose a generic model of live performance which is able to account for the processes and moment to moment connections within live performance across a wide range of styles and genres. The approach is non-taxonomic, but is based on set theory and Boolean logic, the formal unfolding of a live performance is considered as the sum of individual performances generated by semi-autonomous performers. Each performer enacting a series of decisions based on their perceptions of the overall state of the performance (and each others' activity) and a rule-set -- which may be explicit or implicit. Taking a view similar to that of Susan Broadhurst and others in seeing digital performance as an extension of existing performance traditions rather than as a completely, or mainly, new performative genre, the generic model of live performance is then extended to provide a rationale for the integration of digital technology with live performance which does not depend on specific activities or alterations of existing practice by artists or on features belonging to specific performance traditions. The application of the model in a prototype system is briefly described and some further potential implications of the model to provide a framework for analysis of existing digital performance and a template for future creative exploration are identified.
大多数现有的现场表演的描述都集中在个别作品的具体特征上,或者根据普遍观察到的特征将作品联系起来,这些特征使它们能够被作者、风格或流派识别为合理的群体。同样,大多数数字技术与现场表演的整合都是定制的,这是一种实践和技术的适应,只能解决一个创造性的问题——即正在创作的特定作品。本文采用了一种不同的方法,通过考虑各种现场表演传统对当代数字表演活动的贡献,能够提出一种现场表演的通用模型,该模型能够解释现场表演中各种风格和流派的过程和时刻联系。该方法是非分类学的,但基于集合论和布尔逻辑,现场表演的正式展开被认为是由半自主表演者产生的个人表演的总和。每个执行者根据他们对执行的整体状态(以及彼此的活动)和规则集(可能是显式的或隐式的)的感知来制定一系列决策。与苏珊·布罗德赫斯特(Susan Broadhurst)等人的观点类似,他们认为数字表演是现有表演传统的延伸,而不是一种完全或主要的新表演流派,然后扩展现场表演的一般模型,为数字技术与现场表演的整合提供了一个基本原理,这种融合不依赖于艺术家的特定活动或对现有实践的改变,也不依赖于属于特定表演传统的特征。简要描述了模型在原型系统中的应用,并确定了该模型的一些进一步的潜在含义,为分析现有数字性能提供了框架,并为未来的创造性探索提供了模板。
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引用次数: 0
Internet of Things Application Using Tethered MSP430 to Thingspeak Cloud 使用捆绑MSP430到Thingspeak云的物联网应用
Pub Date : 2016-05-19 DOI: 10.1109/SOSE.2016.42
Ahmed I. Abdul-Rahman, C. Graves
Internet of Things (IoT) has evolved from being a vision for the future to being an increasing market reality. Technology companies have dedicated resources and personnel to research into IoT and machine-to-machine (M2M) communication. Internet of Things really involves primarily incorporating sensors to machines and everyday objects. The data from the sensors need to be leveraged by analyzing the data in real time. Cloud applications are tools that help us leverage this acquired data. The objects, tools and environments that we constantly monitor in our daily lives can be made smart and connected to the cloud. This paper is focused on implementing a typical IoT application using a Texas Instrument based MSP430 microprocessor and a cloud based Thingspeak Application. This paper was required as part of a course project at North Carolina A&T State University for an embedded system course.
物联网(IoT)已经从未来的愿景演变为日益增长的市场现实。技术公司有专门的资源和人员来研究物联网和机器对机器(M2M)通信。物联网主要涉及将传感器整合到机器和日常物品上。需要通过实时分析数据来利用来自传感器的数据。云应用程序是帮助我们利用这些获取数据的工具。我们在日常生活中不断监控的物体、工具和环境可以变得智能并连接到云。本文的重点是使用基于德州仪器的MSP430微处理器和基于云的Thingspeak应用程序实现一个典型的物联网应用。这篇论文是北卡罗来纳A&T州立大学嵌入式系统课程项目的一部分。
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引用次数: 48
Creative Zombie Apocalypse: A Critique of Computer Creativity Evaluation 创意僵尸启示录:对电脑创意评估的批判
Pub Date : 2016-04-01 DOI: 10.1109/SOSE.2016.30
Fania Raczinski, Dave Everitt
Using algorithms to generate creative work is a well-established transdisciplinary practice that spans several fields. Accessible and popular coding tools such as Processing and Open Frameworks, as well as the rise of hack spaces have significantly contributed to increased activity in this field. However, beyond art-technology curation and historical contextualisation, evaluation of the resulting artefacts is in its infancy, although several general models of creativity - and its evaluation - exist. There is a perceived distinction between human and computer creativity, whereas we argue that they are effectively the same thing. Computers are made and programmed by people, so it makes sense to measure the creativity of the human influence behind the machine, rather than viewing computers as truly autonomous entities. By concatenating and enhancing existing models of creativity, we propose a framework that takes these issues into account, with a view to evaluating creative work that uses the computer as a medium more effectively.
使用算法来产生创造性的工作是一个成熟的跨学科实践,跨越多个领域。易于使用和流行的编码工具,如处理和开放框架,以及黑客空间的兴起,极大地促进了这一领域活动的增加。然而,除了艺术技术策展和历史背景化之外,对由此产生的人工制品的评估还处于起步阶段,尽管存在几种一般的创造力模型及其评估。人类创造力和计算机创造力之间存在明显的区别,而我们认为它们实际上是同一件事。计算机是由人制造和编程的,因此衡量机器背后人类影响的创造力是有意义的,而不是将计算机视为真正自主的实体。通过连接和增强现有的创造力模型,我们提出了一个考虑到这些问题的框架,以期更有效地评估使用计算机作为媒介的创造性工作。
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引用次数: 5
期刊
2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)
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