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A Heterogeneous Network Sharing System Design with Incentive Scheme 具有激励机制的异构网络共享系统设计
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0100
Yu-Ching Lin, Ying-Chuan Chen
The information and communication technologies (ICT) integrate different types of wireless communication technologies to provide IT-enabled services and applications. Our goal is to integrate the available wireless communication technologies to enhance seamless communication efficiency and increase resources utilization. We proposed a heterogeneous network management algorithm which includes roaming and sharing functions. The roaming function provides the multiple network resources in physical and media access control layers. The sharing function supports multiple network resource allocation and the service handover process in network and application layers. By applying the incentive scheme, it also encourage users to share the available resources. The simulation result also shows that the proposed scheme can increase the network bandwidth utilization effectively. The sharing system could be used in home, mobile and vehicular environments to realize ubiquitous social sharing networks.
资讯及通讯科技整合了不同类型的无线通讯技术,以提供资讯科技服务和应用。我们的目标是整合现有的无线通信技术,以提高无缝通信效率,提高资源利用率。提出了一种包含漫游和共享功能的异构网络管理算法。漫游功能提供了物理层和媒体访问控制层的多种网络资源。共享功能支持多个网络资源的分配以及网络层和应用层的业务切换过程。通过实施奖励计划,它还鼓励用户分享现有资源。仿真结果表明,该方案能有效提高网络带宽利用率。该共享系统可应用于家庭、移动和车载环境,实现无处不在的社交共享网络。
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引用次数: 0
Congestion Control under Traffic Awareness in Wireless Sensor Networks 基于流量感知的无线传感器网络拥塞控制
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0093
Chia-Hsu Kuo, Tzung-Shi Chen, Zhengnan Wu
Congestion control is an important mechanism in wireless sensor networks (WSNs). In this paper, we discuss congestion control and the traffic-aware problem for sensor nodes in WSNs. Congestion may cause serious problems such as packet loss, the consumption of power, and low network throughput for sensor nodes. Hence, we propose a distributed congestion control protocol called traffic-aware congestion control protocol (TACCP). Through the buffer management mechanism, the TACCP can avoid packet loss because of traffic congestion, reduce the power consumption of nodes, and improve the network throughput. Experimental results show that the proposed TACCP can effectively improve network performance.
拥塞控制是无线传感器网络中的一个重要机制。本文讨论了无线传感器网络中传感器节点的拥塞控制和流量感知问题。拥塞可能会导致传感器节点丢包、功耗大、网络吞吐量低等严重问题。因此,我们提出了一种分布式拥塞控制协议,称为流量感知拥塞控制协议(TACCP)。通过缓冲区管理机制,TACCP可以避免由于流量拥塞造成的丢包,降低节点功耗,提高网络吞吐量。实验结果表明,提出的TACCP可以有效地提高网络性能。
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引用次数: 4
Efficient Virtualization-Based Fault Tolerance 基于虚拟化的高效容错
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0031
Po-Jui Tsao, Yi-Feng Sun, Li-Han Chen, Chuan-Yu Cho
Virtualization technology has been widely adopted to enable elastic IT infrastructure, with improved manageability and increased service reliability. Especially, virtualization technology could provide a unique benefit to protect any legacy application systems from hardware failures. The reliability of virtual machines running on virtualized servers is not only threatened by hardware failures beneath the whole virtual infrastructure, but also nosy hypervisors that essentially support virtual machines cannot be trusted. In this paper, a virtualization-based fault tolerance mechanism using epoch-based (checkpoint-based) synchronization is proposed, and several performance optimization technologies are applied including a non-stop/pipelined, continuously migration, dirty tracking for guest virtual memory/virtual device status, and eliminate data transfer between QEMU and KVM. The experimental results show that these optimizations have greatly saved the processor usage, synchronization bandwidth and have significantly improved VM network throughput and latency at the same time.
虚拟化技术已被广泛采用,以实现弹性IT基础设施,提高可管理性和服务可靠性。特别是,虚拟化技术可以提供独特的好处,以保护任何遗留应用程序系统免受硬件故障的影响。运行在虚拟服务器上的虚拟机的可靠性不仅受到整个虚拟基础设施下硬件故障的威胁,而且本质上支持虚拟机的聒噪管理程序也不可信。本文提出了一种基于时间(checkpoint)同步的虚拟化容错机制,并应用了不间断/流水线化、连续迁移、客户虚拟内存/虚拟设备状态脏跟踪、消除QEMU和KVM之间的数据传输等性能优化技术。实验结果表明,这些优化大大节省了处理器使用量和同步带宽,同时显著提高了虚拟机网络吞吐量和延迟。
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引用次数: 3
Experimental Functionality Development for Scratch Mathematical and Statistics Extensions Scratch数学和统计扩展的实验功能开发
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0131
Ching Chang, Ya-Lun Chin, Chih-Kai Chang
Computer science education is to teach students to solve problems, design systems, provoke creativity, and explore their own interest by using basic concepts of computer science. From science to the humanities, mathematics and logical thinking ability also affect every aspect of computer science education. To foster mathematics logical thinking and problem-solving ability in primary and secondary schools, students not only require to learn to read, writing, and arithmetic, but also need to understand the abstraction of mathematics operations and logical thinking processes. Therefore, this study uses visual programming language as a basis, i.e. Scratch 2.0 offline edition, to introduce abstraction of mathematics operations. Scratch 2.0 can empower learners using graphical elements to solve mathematics problems with a smooth learning curve through user-friendly programming interface. However, the latest version of Scratch 2.0 does not include enough functions for abstracting mathematical blocks. Consequently, this study integrates Scratch programming environment with math library of Python language to expand functionality and improve usability of Scratch. Moreover, learners are expected to learn and practice more about mathematical thinking through those additional Scratch building blocks.
计算机科学教育是运用计算机科学的基本概念,教会学生解决问题,设计系统,激发创造力,探索自己的兴趣。从自然科学到人文科学,数学和逻辑思维能力也影响着计算机科学教育的各个方面。为了培养中小学生的数学逻辑思维和解决问题的能力,学生不仅需要学会阅读、写作和算术,还需要了解数学运算的抽象和逻辑思维过程。因此,本研究以可视化编程语言为基础,即Scratch 2.0离线版,引入数学运算的抽象。Scratch 2.0可以让学习者使用图形元素,通过用户友好的编程界面,以平滑的学习曲线来解决数学问题。然而,最新版本的Scratch 2.0没有包含足够的函数来抽象数学块。因此,本研究将Scratch编程环境与Python语言的数学库相结合,以扩展Scratch的功能并提高其可用性。此外,学习者希望通过这些额外的Scratch构建块来学习和练习更多的数学思维。
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引用次数: 6
An Effective Approach for Cloud-Based Microbial Metagenomics Analysis 基于云的微生物宏基因组分析的有效方法
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0016
Jia Lin, Wen-Qing Luo, Wen-Pei Chen, M. Liou, Suh Jen Tsai, Yaw-Ling Lin
The growth of public DNA sequence and metagenomic data over the last two decades has been exponential. Bioinformatics researchers are confronted with analysis of massive data sets, while the problem is still growing at an alarming rate in the near future. In this paper, we integrate many open source software tools in biological sequences analysis to construct an effective cloud-based microbial metagenomics analysis tool. The proposed method incorporates the Hadoop framework, with combination of data analysis and data storage, which makes the analysis tools more efficient to work with Big Data behind the ever growing metagenomic DNA sequences.
在过去的二十年中,公共DNA序列和宏基因组数据呈指数级增长。生物信息学研究人员面临着海量数据集的分析问题,而这个问题在不久的将来仍将以惊人的速度增长。在本文中,我们整合了生物序列分析中的许多开源软件工具,构建了一个有效的基于云的微生物宏基因组分析工具。提出的方法结合Hadoop框架,将数据分析和数据存储相结合,使分析工具更高效地处理日益增长的宏基因组DNA序列背后的大数据。
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引用次数: 0
A Low-Complexity 2-D Angle of Arrival Estimation in Massive MIMO Systems 大规模MIMO系统中低复杂度二维到达角估计
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0146
Meng-Jie Wang, Jheng-Liang Cai, F. Tseng, Chao-Yuan Hsu
Massive multiple-input multiple-output (MIMO) systems are promising technology to greatly increase the spectral efficiency for the 5G cellular system. However, the implementation is practically a challenge due to the limitation of cost, space, and complexity. Though the millimeter-wave (mm-wave) transmission can greatly save the space for deploying numerous antennas, the demand on the numerous RF chains increases the implementation cost significantly. The hybrid structures of sub-array antennas are then developed to alleviate the cost, where the entire array is grouped into several sub-arrays. All antennas in a subarray share a common RF chain, which greatly reduces the complexity. Furthermore, the downlink channel state information (CSI) is crucial for several pre-processing technologies such as precoding. Nevertheless, the CSI estimation is difficult due to the large dimension of a channel matrix. Accordingly, CSI estimation by the structured channel matrix is attractive since only few unknown angle-of-arrivals (AoA) and deterministic signatures can model the CSI. Estimation of CSI is equivalent to estimating the AoA. In this paper, we propose a new AoA estimation by using estimating signal parameters via rotational invariance technique (ESPRIT) for the massive MIMO system with two kinds of hybrid subarrays, referred to side-by-side and interleave sub-arrays. Numerical results validate the proposed AoA estimation and show that the proposed AoA estimation with side-by-side sub-arrays can approach to the fully-digitized arrays while keeping a lower computational complexity.
大规模多输入多输出(MIMO)系统是极大提高5G蜂窝系统频谱效率的有前途的技术。然而,由于成本、空间和复杂性的限制,实现实际上是一个挑战。虽然毫米波传输可以大大节省部署众多天线的空间,但对众多射频链的需求大大增加了实施成本。然后,为了降低成本,开发了子阵列天线的混合结构,将整个阵列分成几个子阵列。子阵列中的所有天线共用一条射频链,大大降低了复杂度。此外,下行信道状态信息(CSI)对于预编码等预处理技术至关重要。然而,由于信道矩阵的大维度,CSI估计是困难的。因此,由于只有少数未知到达角(AoA)和确定性特征可以对CSI进行建模,因此通过结构化通道矩阵估计CSI是有吸引力的。CSI的估计相当于AoA的估计。本文提出了一种基于旋转不变量技术(ESPRIT)估计信号参数的大规模MIMO系统混合子阵列(并排子阵列和交错子阵列)的AoA估计方法。数值结果验证了所提出的AoA估计,并表明所提出的并行子阵列AoA估计可以接近全数字化阵列,同时保持较低的计算复杂度。
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引用次数: 6
Efficient Multi-Radio Selections for Device-to-Device in Wireless Cellular Networks 无线蜂窝网络中设备对设备的高效多无线电选择
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0037
Te-Chuan Chiu, Ya-Ju Yu, Shih-Fan Chou, Yu-Ting Tsai, Ai-Chun Pang
Recently, Cisco has predicted that there will be an explosive growth of the mobile data traffic such that video streaming will account for nearly 70% total demand. To foresee such heavy burden in each eNB, Device-to-Device (D2D) technology is a promising solution to do data offloading while maintain acceptable service quality. In this paper, we first target on two different D2D interfaces, Wi-Fi and LTE direct, and propose an efficient multi-radio selection scheme by dynamic programming design approach for video streaming in wireless cellular networks. To minimize total LTE radio resource usage, we leverage D2D technology and adaptively select the different transmission links to meet QoS requirement of each user. Since the data rate of Wi-Fi transmission link is hard to correctly evaluate, we conduct a series of experiments under realistic interference environment to measure the actual capacity of Wi-Fi transmission links. Besides, we also study related works about general capacity predict model to take both measurement and mathematical model into consideration for designing our solution. The simulation results show that the proposed scheme can significantly reduce the LTE radio resource usage and successfully do data offloading for each eNB in wireless cellular networks.
最近,思科预测移动数据流量将出现爆炸式增长,视频流将占总需求的近70%。为了预见到每个eNB中如此沉重的负担,设备到设备(Device-to-Device, D2D)技术是一种很有前途的解决方案,可以在保持可接受的服务质量的同时进行数据卸载。本文首先针对Wi-Fi和LTE direct两种不同的D2D接口,采用动态规划设计方法提出了一种高效的无线蜂窝网络视频流多无线电选择方案。为了最大限度地减少LTE无线电资源的总使用量,我们利用D2D技术,自适应地选择不同的传输链路,以满足每个用户的QoS要求。由于Wi-Fi传输链路的数据速率难以正确评估,我们在真实干扰环境下进行了一系列实验,测量Wi-Fi传输链路的实际容量。此外,我们还研究了通用容量预测模型的相关工作,以便在设计方案时兼顾测量和数学模型。仿真结果表明,该方案可以显著减少LTE无线资源的使用,并成功地实现了无线蜂窝网络中每个eNB的数据卸载。
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引用次数: 2
An Extended SDN-Based In-Network Caching Service for Video on Demand 基于扩展sdn的视频点播网络缓存服务
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0040
Wei-Kuo Chiang, Tsung-Ying Li
The network traffic has been growing explosively in recent years after users can watch the high quality video from the Internet. It is an important issue to reduce network traffic and increase the user quality of experience (QoE). Therefore, there have been in-network caching schemes to cache the content fetched by users in proxy servers. Recently, software defined networking (SDN) was proposed to implement the network function by the virtualization function. Programmers can implement the customized network functions by the SDN architecture. This paper proposes an extended SDN-based caching service architecture, abbreviated as ESC. The ESC decomposes the function of inspecting incoming traffic, making cache decision, and storing cache content into three types of network entities: an extended OpenFlow (DPI-based) switch, a cache controller, and cache nodes. This design can lessen the load of single network entity. Moreover, the ESC can cache different parts of a video in distinct cache nodes. The distributed content storage mechanism can increase the cache capability and the system flexibility. In addition, we use M/M/1 queuing model to analyze the average queuing delay time, and compare the ESC queuing delay time with the C-flow and the OpenCache. The results in numerical analysis show that the ESC average queuing delay is shorter than the other two.
近年来,在用户可以从互联网上观看高质量视频后,网络流量呈爆炸式增长。如何减少网络流量,提高用户体验质量(QoE)是一个重要的问题。因此,出现了网络内缓存方案,将用户获取的内容缓存到代理服务器中。近年来,软件定义网络(SDN)被提出,通过虚拟化功能来实现网络功能。程序员可以通过SDN架构实现定制的网络功能。本文提出了一种扩展的基于sdn的缓存服务体系结构,简称ESC。ESC将传入流量检测、缓存决策和缓存内容存储功能分解为三种类型的网络实体:扩展OpenFlow(基于dpi)交换机、缓存控制器和缓存节点。这种设计可以减轻单个网络实体的负载。此外,ESC可以在不同的缓存节点中缓存视频的不同部分。分布式内容存储机制可以提高缓存能力和系统的灵活性。此外,我们使用M/M/1排队模型分析了平均排队延迟时间,并将ESC排队延迟时间与C-flow和OpenCache进行了比较。数值分析结果表明,ESC算法的平均排队延迟比其他两种算法短。
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引用次数: 3
LOOCV-GRBFCM Performance Evaluation LOOCV-GRBFCM性能评估
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0020
C. Chou, Kuen-Tsann Chen
Finite element method (FEM) must be created the element mesh, it is very tedious and time-consuming. A novel meshless method doesn't require generating the element mesh, it reduces a large amount of computational and human time. The shape parameter plays a key role of meshless methods, the authors usually choose the shape parameter by trial and error or some other ad-hoc means. This study will propose LOOCV-GRBFCM to choose a "GOOD" shape parameter and solve problems automatically and practically. Performance evaluations will also be presented. We hope these results to support useful suggestions.
有限元法(FEM)必须创建单元网格,非常繁琐且耗时。一种新的无网格方法不需要生成单元网格,大大节省了计算时间和人工时间。形状参数在无网格方法中起着至关重要的作用,作者通常通过试错法或其他特殊方法来选择形状参数。本研究将提出LOOCV-GRBFCM来选择一个“好的”形状参数,并自动、实用地解决问题。还将提出业绩评价。我们希望这些结果能够支持有用的建议。
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引用次数: 0
Energy Balanced Pressure Routing Protocol for Underwater Sensor Networks 水下传感器网络能量平衡压力路由协议
Pub Date : 2016-12-01 DOI: 10.1109/ICS.2016.0050
Wang Kun, Tian Yuzhen, Shi Yinhua
To adapt to the underwater application environment and extend network lifecycle, an improved protocol called energy balanced pressure routing (EBPR) is proposed in this paper. EBPR is based on void-aware pressure routing (VAPR). In VAPR, determination of beacon cycle is related to node velocity. However, the node velocity is difficult to get without assisted positioning system, and it has certain difference at different positions. EBPR proposes a different method to determine cycle based on sensor node's feedback without knowledge of node velocity. Besides, EBPR introduces the residual energy into the next hop selection process to balance energy consumption of node and postpone the sparse process of network. At the same time, a routing reconstruct mechanism is proposed to help node who missing the routing construct process to update routing information with the help of redundant information in aware packets. In this paper, we simulate the two protocols using OMNeT++. Result shows that two protocols have almost the same data delivery ratio. However, at the aspect of lifecycle, EBPR can extend by 10% ~ 30% under low water velocity. This advantage will decrease as the increase of node velocity, but not weaker than VAPR.
为了适应水下应用环境,延长网络生命周期,本文提出了一种改进的能量均衡压力路由(EBPR)协议。EBPR基于空隙感知压力路由(VAPR)。在VAPR中,信标周期的确定与节点速度有关。但是,在没有辅助定位系统的情况下,节点速度很难得到,并且在不同位置节点速度有一定的差异。EBPR提出了一种在不知道节点速度的情况下,基于传感器节点反馈来确定周期的方法。此外,EBPR将剩余能量引入到下一跳选择过程中,以平衡节点的能量消耗,延缓网络的稀疏过程。同时,提出了一种路由重构机制,帮助错过路由构建过程的节点利用感知报文中的冗余信息更新路由信息。本文利用omnet++对这两种协议进行了仿真。结果表明,两种协议的数据传输比基本一致。在低水速条件下,EBPR的寿命可延长10% ~ 30%。这种优势会随着节点速度的增加而减小,但不会弱于VAPR。
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引用次数: 7
期刊
2016 International Computer Symposium (ICS)
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