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2013 27th International Conference on Advanced Information Networking and Applications Workshops最新文献

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Extensive Simulation Performance Analysis for DSDV, DSR and AODV MANET Routing Protocols DSDV, DSR和AODV MANET路由协议的广泛仿真性能分析
Q. Razouqi, A. Boushehri, M. Gaballah, L. Alsaleh
Mobile Ad-hoc Network (MANET) is a compilation of independent wireless mobile nodes which animatedly forms a temporary network without use of any fixed infrastructure or centralized management. A major anxiety that affects such a network that characterized by dynamically changing topology is the performance, where routing with robustness performance is one of the key challenges in deploying MANET. In this work we concentrate on routing protocols which are widely used in MANET, Destination Sequenced Distance vector (DSDV), Dynamic Source Routing(DSR) and Ad hoc On demand Distance Vector(AODV) routing protocols that are widely simulated in this paper using different scenarios in terms of different Traffic types, constant bit rate(CBR), variable bit rate(VBR) then combining both classes in one scenario to scrutinize the impact of this combination. Routing protocols are analyzed against several performance metrics, Average energy consumption, Average throughput, Normalized routing load (NRL), packet delivery fraction(PDF) and total dropped packets(TDP). Combined traffic results pronounce that DSR and AODV exhibit better behaviors overall the performance metrics examined.
移动自组网(MANET)是一种由独立的无线移动节点组成的动态临时网络,不需要任何固定的基础设施或集中的管理。影响这种以动态变化拓扑为特征的网络的主要担忧是性能,其中具有鲁棒性性能的路由是部署MANET的关键挑战之一。在这项工作中,我们专注于广泛应用于MANET的路由协议,目的地序列距离矢量(DSDV),动态源路由(DSR)和Ad hoc随需应变距离矢量(AODV)路由协议,这些协议在本文中使用不同的场景,根据不同的流量类型,恒定比特率(CBR),可变比特率(VBR),然后在一个场景中结合这两类来仔细检查这种组合的影响。根据几个性能指标对路由协议进行分析,平均能耗、平均吞吐量、标准化路由负载(NRL)、数据包传递分数(PDF)和总丢弃数据包(TDP)。综合流量结果表明,DSR和AODV在测试的性能指标中表现出更好的整体行为。
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引用次数: 45
On the Design of Energy-Aware 3G/WiFi Heterogeneous Networks under Realistic Conditions 现实条件下能量感知3G/WiFi异构网络的设计
S. Taleb, M. Dia, Jamal Farhat, Z. Dawy, Hazem M. Hajj
In this paper, we consider the design of 3G/WiFi heterogeneous networks under realistic operational conditions. The aim is reduce the energy consumed from batteries on mobile devices by utilizing the multiple available wireless interfaces and dynamically switching between 3G and WiFi. We conduct a set of experimental measurements in various network scenarios in order to identify the main components that impact energy consumption in mobile devices while connected to 3G and WiFi networks. The measurement results are then used to derive a generic analytical energy model as a function of the download data size and the effective download bit rate. A basic algorithm to switch dynamically between 3G and WiFi is designed based on the derived analytical energy model. An Android-based mobile application is developed to test the performance of the switching algorithm in real scenarios. Experimental results demonstrate notable energy reduction gains and, thus, highlight the potential benefits of intelligent switching in heterogeneous networks.
本文考虑了现实运行条件下3G/WiFi异构网络的设计。其目的是通过利用多个可用的无线接口,并在3G和WiFi之间动态切换,减少移动设备电池消耗的能量。我们在不同的网络场景下进行了一组实验测量,以确定在连接3G和WiFi网络时影响移动设备能耗的主要组件。测量结果然后用于导出一个通用的解析能量模型,作为下载数据大小和有效下载比特率的函数。基于导出的解析能量模型,设计了3G与WiFi动态切换的基本算法。开发了基于android的移动应用程序,在实际场景中测试了切换算法的性能。实验结果显示了显著的能量降低收益,从而突出了异构网络中智能交换的潜在好处。
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引用次数: 12
A Cloud-Based Framework for Collaborative Data Management in the VPH-Share Project VPH-Share项目中基于云的协同数据管理框架
S. Benkner, Chris Borckholder, M. Bubak, Yuriy Kaniovskyi, Richard Knight, Martin Koehler, Spiros Koulouzis, P. Nowakowski, Steven Wood
The VPH-Share project objective is to store, share, integrate, and link data, information, knowledge, and wisdom about the physiopathology of the human body to enable their reuse within the virtual physiological human community. Therefore, the projects develops a modular and generic data management platform on top of a distributed Cloud infrastructure. The data management platform enables the ontological annotation of VPH-relevant datasets, their provisioning in the Cloud, and supports different data integration approaches. In this paper we present the architecture and implementation of this VPH-Share Cloud and data management platform and we go into detail about two different data integration approaches: relational data mediation, which has been realized on top of a distributed data mediation engine, and semantic data integration, which is supported on the basis of the SPARQL federation extension. Both approaches are examined on top of a project-specific scenario executed in the VPH-Share Cloud environment.
VPH-Share项目的目标是存储、共享、整合和链接有关人体生理病理的数据、信息、知识和智慧,使其能够在虚拟生理人类社区中重用。因此,该项目在分布式云基础设施之上开发了一个模块化和通用的数据管理平台。数据管理平台支持对与php相关的数据集进行本体论注释,在云中提供数据,并支持不同的数据集成方法。在本文中,我们介绍了这个php - share云和数据管理平台的体系结构和实现,并详细介绍了两种不同的数据集成方法:基于分布式数据中介引擎实现的关系数据中介和基于SPARQL联邦扩展支持的语义数据集成。这两种方法都是在php - share Cloud环境中执行的特定于项目的场景之上进行检查的。
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引用次数: 8
Smart Outlet Network for Energy-Aware Services Utilizing Various Sensor Information 利用各种传感器信息的能源感知服务的智能插座网络
N. Morimoto, Y. Fujita, Masaaki Yoshida, H. Yoshimizu, M. Takiyamada, T. Akehi, Masami Tanaka
This paper describes the construction of a smart outlet network as a system for automated energy-aware services utilizing various sensor information. With high-granularity sensing of power consumption of each electrical appliance in home, and with environmental (humidity, temperature, light) sensors and a motion sensor installed on the smart outlets, the appliances are under policy-based automatic control. The authors have deployed the system in real-life environments, and have implemented the following functions and power management policies, 1) visualization of power consumption data of appliances for enhancing energy-awareness, 2) policy-based power control utilizing various sensor information collected at the smart outlets, 3) automatic coordination of multiple or different appliances in both centralized and distributed manners.
本文描述了一个智能插座网络的构建,作为一个利用各种传感器信息的自动化能源感知服务系统。通过高粒度感知家中每台电器的功耗,并在智能插座上安装环境(湿度、温度、光线)传感器和运动传感器,实现基于策略的自动控制。作者将该系统部署在现实环境中,并实现了以下功能和电源管理策略:1)电器功耗数据的可视化,以增强能源意识;2)利用智能插座收集的各种传感器信息进行基于策略的电源控制;3)以集中和分布式方式自动协调多个或不同的电器。
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引用次数: 12
Data Mining Based Analysis of Genomic Location Shifts of Conserved Annotated miRNA Genes gives Preliminary Insights on Molecular Network Evolution 基于数据挖掘的保守注释miRNA基因基因组位置转移分析为分子网络进化提供了初步见解
F. Michon
Micro-RNAs (miRNAs) are key regulators of gene expression. Their post-transcriptional regulatory role was conserved in all eukaryotes during evolution. However, the genomic location of conserved miRNA genes has not been studied in the context of genetic network evolution. This study is based on the data mining of miRNA and genomic annotation databases. An individual retrieval of the genomic location of the 3,216 miRNA genes annotated in Danio rerio, Xenopus tropicalis, Rattus norvegicus, Mus musculus and Homo sapiens genome was performed. Despite a fairly constant proportion of protein coding sequences in vertebrates, approximately 60% of the conserved intergenic miRNA genes reported in zebra fish shift to an intragenic location in human genome. This phenomenon may be explained by duplication and/or transposition mechanisms. The increase of tight regulatory units in higher vertebrates, in which targets of intragenic miRNAs are within the host gene network, emphasized the importance of miRNAs and probably led to the appearance of oncogenic miRNAs (oncomiRs) that are mainly intragenic.
微rna (miRNAs)是基因表达的关键调控因子。在进化过程中,它们的转录后调控作用在所有真核生物中都是保守的。然而,在遗传网络进化的背景下,保守miRNA基因的基因组定位尚未得到研究。本研究基于miRNA和基因组注释数据库的数据挖掘。对达尼奥、热带非洲爪鼠、褐家鼠、小家鼠和智人基因组中注释的3216个miRNA基因的基因组定位进行了单独检索。尽管在脊椎动物中蛋白质编码序列的比例相当恒定,但在斑马鱼中报道的大约60%的保守基因间miRNA基因转移到人类基因组的基因内位置。这种现象可以用重复和/或移位机制来解释。在高等脊椎动物中,基因内mirna的靶点在宿主基因网络内,因此严格调控单元的增加强调了mirna的重要性,并可能导致主要是基因内的致癌mirna (oncomir)的出现。
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引用次数: 0
Evaluation of Java for General Purpose GPU Computing 通用GPU计算的Java评估
J. Docampo, Sabela Ramos, G. L. Taboada, Roberto R. Expósito, J. Touriño, R. Doallo
The presence of many-core units as accelerators has been increasing due to their ability to improve the performance of highly parallel workloads. General Purpose GPU(GPGPU) computing has allowed the graphical units to emerge as successful co-processors that can be employed to improve the performance of many different non-graphical applications with high parallel requirements, which make them suitable for many High Performance Computing workloads. While the main libraries developed to exploit the massive parallel capacity of GPUs are oriented to C/C++ programmers, there have been several efforts to extend this support to other languages. Among them, Java stands out for being one of the most extended languages and there are multiple projects that try to enable Java to take advantage of GPGPU computing. In this scenario, this paper presents an evaluation of the most relevant among the current solutions that exploit GPGPU computing in Java.
多核单元作为加速器的出现越来越多,因为它们能够提高高度并行工作负载的性能。通用GPU(GPGPU)计算使图形单元成为成功的协处理器,可用于提高具有高并行要求的许多不同非图形应用程序的性能,这使得它们适合许多高性能计算工作负载。虽然为利用gpu的大量并行能力而开发的主要库是面向C/ c++程序员的,但已经有一些努力将这种支持扩展到其他语言。其中,Java作为扩展最多的语言之一脱颖而出,并且有多个项目试图使Java能够利用GPGPU计算。在这种情况下,本文给出了在Java中利用GPGPU计算的当前解决方案中最相关的评估。
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引用次数: 21
Modeling Controls for Compliance -- An Analysis of Business Process Modeling Languages 为遵从性建模控制——业务流程建模语言分析
Hans Betke, K. Kittel, Stefan Sackmann
Both external and internal stakeholders are asking companies and other institutions for transparency and compliance. To enforce compliance within their business processes, companies implement controls as the predominant approach to safeguard adherence to rules and regulations. Since modeling controls adequately is important, this contribution analyzes common business process modeling notations with regard to their capability to specify controls. First results show that BPMN 2.0 does not perfectly fit all requirements, however, it clearly outpaces the other languages.
外部和内部利益相关者都要求公司和其他机构保持透明度和合规性。为了在其业务流程中强制执行遵从性,公司将控制作为保障遵守规则和法规的主要方法来实现。由于对控件进行充分的建模是很重要的,因此本文分析了常用的业务流程建模符号指定控件的能力。最初的结果表明,BPMN 2.0并不能完全满足所有需求,但是,它明显优于其他语言。
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引用次数: 11
Semantic and Agent Technologies for Cloud Vendor Agnostic Resource Brokering 云供应商不可知资源代理的语义和代理技术
Alba Amato, Giuseppina Cretella, B. D. Martino, S. Venticinque
The selection of Cloud providers, whose offers best fit the requirements of a particular application, is a complex issue due to the heterogeneity of the Cloud services, resources, technology and service levels offered by the several providers. In order to support this selection and requirements specification, we have developed, in the context of the mOSAIC project, a Knowledge Base, representing resources and domain concepts and rules by means of Semantic Web Ontologies and inference rules, a support tool, the Semantic Engine, that helps the user to abstract the requirements in vendor independent way starting from application requirements or from specific vendor resources, a Cloud Agency, that compares the different offers of providers with the user proposal and retrieves the best offer. In this paper, we illustrate how the two components, the Semantic Engine and the Cloud Agency, interoperate in order to support the Cloud Application Developer to express the requirements and services/resources in vendor agnostic way, to translate automatically these requirements into a neutral format in order to compare it with providers' offers and to broker the best one according to defined policies.
选择最适合特定应用程序需求的云提供商是一个复杂的问题,因为几个提供商提供的云服务、资源、技术和服务级别是异构的。为了支持这种选择和需求规范,我们在mOSAIC项目的背景下开发了一个知识库,通过语义Web本体和推理规则来表示资源和领域概念和规则;一个支持工具,语义引擎,它帮助用户以独立于供应商的方式从应用程序需求或特定供应商资源中抽象需求;它将提供者的不同报价与用户建议进行比较,并检索最佳报价。在本文中,我们说明了语义引擎和云代理这两个组件如何互操作,以支持云应用程序开发人员以与供应商无关的方式表达需求和服务/资源,自动将这些需求转换为中立格式,以便与供应商的报价进行比较,并根据定义的策略代理最佳格式。
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引用次数: 12
MCF: MultiComponent Features for Malware Analysis MCF:恶意软件分析的多组件特性
P. Vinod, V. Laxmi, M. Gaur, Smita Naval, Parvez Faruki
In this paper, we use machine learning techniques for classifying a Portable Executable (PE) file as malware or benign. This is achieved by extracting a new feature also referred to us as MultiComponent Feature composed of (a) PE metadata (b) Principal Instruction Code (PIC)(c) mnemonic bi-gram and (d) prominent unigrams that characterizes malware/benign files. Reduced feature set are obtained using feature selection and reduction methods such as Minimum Redundancy and Maximum Relevance (mRMR), Principal Component Analysis (PCA) and prominent EigenVector Feature (EVF). We demonstrate that amongst mRMR, PCA and EVF, mRMR feature selection method is suitable for extracting optimal PE attributes. The performance of our proposed method is compared with similar work reported in previous literature's and we have found that the detection rate with our methodology is found to be better compared to prior work. This suggest that the proposed method can be used effectively for the identification of malicious files.
在本文中,我们使用机器学习技术将可移植可执行文件(PE)分类为恶意软件或良性文件。这是通过提取一个新特征来实现的,我们称之为多组件特征,该特征由(a) PE元数据(b)主指令代码(PIC)(c)助记双元图和(d)表征恶意软件/良性文件的突出单元组成。利用最小冗余和最大相关(mRMR)、主成分分析(PCA)和显著特征向量特征(EVF)等特征选择和约简方法获得约简特征集。结果表明,在mRMR、PCA和EVF中,mRMR特征选择方法适合于提取最优PE属性。将我们提出的方法的性能与先前文献中报道的类似工作进行比较,我们发现我们的方法的检出率比先前的工作更好。这表明该方法可以有效地用于恶意文件的识别。
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引用次数: 13
Survey of Internet of Things Technologies for Clinical Environments 临床环境物联网技术调查
Pablo López, D. Fernández, A. Jara, A. Gómez-Skarmeta
This work carries out a technical survey about the technologies available for wireless communication of personal clinical devices. The technologies considered are the most extended Internet of Things technologies, they have different purposes and features in order to cover the gaps required to reach a Internet of Things ecosystem, where the clinical devices will be powered with new characteristics such as communications, alerts, analysis, and remote monitoring. These technologies are 6LoWPAN/IEEE 802.15.4, Bluetooth Low Energy (BT-LE), and Near Field Communication (NFC). Each one of these technologies has a function in the context of mhealth and eHealth. NFC is used by a patient to access their current health. BL-LE can be used to gather information from the same room, environment and pathology. And finally 6LoWPAN can be used to check the status of several rooms and even around the hospital by any IPv6 device. This work analyzes each one of the technologies and defines when each technology is more suitable.
本文对个人临床设备的无线通信技术进行了技术调查。所考虑的技术是最广泛的物联网技术,它们具有不同的目的和功能,以覆盖达到物联网生态系统所需的空白,其中临床设备将具有通信,警报,分析和远程监控等新特性。这些技术是6LoWPAN/IEEE 802.15.4,蓝牙低功耗(BT-LE)和近场通信(NFC)。这些技术中的每一种都在移动医疗和电子医疗的背景下发挥作用。病人使用近距离通信来了解他们目前的健康状况。BL-LE可用于收集同一房间、环境和病理的信息。最后,6LoWPAN可以通过任何IPv6设备来检查几个房间甚至医院周围的状态。这项工作分析了每一种技术,并定义了每种技术何时更适合。
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引用次数: 78
期刊
2013 27th International Conference on Advanced Information Networking and Applications Workshops
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