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2013 International Conference on Parallel and Distributed Computing, Applications and Technologies最新文献

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A New Efficient Random Key Revocation Protocol for Wireless Sensor Networks 一种新的无线传感器网络随机密钥撤销协议
Yi Jiang, Ruonan Zhang, Xiaojiang Du
In recent years, several random key pre-distribution schemes have been proposed for wireless sensor networks. However, the problem of key and node revocation has received fewer attentions. In this paper, we present a novel random key revocation protocol, which is suitable for large scale networks and removes compromised information efficiently. The proposed revocation protocol can guarantee network security and has less memory consumption and communication overhead. With the combination of centralized and distributed revocations, the protocol achieves both timeliness and accuracy for revocation. The simulation results show that our protocol has better performance than existing protocols in terms of increasing revocation validity and revocation velocity, and prolonging the network lifetime.
近年来,针对无线传感器网络提出了几种随机密钥预分配方案。然而,密钥和节点的撤销问题却很少受到关注。本文提出了一种新的随机密钥撤销协议,该协议适用于大规模网络,能够有效地去除泄露信息。所提出的撤销协议既能保证网络安全,又具有较小的内存消耗和通信开销。该协议将集中撤销与分布式撤销相结合,实现了撤销的及时性和准确性。仿真结果表明,该协议在提高撤销有效性和撤销速度、延长网络生命周期等方面都比现有协议具有更好的性能。
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引用次数: 3
A Task Scheduling Algorithm for Multi-core Processors 一种多核处理器任务调度算法
Xuanxia Yao, P. Geng, Xiaojiang Du
With the widespread use of multi-core processors, task scheduling for multi-core processors has become a hot issue. Many researches have been done on task scheduling from various perspectives. However, the existing task scheduling algorithms still have some drawbacks, such as low processor utilization rate, high complexity, and so on. This paper presents a task scheduling algorithm for multi-core processors, which is based on priority queue and task duplication. In the proposed algorithm, the Directed A cyclic Graph (DAG) is used to build a task model. Based on the model, task critical degree, task reminder, task execution time and the average communication time are all considered as the priority metrics. A priority based task dispatching list is set up by comprehensive analysis and calculating the priority for each task. Then interval insertion and task duplication strategies are employed to map tasks to processors, which can decrease the communication cost, improve the processor utilization rate and shorten the schedule length. Our experiments show that the proposed algorithm has better performance and lower complexity than the existing scheduling algorithms.
随着多核处理器的广泛应用,多核处理器的任务调度已成为一个热点问题。关于任务调度的研究从不同的角度展开。然而,现有的任务调度算法仍然存在处理器利用率低、复杂度高等缺点。提出了一种基于优先级队列和任务复制的多核处理器任务调度算法。在该算法中,使用有向循环图(DAG)来构建任务模型。在该模型的基础上,将任务关键度、任务提醒、任务执行时间和平均通信时间作为优先级指标。通过综合分析和计算各任务的优先级,建立了基于优先级的任务调度列表。然后采用区间插入和任务复制策略将任务映射到处理器,从而降低了通信成本,提高了处理器利用率,缩短了调度长度。实验表明,该算法比现有调度算法具有更好的性能和更低的复杂度。
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引用次数: 18
RDF Data Query and Management Method Based on HBase and Structure Index in Railway Sensor Application 基于HBase和结构索引的RDF数据查询与管理方法在铁路传感器中的应用
Menglun Yang, Baopeng Zhang, Yidong Li
Railway dangerous goods tracing is a typical application of the sensor network. Application correlation among the sensor, carriage and train is a graph relationship which can be described by using RDF frameworks. It requires data management system to manage a large scale of ever-increasing RDF data, and support semantic access for monitoring the safety state of the environment inside the carriage. For these problems, this paper proposes RDF data query and management method based on HBase and structure index, and optimization method of query engine. The method is enforced by rewriting SPARQL statements according of correlation degree between them, and at querying time, "structure-level" index is used to identify the groups of RDF data, then the "data-level" data matching utilizes the proposed scalable storage mechanism based on hash-oriented multiple table partition of data entity class. As shown in our experiments, our approach can effectively reduce the semantic query time, enhance storage scalability and effective support multi-criteria query of sensor data.
铁路危险品跟踪是传感器网络的典型应用。传感器、车厢和列车之间的应用关联是一种图形关系,可以用RDF框架来描述。它要求数据管理系统能够管理大量不断增长的RDF数据,并支持语义访问以监控车厢内环境的安全状态。针对这些问题,本文提出了基于HBase和结构索引的RDF数据查询和管理方法,以及查询引擎的优化方法。该方法通过根据SPARQL语句之间的关联度改写SPARQL语句来实现,在查询时使用“结构级”索引来标识RDF数据组,“数据级”数据匹配利用提出的基于面向哈希的数据实体类多表分区的可扩展存储机制。实验表明,该方法可以有效减少语义查询时间,增强存储可扩展性,有效支持传感器数据的多准则查询。
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引用次数: 1
An Efficient Projective Rectification for Trinocular Stereo Vision 三眼立体视觉的有效投影校正
Qing Zhu, Dan Luo
In this paper, we describe an efficient projective rectification method that can be applied to trinocular rectification to improve the visual appearance of stereo vision. This method expends the matrix-based correcting homographic approach which has been proposed recently. In order to implement trinocular rectification, firstly, we obtain triplet images from the target objects through three cameras. The triplet images can be treated as two pairs and the homographies can project different image planes onto new planes. As a result, the rectification becomes the problems of seeking the common plane, and applying transformation or homography to images. Finally, through the proposed solution the trinocular rectification is accomplished. At the same time, Distortion reduction makes the rectified images more realistic.
本文描述了一种有效的投影校正方法,该方法可以应用于三眼校正,以改善立体视觉的视觉外观。该方法扩展了近年来提出的基于矩阵的修正同形法。为了实现三眼校正,首先,我们通过三台摄像机从目标物体上获得三联体图像。三联体图像可以看作是两对,同形异构体可以将不同的像面投影到新的像面上。因此,校正就变成了寻找共平面、对图像进行变换或单应性处理的问题。最后,通过提出的解决方案,实现了三元精馏。同时,减小畸变使校正后的图像更加逼真。
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引用次数: 0
GBD IAAS Manager: A Tool for Managing Infrastructure-as-a-Service for Private and Hybrid Clouds GBD IAAS管理器:用于管理私有云和混合云的基础设施即服务的工具
C. R. Valêncio, Andrielson Ferreira Da Silva, D. Guimaraes, A. Cansian, M. L. Tronco, A. R. Pinto
The increase in the demand for computing resources with scalable infrastructure and easily managed has stimulated the emergence of IaaS - Infrastructure-as-a-Service - providers in public clouds, as well as the creation of open source IaaS solutions for institutions that prefer to implant their own private cloud. Aiming at expanding the cost-benefit, it is often necessary to integrate public and private cloud services. However, the wide variety of interfaces for communication with the services provided by each solution may impair the management of these clouds by the current environment management tool. In this context, is proposed a management tool for private and hybrid clouds, referred to as GBD IaaS Manager, which offers as original contribution, support for migration of virtual elements to these environments, allowing for a better utilization of computing resources and the load balancing among private and hybrid clouds.
对具有可伸缩基础设施和易于管理的计算资源的需求的增加刺激了公共云中IaaS(基础设施即服务)提供商的出现,以及为更愿意植入自己的私有云的机构创建的开源IaaS解决方案。为了扩大成本效益,往往需要整合公有云和私有云服务。然而,用于与每个解决方案提供的服务进行通信的各种各样的接口可能会损害当前环境管理工具对这些云的管理。在这种情况下,提出了一种用于私有云和混合云的管理工具,称为GBD IaaS Manager,它作为原始贡献,提供了对虚拟元素迁移到这些环境的支持,允许更好地利用计算资源并在私有云和混合云中实现负载平衡。
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引用次数: 0
Implementation of Data Transform Method into NoSQL Database for Healthcare Data 医疗保健数据到NoSQL数据库的数据转换方法实现
Chao-Tung Yang, Jung-Chun Liu, Wen-Hung Hsu, Hsin-Wen Lu, W. Chu
Currently, most health care systems used among divisions in medical centers still adopt the Excel file format for a variety of scales statistics, such as the clinical self-care ability scale for Functional Independence Measure. Although people can further analyze Excel files using other statistical analysis software, such as SAS, SPSS, and STATA, they cannot effectively share the archived data in Excel among divisions. We propose to do format conversion on these data and store them in a database. As the collection of Excel files cannot be shared with ease, we plan to use HBase, a non-relational database, to further integrate data. The purpose of this paper is to construct complete import tools and solutions based on HBase to facilitate easy access of data in HBase. Besides, a visual interface is also used to manage HBase to implement user friendly client connection tools for the HBase database.
目前,大多数医疗中心科室间使用的医疗保健系统仍然采用Excel文件格式进行各种量表的统计,如功能独立性测量的临床自我护理能力量表。虽然人们可以使用其他统计分析软件(如SAS、SPSS、STATA)进一步分析Excel文件,但无法在部门之间有效地共享Excel中的存档数据。我们建议对这些数据进行格式转换,并将其存储在数据库中。由于Excel文件的集合不能方便地共享,我们计划使用非关系型数据库HBase来进一步整合数据。本文的目的是基于HBase构建完整的导入工具和解决方案,以方便HBase中的数据访问。此外,还采用可视化界面对HBase进行管理,为HBase数据库实现了友好的客户端连接工具。
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引用次数: 14
A DWT Based Perfect Secure and High Capacity Image Steganography Method 一种基于小波变换的安全高容量图像隐写方法
M. Farahani, A. Pourmohammad
In this paper, a Discrete Wavelet Transform (DWT) based perfect secure and high capacity image steganography method is presented. This method is used for steganography of the pictorial messages in a cover image (carrier data). First, the message data and the cover image data are transformed using Haar filters based DWT, and then, the message DWT coefficients are embedded to the cover image DWT coefficients. Therefore, some DWT based different message data embedding approaches are studied. The robustness and image brightness are considered as the main criteria. Hence, the PSNR is considered as an objective criteria and the image brightness is considered as a subjective criteria for evaluation. The simulations results confirm that not only the proposed method is a high capacity image steganography method, but also using this method, the cover image data remains unchanged. Furthermore, if the message data size to be increased, after the message data extraction, there will be existing high PSNR cover image data.
提出了一种基于离散小波变换(DWT)的完全安全、高容量图像隐写方法。这种方法用于掩蔽图像(载体数据)中的图形信息的隐写。首先,利用基于Haar滤波的DWT对消息数据和封面图像数据进行变换,然后将消息的DWT系数嵌入到封面图像的DWT系数中。因此,研究了基于小波变换的不同消息数据嵌入方法。以鲁棒性和图像亮度为主要评判标准。因此,将PSNR作为客观标准,将图像亮度作为主观标准进行评价。仿真结果表明,该方法不仅是一种高容量的图像隐写方法,而且使用该方法后,覆盖图像数据保持不变。此外,如果要增加报文数据量,在报文数据提取后,将会存在高信噪比的覆盖图像数据。
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引用次数: 23
Simulated-Annealing Load Balancing for Resource Allocation in Cloud Environments 云环境下资源分配的模拟退火负载均衡
Zongqin Fan, Hong Shen, Yanbo Wu, Yidong Li
Recently, the development of cloud computing has received considerable attention. For cloud service providers, packing VMs onto a small number of servers is an effective way to reduce energy costs, so as to improve the efficiency of the data center. However allocating too many VMs on a physical machine may cause some hot spots which violate the SLA of applications. Load balancing of the entire system is hence needed to guarantee the SLA. In this paper, we present a simulated-annealing load balancing algorithm for solving the resource allocation and scheduling problem in a cloud computing environment. Experimental results show that this method is able to achieve load balancing, and performs better than the round robin and basic simulated-annealing algorithms.
最近,云计算的发展受到了相当大的关注。对于云服务提供商来说,将虚拟机打包到少量的服务器上是降低能源成本,从而提高数据中心效率的有效途径。但是,在物理机上分配过多的虚拟机可能会产生一些热点,从而违反应用程序的SLA。因此,需要整个系统的负载均衡来保证SLA。本文提出了一种模拟退火负载均衡算法,用于解决云计算环境下的资源分配和调度问题。实验结果表明,该方法能够实现负载均衡,性能优于轮循算法和基本模拟退火算法。
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引用次数: 27
In-Domain Neighborhood Approach to Heterogeneous Dynamic Load Balancing in Real World Network 现实网络中异构动态负载均衡的域内邻域方法
E. Daraghmi, S. Yuan
In this paper, we present a novel in-domain neighborhood approach to clarify the dynamic load balancing problem on a heterogeneous network and to solve many practical problems. The distributed system consists of a network of workstations with different domains, speeds and capacities. Since the number of workstations and the diameter of the network affect the convergences rate, our approach introduces the in-domain relation that classifies the entire network into sub-networks called domains. The algorithm runs in each workstation in order to reach the fairness state in-domain and in entire network rapidly. In this paper, our approach is applied to a cafeteria system as a case study, each workstation is viewed as a cafeteria where the maximum number of orders that can be submitted to one cafeteria corresponds to the capacity of that cafeteria workstation, the communication channels are modeled between the in-domain cafeterias, and the workload is represented as orders. An algorithm is presented to simulate the migration of the orders between in-domain cafeterias and to distribute a proportion of the excessive workload of heavily loaded node to lightly loaded node by considering the capacity of each node such that when the algorithm terminates, the effective-load in all cafeterias is the same. Therefore, each workstation receives an amount of workload proportional to its total capacity. This framework is analyzed mathematically, and it is proved that the proposed algorithm converges and achieves the fairness state.
在本文中,我们提出了一种新的域内邻域方法来澄清异构网络上的动态负载平衡问题,并解决了许多实际问题。分布式系统由不同领域、不同速度和不同容量的工作站组成。由于工作站的数量和网络的直径会影响收敛速度,我们的方法引入了域内关系,将整个网络划分为称为域的子网。该算法在各工作站上运行,以快速达到域内和全网的公平状态。在本文中,我们的方法作为案例研究应用于自助餐厅系统,每个工作站都被视为自助餐厅,其中可以提交给一个自助餐厅的最大订单数量对应于该自助餐厅工作站的容量,域内自助餐厅之间的通信通道被建模,工作负载被表示为订单。提出了一种模拟域内自助餐厅之间订单迁移的算法,通过考虑各节点的容量,将负载过重的节点的多余工作负载分配到负载较轻的节点上,使算法终止时所有自助餐厅的有效负载相同。因此,每个工作站接收的工作量与其总容量成正比。对该框架进行了数学分析,证明了算法的收敛性,达到了公平性状态。
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引用次数: 2
Study on Quantum Parallel Processing by Adiabatic Quantum Computation in Simon Problem Simon问题中绝热量子计算的量子并行处理研究
S. Nakayama, Gang Peng, I. Iimura
Adiabatic quantum computation has been proposed as quantum parallel processing with adiabatic evolution by using a superposition state to solve combinatorial optimization problem, then it has been applied to many problems like satisfiability problem. Among them, Deutsch and Deutsch-Jozsa problems have been tried to be solved by using adiabatic quantum computation. In this paper, we modify the adiabatic quantum computation and propose to solve Simon problem more efficiently by a method with higher observation probability.
绝热量子计算被提出为一种具有绝热演化的量子并行处理方法,利用叠加态求解组合优化问题,并应用于可满足性问题等许多问题。其中,Deutsch和Deutsch- jozsa问题已经尝试用绝热量子计算来解决。本文对绝热量子计算进行了改进,提出了一种具有更高观测概率的方法来更有效地解决Simon问题。
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引用次数: 0
期刊
2013 International Conference on Parallel and Distributed Computing, Applications and Technologies
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