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2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)最新文献

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A knowledge management approach for testing open source software systems 用于测试开源软件系统的知识管理方法
T. Abdou, Pankaj Kamthan
The development of open source software (OSS), and their deployment by general public as well as by different types of organizations, has increased manifold over the past decade or so. In spite of the ubiquity of OSS, the quality of many OSS remains questionable. Testing provides a curative approach for OSS quality assurance, and a comprehensive approach to testing is a knowledge-intensive endeavor. The management of knowledge in the OSS test process forms a perpetual cycle of creation, dissemination, and acquisition of test knowledge.
开放源码软件(OSS)的开发,以及它们在公众和不同类型的组织中的部署,在过去十年左右的时间里已经增加了很多。尽管OSS无处不在,但许多OSS的质量仍然值得商榷。测试为OSS质量保证提供了一种治疗性的方法,而全面的测试方法是一项知识密集型的工作。OSS测试过程中的知识管理形成了测试知识的创造、传播和获取的永久循环。
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引用次数: 3
EPPI: An E-cent-based privacy-preserving incentive mechanism for participatory sensing systems EPPI:参与式传感系统中基于e美分的隐私保护激励机制
Xiaoguang Niu, Meng Li, Qianyuan Chen, Qingqing Cao, Houzhen Wang
The proliferation of mobile devices has facilitated the prevalence of participatory sensing applications in which participants collect and share information in their environments. The design of a participatory sensing application confronts two challenges: “privacy” and “incentive” which are two conflicting objectives and deserve deeper attention. Inspired by physical currency circulation system, this paper firstly proposes E-cent, a unit bearer currency. It is exchangeable, and participants can utilize it to participate in tasks anonymously. By employing E-cent, we further propose an E-cent-based privacy-preserving incentive mechanism, called EPPI, which exploits a pledge-based participating protocol to encourage participants to participate without revealing privacy and prohibit participants from sending false data. EPPI also takes advantage of a dynamic reward allocation scheme to maximize the value of the services under a budget constraint. To the best of our knowledge, EPPI is the first attempt to build an incentive mechanism while maintaining the desired privacy-preserving in participatory sensing systems. Extensive simulation and analysis results show that EPPI can achieve high anonymity level and remarkable incentive effects.
移动设备的普及促进了参与式传感应用的普及,参与者在其环境中收集和共享信息。参与式传感应用的设计面临着“隐私”和“激励”这两个相互冲突的目标的挑战,值得深入关注。受实物货币流通体系的启发,本文首先提出了单位不记名货币e分。它是可交换的,参与者可以使用它来匿名参与任务。通过使用E-cent,我们进一步提出了一种基于E-cent的隐私保护激励机制,称为EPPI,它利用基于承诺的参与协议来鼓励参与者在不泄露隐私的情况下参与,并禁止参与者发送虚假数据。EPPI还利用动态奖励分配方案,在预算约束下实现服务价值最大化。据我们所知,epi是第一次尝试在参与式传感系统中建立激励机制,同时保持期望的隐私保护。大量的仿真和分析结果表明,EPPI具有较高的匿名性和显著的激励效果。
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引用次数: 17
Replica placement in content delivery networks with stochastic demands and M/M/1 servers 具有随机需求和M/M/1服务器的内容分发网络中的副本放置
Chenkai Yang, Liusheng Huang, Bing Leng, Hongli Xu, Xinglong Wang
Content Delivery Network (CDN) is proposed for replicating data objects at multiple locations in the network and encounters vast potential for future development, as a result of which, a number of replica placement techniques have been proposed over the last decade. However, most of the existing works on replica placement (RP) ignore the statistical property of the demands and the restricted service rate of the servers. In this paper, we investigate the techniques of replica placement in CDNs with stochastic demands and M/M/1 servers to optimize the overall performance in the network. We first model the demands and the servers as independent Poisson streams and simple M/M/1 queueing systems, respectively. Then, a formal definition and formalization of RP problem will be given. We show that RP problem is NP-complete and propose two heuristic algorithms: Greedy Dropping (GD) and Tabu Search (TS). We conduct abundant simulation experiments to evaluate the performance of our proposed algorithms. According to our simulation results, both of the two algorithms are efficient in finding a feasible solution with high probability. Especially, the TS decreases the average delay of the demands about 50% on average.
内容分发网络(CDN)被提出用于在网络中的多个位置复制数据对象,并且在未来的发展中具有巨大的潜力,因此,在过去的十年中已经提出了许多副本放置技术。然而,现有的关于副本放置(RP)的工作大多忽略了需求的统计特性和服务器的受限服务率。在本文中,我们研究了随机需求cdn和M/M/1服务器中的副本放置技术,以优化网络的整体性能。我们首先将需求和服务器分别建模为独立的泊松流和简单的M/M/1排队系统。然后,给出RP问题的形式化定义和形式化。我们证明了RP问题是np完全的,并提出了两种启发式算法:贪婪丢弃(GD)和禁忌搜索(TS)。我们进行了大量的仿真实验来评估我们提出的算法的性能。仿真结果表明,两种算法都能有效地找到高概率的可行解。特别是,TS使请求的平均延迟平均降低了50%左右。
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引用次数: 6
ERUPT: Energy-efficient trustworthy provenance trees for wireless sensor networks 爆发:无线传感器网络的节能可靠来源树
S. Alam, David K. Y. Yau, S. Fahmy
Sensor nodes are inherently unreliable and prone to hardware or software faults. Thus, they may report untrustworthy or inconsistent data. Assessing the trustworthiness of sensor data items can allow reliable sensing or monitoring of physical phenomena. A provenance-based trust framework can evaluate the trustworthiness of data items and sensor nodes based on the intuition that two data items with similar data values but with different provenance (i.e., forwarding path) can be considered more trustworthy. Forwarding paths of data items generated from redundantly deployed sensors should consist of trustworthy nodes and remain dissimilar. Unfortunately, operating many sensors with dissimilar paths consumes significant energy. In this paper, we formulate an optimization problem to identify a set of sensor nodes and their corresponding paths toward the base station that achieve a certain trustworthiness threshold, while keeping the energy consumption of the network minimal. We prove the NP-hardness of this problem and propose ERUPT, a simulated annealing solution. Testbed and simulation results show that ERUPT achieves high trustworthiness, while reducing total energy consumption by 32-50% with respect to current approaches.
传感器节点本身就不可靠,容易出现硬件或软件故障。因此,他们可能会报告不可信或不一致的数据。评估传感器数据项的可信度可以实现对物理现象的可靠感知或监测。基于来源的信任框架可以根据直觉来评估数据项和传感器节点的可信度,即两个数据值相似但来源(即转发路径)不同的数据项可以被认为更可信。由冗余部署的传感器生成的数据项的转发路径应该由可信节点组成,并且保持不相似。不幸的是,操作许多不同路径的传感器会消耗大量的能量。在本文中,我们制定了一个优化问题,以确定一组传感器节点及其通往基站的路径,这些节点达到一定的可信阈值,同时保持网络的能量消耗最小。我们证明了这个问题的np -硬度,并提出了一个模拟退火解。试验台和仿真结果表明,与现有方法相比,该方法具有较高的可信度,同时总能耗降低32-50%。
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引用次数: 7
GPU acceleration of finding LPRs in DNA sequence based on SUA index 基于SUA索引的DNA序列lpr查找GPU加速
Shufang Du, Longjiang Guo, Chunyu Ai, Meirui Ren, Hao Qu, Jinbao Li
The repetitions in biological sequence analysis are of great biological significance. Finding the repetitions has been a hot topic in gene projects naturally. In recent years, graphics processing unit (GPU) has been far exceeded the CPU in terms of computing capability and memory bandwidth, especially CUDA dramatically increases in computing performance by harnessing the power of the GPUs. This paper proposes efficient parallel algorithms on CUDA to accelerate finding PTRs which is redefined as LPRs based on the SUA Index. The proposed parallel algorithms have been utilized with the parallel primitives offered by Thrust library and the effective parallel bit compression technology based on division to achieve better acceleration. Optimization techniques include CUDA streams technology are also realized to reduce transmission latency. Experimental results show that the proposed parallel algorithms are faster than the benchmark with 1.6~5.4 speedup.
生物序列分析中的重复序列具有重要的生物学意义。寻找重复序列自然成为基因工程研究的热点。近年来,图形处理单元(GPU)在计算能力和内存带宽方面已经远远超过了CPU,特别是CUDA通过利用GPU的强大功能大大提高了计算性能。本文在CUDA上提出了一种高效的并行算法来加速查找基于SUA索引的ptr,并将其重新定义为lpr。利用Thrust库提供的并行基元和基于除法的有效并行位压缩技术,所提出的并行算法获得了较好的加速效果。优化技术还包括CUDA流技术,以减少传输延迟。实验结果表明,所提并行算法的速度比基准算法快1.6~5.4。
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引用次数: 1
Sensitivity analysis of availability of video streaming service in cloud computing 云计算视频流服务可用性敏感性分析
Rosangela Melo, Maria Clara Bezerra, J. Dantas, Rúbens de Souza Matos Júnior, I. J. M. Filho, P. Maciel
Cloud computing environments provide powerful storage and processing capabilities, as well as other computational resources. Due to the business potential of the pay-peruse model, as well as the advantages of easy scalability, up-to-date Video on Demand (VoD) streaming services rely on cloud infrastructures to offer a wide variety of multimedia content. This paper proposes the application of availability models to a cloud environment designed for a video streaming service. Sensitivity analysis is proposed to identify the availability bottlenecks.
云计算环境提供强大的存储和处理能力,以及其他计算资源。由于付费阅读模式的商业潜力,以及易于扩展的优势,最新的视频点播(VoD)流媒体服务依赖云基础设施来提供各种各样的多媒体内容。本文提出了可用性模型在视频流服务云环境中的应用。提出了灵敏度分析方法来识别可用性瓶颈。
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引用次数: 2
Enhancing the I/O system for virtual machines using high performance SSDs 使用高性能ssd增强虚拟机的I/O系统
Myoungwon Oh, Hyeonsang Eom, H. Yeom
Storage I/O in VM (Virtual Machine) environments, which requires low latency, becomes problematic as the fast storage such as SSDs (Solid-State Drives) is currently in use. The low performance problem in the VM environment is caused by 1) the presence of additional software layer such as guest OS, 2) context switching between VM and host OS, and 3) scheduling delay for I/O process. These factors do not cause serious problems in the case of using HDD which leads to high latency batching. However, there will be significant performance degradation when fast storage devices are used. To address this problem, we have proposed the following methods to improve the performance of I/O stack in the VM environments by attempting to optimize the I/O stack: one is pipelined polling, and the other is multiple issues and multiple completions. We have found via experiments that our approach leads to increases in the performance of SSDs in a VM environment by up to 50% when multiple VM storage devices are used, and that it leads to improvements in the performance by more than 80% when a single VM storage device is used, with the CPU utilization reduced by up to 25%.
VM (Virtual Machine)环境中的存储I/O需要低延迟,但随着ssd (Solid-State Drives)等快速存储的使用,存储I/O就会出现问题。VM环境中的低性能问题是由以下原因引起的:1)额外的软件层(如客户机操作系统)的存在;2)VM和主机操作系统之间的上下文切换;3)I/O进程的调度延迟。在使用HDD的情况下,这些因素不会导致导致高延迟批处理的严重问题。然而,当使用快速存储设备时,将会有明显的性能下降。为了解决这个问题,我们提出了以下方法,通过尝试优化I/O堆栈来提高VM环境中I/O堆栈的性能:一种是流水线轮询,另一种是多问题和多完成。我们通过实验发现,当使用多个虚拟机存储设备时,我们的方法可以将虚拟机环境中的ssd性能提高50%,当使用单个虚拟机存储设备时,它可以将性能提高80%以上,CPU利用率降低高达25%。
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引用次数: 10
A novel method to estimate performance for a high performance computation workload 一种新的高性能计算负载性能估计方法
J. Issa
Given the rapid change in processor architecture in the past years, there is a driving necessity to assess processor performance for a high performance computation workload. Assessing performance for a given workload is important to understand which architecture parameters the workload performance is sensitive to. A given workload can be categorized as memory bounded, compute bounded, or in between. In this paper we present performance sensitivity analysis for a high performance computation workload using LS-DYNA/car2car. We derive a sensitivity analysis for this workload with respect to different processor architecture parameters such as number for threads and memory. We also propose a performance estimation analytical model in which we can estimate performance for LS-DYNA workload by changing specific processor architecture parameters. The models is verified to estimate performance for different processor architectures with error margin <;5%.
鉴于过去几年处理器架构的快速变化,有必要评估高性能计算工作负载的处理器性能。评估给定工作负载的性能对于了解工作负载性能对哪些体系结构参数敏感非常重要。给定的工作负载可以分为内存受限、计算受限或两者之间。本文采用LS-DYNA/car2car对高性能计算负载进行了性能敏感性分析。我们根据不同的处理器架构参数(如线程数和内存)对该工作负载进行敏感性分析。我们还提出了一个性能估计分析模型,在该模型中,我们可以通过改变特定的处理器架构参数来估计LS-DYNA工作负载的性能。经过验证,该模型可以在误差小于5%的情况下估计不同处理器架构的性能。
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引用次数: 1
Evaluation of a platform for the provisioning of community-contributed web services 评估用于提供社区贡献的web服务的平台
D. Vijayakumar, Q. Mahmoud
Despite research spanning more than a decade in the area of Web services, the industry has not yet seen a consensus regarding an effective method for the provisioning of Web services. In recent years, a new paradigm for implementing Web services based on Representational State Transfer, the successful architectural foundation of the Web, has seen greater interest in the industry. We had previously proposed a framework for the implementation of platforms for provisioning community-contributed Web services using the REpresentational State Transfer (REST) paradigm. We had also presented a proof-of-concept prototype implementation of the framework for use as a reference. In this paper, we elaborate more on the prototype by presenting its architecture and then present the results of evaluating the performance of this prototype in order to explore the feasibility of our proposed framework.
尽管在Web服务领域进行了十多年的研究,但业界尚未就提供Web服务的有效方法达成共识。近年来,业界对基于Representational State Transfer (Web的成功架构基础)实现Web服务的新范式产生了更大的兴趣。我们之前提出了一个框架,用于使用具象状态传输(REpresentational State Transfer, REST)范式提供社区贡献的Web服务的平台的实现。我们还提供了框架的概念验证原型实现,以供参考。在本文中,我们通过介绍其架构来详细阐述原型,然后介绍评估该原型性能的结果,以探索我们提出的框架的可行性。
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引用次数: 1
Empirical capacity modeling and evaluation of delay tolerant network routing protocols 时延容忍网络路由协议的经验容量建模与评价
Jeremiah D. Deng
Delay tolerant networks under wireless intermittent settings have gathered growing research interests in recent years. There remains, however, a lacking of performance modelling results for DTN protocols. In this paper, we propose to model the system-level performance of DTN protocols using the Erlang B queueing model, and profile the performance metrics such as message delivery ratios under different traffic conditions using the system capacity measurements. A number of common DTN protocols are evaluated using a scenario based on map-based mobility under different settings.
近年来,无线间歇设置下的容延迟网络引起了越来越多的研究兴趣。然而,仍然缺乏DTN协议的性能建模结果。在本文中,我们建议使用Erlang B队列模型对DTN协议的系统级性能进行建模,并使用系统容量测量对不同流量条件下的消息传递率等性能指标进行分析。在不同设置下,使用基于基于地图的移动性的场景评估了许多常见的DTN协议。
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引用次数: 1
期刊
2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC)
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