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2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)最新文献

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File Placing Location Optimization on Hadoop SWIM Hadoop SWIM上的文件放置位置优化
Pub Date : 2018-11-01 DOI: 10.1109/CANDARW.2018.00100
Makoto Nakagami, J. Kon, Gil Jae Lee, J. Fortes, Saneyasu Yamaguchi
Hadoop is a popular platform based on the MapReduce model for processing big data. For I/O performance improvement in Hadoop, this paper uses realistic workloads to conduct in-depth evaluations of a method that optimally places file in storage. This method places files in the outer zones of hard disk drives because sequential access in the outer zones is generally faster than in the inner zones. The research reported in this paper goes beyond using an I/O-intensive job example (e.g., TeraSort) to use realistic workloads generated by Statistical Workload Injector for MapReduce (SWIM). First, the CPU and I/O resource usage by SWIM jobs is explored in various settings and then it is shown that a shuffle-heavy workload is I/O bounded. Second, I/O patterns of some SWIM jobs are investigated and it is shown that their accesses are performed sequentially. Third, the proposed method is applied to a shuffle-heavy SWIM job and evaluated, the results demonstrating that the method can improve performance by 14%.
Hadoop是一个基于MapReduce模型处理大数据的流行平台。为了提高Hadoop中的I/O性能,本文使用实际工作负载对优化文件存储的方法进行了深入评估。这种方法将文件放在硬盘驱动器的外部区域,因为外部区域的顺序访问通常比内部区域快。本文报告的研究不仅使用了I/ o密集型作业示例(例如,TeraSort),还使用了统计工作量注入器为MapReduce (SWIM)生成的实际工作负载。首先,研究了在各种设置下SWIM作业对CPU和I/O资源的使用情况,然后显示了重洗刷工作负载是有I/O限制的。其次,研究了一些SWIM作业的I/O模式,结果表明它们的访问是顺序执行的。第三,将该方法应用于一个洗牌较多的SWIM作业并进行了评估,结果表明该方法可将性能提高14%。
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引用次数: 1
An Adaptable Scheduling for Self-Reconfigurable Objects 自重构对象的自适应调度
Pub Date : 2018-11-01 DOI: 10.1109/CANDARW.2018.00068
Mahdillah Mahdillah, Shinya Nakayama, Qian Zhao, Takaichi Yoshida
The execution environment of a real-world distributed system can change dramatically in terms of CPU workload, memory utilization, network traffic, etc. Therefore, an object-oriented distributed environment called Juice was developed in our previous research. Applications developed with Juice have the capability of reconfiguring itself during runtime in order to adapt changes of the execution environment. In this work, we propose a base level adaptable scheduling for the execution of self-reconfigurable objects in Juice. The adaptable scheduler can dynamically change the scheduling policy to meet the user's performance target when the execution environment changed. Evaluation results show that in a low CPU workload environment, FCFS (First Come First Serve) policy has a similar performance with SJF (Shortest Job First) policy and LJF (Longest Job First) policy with lower scheduling overhead. However, when the CPU workload becomes heavy, SJF or LJF has a better response time depending on the ratio of long jobs and the number of worker threads of Juice.
真实的分布式系统的执行环境可能在CPU工作负载、内存利用率、网络流量等方面发生巨大变化。因此,我们在之前的研究中开发了一个名为Juice的面向对象分布式环境。使用Juice开发的应用程序能够在运行时重新配置自身,以适应执行环境的变化。在这项工作中,我们提出了一种基本级别的自适应调度,用于Juice中自重构对象的执行。适应性调度器可以在执行环境发生变化时动态更改调度策略,以满足用户的性能目标。评估结果表明,在低CPU负载环境下,FCFS(先到先服务)策略与SJF(最短作业优先)策略和LJF(最长作业优先)策略具有相似的性能,并且调度开销更低。但是,当CPU工作负载变得繁重时,SJF或LJF的响应时间会更好,这取决于长作业的比例和Juice的工作线程数。
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引用次数: 0
Generalized FSSP on Two Triangular Tilings 两个三角形平铺上的广义FSSP
Pub Date : 2018-11-01 DOI: 10.1109/CANDARW.2018.00013
Luidnel Maignan, Jean-Baptiste Yunès
Maignan and Yunes have already investigated solutions to the generalized firing squad synchronization problem for square tilings with both Moore and Von Neumann neighborhoods, and then shown that the same concepts could be used to handle hexagonal tilings. The communication grids for these cellular space are all very regular in a precise formal sense: they are Cayley graphs. In this paper we investigate the triangular tiling because it is very related to the hexagonal one but is not a Cayley graph. We also consider another tiling of triangles obtained by dividing every square of a square tiling into four triangles. We show that the same concepts still apply, therefore showing that the previous solutions can be extended to a broader class of spaces included in what we may call Cayley Graphs on Groupoïd.
Maignan和Yunes已经研究了具有摩尔和冯·诺伊曼邻域的正方形平铺的广义射击队同步问题的解决方案,然后证明了相同的概念可以用于处理六边形平铺。这些元胞空间的通信网格在一种精确的形式意义上都是非常规则的:它们是凯利图。由于三角形图与六边形图有很大的关系,但它不是Cayley图,因此本文研究了三角形图。我们还考虑另一种三角形的平铺,通过将正方形平铺的每个正方形分成四个三角形得到。我们证明了相同的概念仍然适用,因此表明前面的解可以扩展到更广泛的空间类,包括在Groupoïd上我们可以称之为Cayley图的空间类。
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引用次数: 1
A Flexible Anti-Jamming Channel Hopping for Cognitive Radio Networks 认知无线网络中一种灵活的抗干扰信道跳变
Pub Date : 2018-11-01 DOI: 10.1109/CANDARW.2018.00107
C. Chao, Wei-Che Lee, Cong Wang, Shin-Chung Huang, Yu-Chich Yang
In cognitive radio networks (CRNs), secondary users (SUs) are vulnerable to malicious attacks because an SU node's opportunistic access cannot be protected from adversaries. How to design a channel hopping scheme to protect SU nodes from jamming attacks is thus an important issue in CRNs. Existing anti-jamming channel hopping schemes have some limitations: Some require SU nodes to exchange secrets in advance; some require an SU node to be either a receiver or a sender, and some are not flexible enough. Another issue for existing anti-jamming channel hopping schemes is that they do not consider different nodes may have different traffic loads. In this paper, we propose an anti-jamming channel hopping protocol, Load Awareness Anti-jamming channel hopping (LAA) scheme. Nodes running LAA are able to change their channel hopping sequences based on their sending and receiving traffic. Simulation results verify that LAA outperforms existing anti-jamming schemes.
在认知无线网络(crn)中,辅助用户(SU)容易受到恶意攻击,因为无法保护SU节点的机会访问。因此,如何设计一种信道跳变方案来保护SU节点免受干扰攻击是crn中的一个重要问题。现有的抗干扰信道跳变方案存在一定的局限性:一些方案要求SU节点提前交换秘密;有些要求SU节点既可以是接收方也可以是发送方,有些则不够灵活。现有的信道跳变抗干扰方案存在的另一个问题是没有考虑到不同节点可能具有不同的业务负载。本文提出了一种抗干扰跳频协议——负载感知抗干扰跳频(LAA)方案。运行LAA的节点能够根据它们的发送和接收流量改变它们的信道跳变序列。仿真结果验证了该方法优于现有的抗干扰方案。
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引用次数: 4
C4: An FPGA-based Compression Algorithm for ExpEther 基于fpga的ExpEther压缩算法
Pub Date : 2018-11-01 DOI: 10.1109/CANDARW.2018.00072
Hideki Shimura, Hiroyuki Noda, H. Amano
PCI Express (PCIe) has been widely used as an I/O bus connecting CPU and GPUs. In order to resolve the limitation of the number of PCIe ports, NEC Corporation developed ExpEther for expanding PCIe to Ethernet. Since Ethernet often becomes a bottleneck of communication, a conventional research proposed to implement a compression/decompression mechanism by using existing data compression mechanisms to reduce the size of data transferring on Ethernet. However, data compression mechanisms used in the research were only efficient for a limited input data pattern. In this paper, we proposed a novel data compression algorithm called C4, and implemented it on Xilinx Virtex-7 FPGA as an experimental environment of ExpEther. As a result, the proposed method can reduce the transfer time by 52.5%, superior to 49.7% with the conventional method. According to the evaluation of the hardware resource utilization rate, we showed that the proposed algorithm can be implemented in the FPGA used in the ExpEther NIC.
PCI Express (PCIe)作为连接CPU和gpu的I/O总线已经得到了广泛的应用。为了解决PCIe端口数量的限制,NEC公司开发了将PCIe扩展到以太网的ExpEther。由于以太网经常成为通信的瓶颈,传统的研究提出利用现有的数据压缩机制来实现压缩/解压缩机制,以减少以太网上的数据传输规模。然而,研究中使用的数据压缩机制仅对有限的输入数据模式有效。本文提出了一种新的数据压缩算法C4,并在Xilinx Virtex-7 FPGA上实现,作为ExpEther的实验环境。结果表明,该方法可将传递时间缩短52.5%,优于传统方法的49.7%。通过对硬件资源利用率的评估,我们证明了所提出的算法可以在用于ExpEther网卡的FPGA上实现。
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引用次数: 0
Handover Algorithm for Video Communications by Sharing Communication Quality Information of Access Points between Terminals 终端间共享接入点通信质量信息的视频通信切换算法
Pub Date : 2018-11-01 DOI: 10.1109/CANDARW.2018.00017
Atsushi Takei, S. Kimura
In recent years, the demand for multimedia services that can handle voice and/or videos on mobile terminals has increased. Many handover algorithms have been proposed for switching the connection between different networks while maintaining QoE (Quality of Experience), which is a metric that is a meas-ure of users' satisfaction when using a certain service or ap-plication. The QoE-driven VHO algorithm is one of such al-gorithms using a prediction model of QoE for movies streamed over wireless networks. Since the algorithm may not provide an acceptable level of quality when network perfor-mance temporarily decreases, the authors also proposed an algorithm (hereinafter referred to as the "previous algo-rithm") to improve the problem. However, since these algo-rithms cannot predict QoE of candidate networks before switching, the connection may be switched to a network with much lower QoE. In order to solve the problem, this paper proposes a new handover algorithm for video communications by sharing communication quality information of access points between terminals. In this algorithm, each mobile ter-minal creates a list specifying the communication quality of the connected access point and shares it with other terminals. The simulation results show that terminals in the proposed method can connect to the access points with better QoE for longer durations than the QoE-driven VHO algorithm and the previous algorithm.
近年来,人们对能够在移动终端上处理语音和/或视频的多媒体业务的需求不断增加。已经提出了许多切换算法,用于在保持QoE(体验质量)的同时在不同网络之间切换连接,QoE是一种度量用户在使用特定服务或应用程序时满意度的度量。QoE驱动的VHO算法是利用无线网络流媒体电影的QoE预测模型的一种算法。由于该算法在网络性能暂时下降时可能无法提供可接受的质量水平,因此作者还提出了一种算法(以下简称“前一算法”)来改进该问题。然而,由于这些算法在切换之前无法预测候选网络的QoE,因此连接可能会切换到QoE低得多的网络。为了解决这一问题,本文提出了一种基于终端间接入点通信质量信息共享的视频通信切换算法。在该算法中,每个移动终端创建指定所连接接入点的通信质量的列表,并与其他终端共享该列表。仿真结果表明,与QoE驱动的VHO算法和之前的算法相比,该方法的终端能够以更好的QoE连接到接入点,且连接时间更长。
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引用次数: 0
Optimization of Delivery Considering Redelivery and Loading Methods 考虑再交货和装货方法的交货优化
Pub Date : 2018-11-01 DOI: 10.1109/CANDARW.2018.00071
Daiki Ojima, M. Uehara, T. Mihara
Delivering packages door-to-door is convenient because of its accuracy and speed. Recently, such delivery services have become widely used for online shopping. However, package delivery may sometimes fail to be completed in the specified time window because of the large number of packages. Therefore, it is important to optimize the delivery distance. This distance depends on the location of customers and whether they are absent. In this paper, we examine several cases of loading packages by considering redelivery, and evaluate delivery distance using the branch and bound method and the genetic algorithm. From the results, we conclude that the delivery distance depends on the probability of redelivery, and that the optimum order for visiting customers depends on their locations.
送货上门很方便,因为它的准确性和速度。最近,这种快递服务已被广泛用于网上购物。但是,由于包裹数量较多,有时可能无法在规定的时间窗口内完成包裹交付。因此,优化配送距离十分重要。这个距离取决于客户的位置以及他们是否不在。本文研究了考虑再投递的几种情况,并利用分支定界法和遗传算法对投递距离进行了评估。结果表明,配送距离取决于顾客再配送的概率,而顾客的最优订单取决于顾客所处的位置。
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引用次数: 0
An Error Corrector for Dynamically Accuracy-Configurable Approximate Adder 动态精度可配置近似加法器的误差校正
Pub Date : 2018-11-01 DOI: 10.1109/CANDARW.2018.00034
Tomoaki Ukezono
To reduce power consumption, approximate computing is an efficient approach for error-tolerant applications such as image processing. Approximate arithmetic adders can be used for the approximate computing, and can trade off accuracy for power. CMA, a dynamically accuracy-configurable approximate adder, had been proposed. CMA can sharply reduce power consumption compared with other accuracy-configurable approximate adders, while allowing it to change accuracy-setting at run-time. In this paper, we propose a tiny error corrector for CMA that needs to only two gates for each digit. By consuming 1.4% extra power, the proposed value corrector can improve accuracy for CMA by up to 29.3% on average.
为了降低功耗,近似计算是图像处理等容错应用的有效方法。近似算术加法器可以用于近似计算,并且可以以精度换取功率。提出了一种动态精度可配置的近似加法器CMA。与其他精度可配置的近似加法器相比,CMA可以大幅降低功耗,同时允许它在运行时改变精度设置。在本文中,我们提出了一种微小的CMA纠错器,每个数字只需要两个门。通过消耗1.4%的额外功率,所提出的数值校正器可以将CMA的精度平均提高29.3%。
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引用次数: 1
A New Design for Evaluating Moving Target Defense System 一种评估运动目标防御系统的新设计
Pub Date : 2018-11-01 DOI: 10.1109/CANDARW.2018.00111
Wai Kyi Kyi Oo, Hiroshi Koide, Danilo Vasconcellos Vargas, K. Sakurai
Moving Target Defense (MTD) concept has been a feasible idea for reducing the possibility of attack happening through alternation attack surfaces or diversification the attribute or parameters of a protected system. As a result of applying MTD techniques to the system, an attacker would have more difficulties in exploiting a vulnerabilities of the target system. This study proposes an evaluation method of MTD systems combined with several different MTD techniques. The proposed method is a primary step in designing an evaluation model for the effectiveness of MTD. The main goal is to estimate the attack success ratio on the MTD systems mitigating from threats of executable binary file or malware injection. With the proposed evaluation method, we expect to prove that the MTD technology can enhance the security of a web server, and can be applied in a real-world information system. As our preliminary work done, we set up a prototype framework to validate the proposed work in a pseudo-experimental environment.
移动目标防御(MTD)概念是通过改变攻击面或使被保护系统的属性或参数多样化来减少攻击发生的可能性的一种可行的思想。将MTD技术应用于系统的结果是,攻击者在利用目标系统的漏洞时会遇到更多困难。本文提出了一种结合多种不同MTD技术的MTD系统评价方法。该方法是设计MTD有效性评价模型的第一步。主要目标是估计MTD系统免受可执行二进制文件或恶意软件注入威胁的攻击成功率。通过提出的评估方法,我们期望证明MTD技术可以提高web服务器的安全性,并且可以应用于实际的信息系统中。在我们的初步工作完成后,我们建立了一个原型框架来验证在伪实验环境中提出的工作。
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引用次数: 2
System Optimum Traffic Assignment for Connected Cars 网联汽车系统最优交通分配
Pub Date : 2018-11-01 DOI: 10.1109/CANDARW.2018.00074
Weibin Wang, M. Uehara, H. Ozaki
Traffic jams are a serious issue in urban life. Conventional car navigation systems are based on user equilibrium (UE) traffic assignment, in which a driver always chooses the best route. System optimal (SO) traffic assignment is better than UE traffic assignment. However, it is difficult to realize SO because of a lack of complete traffic information. In the near future, almost all cars will be connected to the cloud. This means that complete traffic information can be collected by connected cars. In this paper, we describe an SO-based navigation method. In our method, the cloud detects SO traffic assignment using collected traffic information. We also evaluate the proposed method for several cases.
交通堵塞是城市生活中的一个严重问题。传统的汽车导航系统基于用户均衡(UE)交通分配,驾驶员总是选择最优路线。系统最优(SO)业务分配优于终端业务分配。然而,由于缺乏完整的交通信息,SO很难实现。在不久的将来,几乎所有的汽车都将连接到云。这意味着联网汽车可以收集完整的交通信息。在本文中,我们描述了一种基于so的导航方法。在我们的方法中,云利用收集的交通信息检测SO交通分配。我们还对几个案例进行了评估。
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引用次数: 2
期刊
2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)
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