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检索条件"机构=Parallel Distributed Processing Laboratory"

共 1115 条记录，以下是461-470 订阅

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MTracer: A Trace-Oriented Monitoring Framework for Medium-Scale distributed Systems

MTracer: A Trace-Oriented Monitoring Framework for Medium-Sc...

引用

2014 IEEE 8th International Symposium on Service Oriented System Engineering

作者： Jingwen Zhou Zhenbang Chen Haibo Mi Ji Wang Science and Technology on Parallel and Distributed Processing Laboratory Changsha China

Trace-oriented runtime monitoring is a very effective method to improve the reliability of distributed systems. However, for medium-scale distributed systems, existing trace-oriented monitoring frameworks are either not powerful or efficient enough, or too complex and expensive to deploy and maintain. In this paper, we present MTracer, which is a lightweight trace-oriented monitoring system for medium-scale distributed systems. We have proposed and implemented several optimizations to improve the efficiency of the monitor server in MTracer. A web-based frontend is also provided to visualize a monitored system from different perspectives. We have validated MTracer in a real medium-scale environment. The results indicate that MTracer has a very lower overhead, and can handle more than 4000 events per second.

关键词： Monitoring Servers Optimization Databases Runtime Data mining Reliability

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Performance analysis of end-to-end services in virtualized computing environments

Performance analysis of end-to-end services in virtualized c...

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11th IFIP WG 10.3 International Conference on Network and parallel Computing, NPC 2014

作者： Yan, Guofeng Peng, Yuxing School of Computer and Communication Hunan Institute of Engineering China Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Science and Technology Changsha 410073 China

ISBN: (纸本)9783662449165

In this paper, we present a novel stochastic analyzing model for e2e virtualized cloud services using hierarchical Quasi-Birth Death structures (QBDs). We divide the overall virtualized cloud services into three sub-hierarchies, and then, analyze each individual sub-hierarchy using QBDs. Our approach reduces the complexity of performance analysis. Our results are useful to prevent the cloud center from entering unsafe operation, and also reveal practical insights into load balancing and capacity planning for virtualized computing environments. © 2014 IFIP International Federation for Information processing.

关键词： Stochastic systems

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VAWS: Constructing trusted open computing system of mapreduce with verified participants

VAWS: Constructing trusted open computing system of mapreduc...

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作者： Ding, Yan Wang, Huaimin Wei, Lifeng Chen, Songzheng Fu, Hongyi Xu, Xinhai School of Computer National University of Defense Technology Changsha HN China National Laboratory for Parallel and Distributed Processing National Univ. of Defense Technology Changsha HN China

MapReduce is commonly used as a parallel massive data processing model. When deploying it as a service over the open systems, the computational integrity of the participants is becoming an important issue due to the untrustworthy workers. Current duplication-based solutions can effectively solve non-collusive attacks, yet most of them require a centralized worker to re-compute additional sampled tasks to defend collusive attacks, which makes the worker a bottleneck. In this paper, we try to explore a trusted worker scheduling framework, named VAWS, to detect collusive attackers and assure the integrity of data processing without extra re-computation. Based on the historical results of verification, we construct an Integrity Attestation Graph (IAG) in VAWS to identify malicious mappers and remove them from the framework. To further improve the efficiency of identification, a verification-couple selection method with the IAG guidance is introduced to detect the potential accomplices of the confirmed malicious worker. We have proven the effectiveness of our proposed method on the improvement of system performance in theoretical analysis. Intensive experiments show the accuracy of VAWS is over 97% and the overhead of computation is closed to the ideal value of 2 with the increasing of the number of map tasks in our scheme. Copyright © 2014 The Institute of Electronics, Information and Communication Engineers.

关键词： MapReduce

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A blind motion deblurring for daytime and nighttime images

A blind motion deblurring for daytime and nighttime images

引用

International Conference on Wavelet Active Media Technology and Information processing (ICWAMTIP)

作者： Fei Zhang Yong Dou Xin Niu National Laboratory for Parallel and Distributed Processing National University of Defense Technology

ISBN: (纸本)9781479972098

This paper presents an automatic deblurring approach for motion blur images. The approach explores the prior of the intensity and gradient to estimate the motion blur kernel from single blurred image. In this way, motion blur kernel could be well estimated not only on daytime images, but also on nighttime images. Efficient optimization method was given for the prior-based approach. Besides, a cost-effective method was also proposed to remove the noise of the kernel in the iterative kernel estimation. The proposed kernel enhancement approach could also improve the performance of other blind deblurring algorithm. Experimental results showed that the performance of the proposed algorithm was superior to many state-of-the-art blind deblurring algorithms, especially for nighttime images with saturated regions.

关键词： Kernel Estimation Deconvolution Noise Image edge detection Image restoration Algorithm design and analysis

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Symmetric Non-negative Matrix Factorization Based Link Partition Method for Overlapping Community Detection

Symmetric Non-negative Matrix Factorization Based Link Parti...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Xiang Zhang Naiyang Guan Wenju Zhang Xuhui Huang Shuyi Wu Zhigang Luo Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Hunan P.R. China Institute of Software College of Computer National University of Defense Technology Hunan P.R. China Department of Computer Science and Technology College of Computer National University of Defense Technology Hunan P.R. China

ISBN: (纸本)9781479986989

Partitioning links rather than nodes is effective in overlapping community detection (OCD) on complex networks. However, it consumes high CPU and memory overheads because the volume of links is huge especially when the network is rather complex. In this paper, we proposes a symmetric non-negative matrix factorization (SNMF) based link partition method called SNMF-Link to overcome this deficiency. In particular, SNMF-Link represents data in a lower-dimensional space spanned by the node-link incidence matrix. By solving a lighter SNMF problem, SNMF-Link learns the clustering indicators of each links. Since traditional multiplicative update rule (MUR) based optimization algorithm for SNMF suffers from slow convergence, we applied the augmented Lagrangian method (ALM) to efficiently optimize SNMF. Experimental results show that SNMF-Link is much more efficient than the representative clustering algorithms without reducing the OCD performance.

关键词： Symmetric matrices Convergence Optimization Partitioning algorithms Chlorine Complex networks Image edge detection

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Accelerating Embarrassingly parallel Algorithm on Intel MIC

Accelerating Embarrassingly Parallel Algorithm on Intel MIC

引用

2014 IEEE International Conference on Progress in Informatics and Computing

作者： Qinglin Wang Jie Liu XiantuoTang Feng Wang Guitao Fu Zuocheng Xing Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology

The Embarrassingly parallel(EP) algorithm which is typical of many Monte Carloapplications provides an estimate of the upper achievable limits for double precision performance of parallel supercomputers. Recently, Intel released Many Integrated Core(MIC) architecture as a many-core co-processor. MIC often offers more than 50 cores each of which can run four hardware threads as well as 512-bit vector instructions. In this paper,we describe how the EP algorithm is accelerated effectively on the platforms containing MIC using the offload execution model. The result shows that the efficientimplementation of EP algorithm on MIC can take full advantage of MIC's computational resources and achieves a speedup of 3.06 compared with that on Intel Xeon E5-2670 CPU. Based on the EP algorithm on MIC and an effective task distribution model, the implementation of EP algorithm on a CPU-MIC heterogeneous platform achieves the performance of up to2134.86 Mop/s and 4.04 times speedup compared with that on Intel Xeon E5-2670 CPU.

关键词： NPB embarrassingly parallel algorithm heterogeneous platform many integrated core architecture

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CCH-MAC: Evading hidden terminal in ad-hoc network

CCH-MAC: Evading hidden terminal in ad-hoc network

引用

International Conference on Information and Communication Technology Convergence (ICTC)

作者： Xuan Dong Shaohe Lv Yong Lu Xiaodong Wang Xingming Zhou National Laboratory of Parallel and Distributed Processing University of Defense Technology Chansha China

Hidden terminal and collisions are well-known problems due to broadcasting nature of wireless network. In this paper, we address an efficient MAC protocol to evade the potential collisions caused by hidden terminals, where advanced phycical layer technique, full-duplex, is exploited to coordinate channel contention among nodes within two-hops range. Furhter-more, cooperative channel hopping(CCH) MAC is developed to improve the frequency efficiency by limiting the interference of hidden terminals and enabling a collision-free channel for further transmission. Basically, a fined channel hopping mechanism is proposed to avoid the continually interference and cooperative coordination is subjoined by the transmission of cyclic prefix. To the best of our knowledge, CCH-MAC validates the detection of subchannel contention on NI USRPs and evaluation via simulations shows that CCH-MAC achieves at least 35% throughput gain over FICA with a slightly loss in fairness.

关键词： Transmitters Interference Throughput Receivers Network topology Decoding Indexes

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Design and Implementation of distributed Stage DB:A High Performance distributed Key-Value Database

Design and Implementation of Distributed Stage DB:A High Per...

引用

2014 International Conference on Industrial Engineering and Information Technology

作者： Hui-jun Wu Kai Lu Gen Li Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology

With the development of high performance computing and Web 2.0 applications,unstructured data storage becomes more and more *** RDBMS isn't efficient for big data ***,RDBMS's scalability is ***' expansion often leads to a large scale of data *** paper designs and implements a high performance distributed key-value database,which is distributed Stage *** servers are organized by a consistent hashing ring and distributed with the support of Zookeeper,a distributed service *** has a high single-node read/write *** route information is calculated by clients,which reduces the expense of expansion.

关键词： distributed system,database,key-value,Zookeeper

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CLASSIFICATION OF LAND COVER BASED ON DEEP BELIEF NETWORKS USING POLARIMETRIC RADARSAT-2 DATA

CLASSIFICATION OF LAND COVER BASED ON DEEP BELIEF NETWORKS U...

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Qi Lv Yong Dou Xin Niu Jiaqing Xu Baoliang Li National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology

ISBN: (纸本)9781479953141

Urban land use and land cover (LULC) classification is one of the core applications in Geographic Information System (GIS). In this paper, a novel classification approach based on Deep Belief Network (DBN) for detailed urban mapping is proposed. Deep Belief Network (DBN) is a widely investigated and deployed deep learning model. By applying the DBN model, effective spatio-temporal mapping features can be automatically extracted to improve the classification performance. Six-date RADARSAT-2 Polarimetric SAR (PolSAR) data over the Great Toronto Area were used for evaluation. Experimental results showed that the proposed method can outperform SVM and contextual approaches using adaptive MRF.

关键词： Land cover classification Deep learning Restricted Boltzmann Machines (RBMs) Deep Belief Network (DBN) PolSAR

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A Exploratory Study of @-Mention in GitHub's Pull-Requests

A Exploratory Study of @-Mention in GitHub's Pull-Requests

引用

Asia-Pacific Conference on Software Engineering

作者： Yang Zhang Gang Yin Yue Yu Huaimin Wang National laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9781479974276

Pull-request mechanism is an outstanding social development method in Git Hub. @-mention is a social media tool that deeply integrated with pull-request mechanism. Recently, many research results show that social media tools can promote the collaborative software development, but few work focuses on the impacts of @-mention. In this paper, we conduct an exploratory study of @-mention in pull-request based software development, including its current situation and benefits. We obtain some interesting findings which indicate that @-mention is beneficial to the processing of pull-request. Our work also proposes some possible research directions and problems of the @-mention. It helps the developers and researchers notice the significance of @-mention in the pull-request based software development.

关键词： Media Software Collaboration Software engineering Correlation Information services Electronic publishing

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