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检索条件"任意字段=13th IEEE International Symposium on Parallel and Distributed Processing with Applications"

共 2573 条记录，以下是91-100 订阅

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Optimization of key and value storage in vector map rendering 19

Optimization of key and value storage in vector map renderin...

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19th ieee international symposium on parallel and distributed processing with applications (ieee ISPA)

作者： Jing, Feng Jiang, Ying Chen, Shengbin Lv, Xirong He, Jiayi State Grid Shanxi Elect Power Co Taiyuan Peoples R China Xiamen Great Power Geo Informat Technol Co Ltd Xiamen Peoples R China Xiamen Univ Technol Sch Comp & Informat Engn Xiamen Peoples R China

ISBN: (纸本)9781665435741

With the continuous development of data-centric Internet applications, data management solutions for massive data have gradually become a new research direction in vector map rendering. the introduction of distributed "cloud computing" technology has continuously improved the storage and management of massive data. Supported by a large number of distributed systems, it provides normal services to the outside world, as well as fast data location services. the system has good performance in data storage efficiency, node load balancing and system scalability, and has an efficient data positioning mechanism. the basic idea of the system design draws on the hash algorithm and the consistent hash algorithm, and improves the scalability of the basic algorithm. through the three-tier layout: front-end server layer, consistent hash layer, data node layer, to maximize the consistency, availability, efficiency and scalability of the system.

关键词： distributed storage system consistent hash key value

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Markov Fluid Queue Model for Rechargeable Sensor Nodes with Abnormal Death 15

Markov Fluid Queue Model for Rechargeable Sensor Nodes with ...

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15th ieee international symposium on parallel and distributed processing with applications (ISPA) / 16th ieee international Conference on Ubiquitous Computing and Communications (IUCC)

作者： Zhong, Ping Zhang, Yiwen Gao, Jianliang Zhang, Yiming Yan, Jize Cent S Univ Changsha 410083 Hunan Peoples R China Natl Univ Def Technol Changsha 410073 Hunan Peoples R China Univ Southampton Southampton SO17 1BJ Hants England

ISBN: (纸本)9781538637906

the rechargeable sensor network is promising for various applications. However, improving network performance is challenging, because the energy depletion of the sensor nodes will result in abnormal death of the nodes. In this paper, we propose a hybrid framework to model the abnormal death of the sensor nodes. Based on the Markov fluid queue theory, the model includes three parts, namely utilizing a Markov process to simulate the charging behavior, a queuing model to trace the working mechanism of rechargeable sensor nodes, and a continuous fluid process to indicate the energy level of sensor nodes. the numerical results show that our model can effectively predict the probability of abnormal death and stationary energy consumption of the sensor nodes.

关键词： Wireless rechargeable sensor network Markov fluid queue abnormal death stationary energy consumption

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System support for migratory continuous media applications in distributed real-time environments 13th

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13th international parallel processing symposium, IPPS 1999 Held in Conjunction with the 10th symposium on parallel and distributed processing, SPDP 1999

作者： Nakajima, Tatsuo Kone, Mamadou Tadiou Aizu, Hiroyuki Japan Advanced Institute of Science and Technology 1-1 Asahidai TatsunokuchiIshikawa923-12 Japan

ISBN: (纸本)3540658319

In this paper, we propose system support for building adaptive migratory continuous media applications in distributed real-time environments. In future distributed computing environments, various objects in homes and offices will embed computers, and various applications will be moved between these computers according to the location of these users. these environments are considered as one of typical future distributed real-time environments. However, since the computers may have dramatically different hardware and software configurations, the application cannot be moved without taking into account the configuration of the computer that the application is migrated. therefore, migratory applications should be aware of environments that they are executed. © Springer-Verlag Berlin Heidelberg 1999.

关键词： Application programs

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A Novel parallel Image Encryption Scheme Using Chaos 15

A Novel Parallel Image Encryption Scheme Using Chaos

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15th ieee international symposium on parallel and distributed processing with applications (ISPA) / 16th ieee international Conference on Ubiquitous Computing and Communications (IUCC)

作者： Fu, Chong Zhang, Gao-yuan Zhu, Mai Cong, Li-ying Lei, Wei-min Northeastern Univ Sch Comp Sci & Engn Shenyang 110004 Liaoning Peoples R China

ISBN: (纸本)9781538637906

In recent years, chaos-based image cipher has been widely studied and a growing number of schemes based on permutation-substitution architecture have been proposed. To better meet the challenge of real-time secure image communication applications, this paper suggests a new image encryption scheme using a parallel substitution. In the permutation stage, the Arnold cat map is employed to shuffle the pixel positions so as to erase the strong relationship between adjacent pixels. In the substitution stage, the scrambled image is firstly decomposed into eight bit-planes which are then parallelly mixed with keystreams generated by the chaotic logistic map. theoretically, the parallel substitution strategy runs eight times faster than the serial strategy on an 8-thread processor as the volume of data processed by each substitution unit is 1/8 of that of the input image. Experimental results show that the proposed parallel scheme runs more than five times faster than the serial scheme. Extensive security analysis is carried out with detailed analysis, demonstrating the satisfactory security of the proposed scheme.

关键词： image cipher Arnold cat map parallel substitution bit-plane logistic map

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Unleash the Power for Tensor: A Hybrid Malware Detection System Using Ensemble Classifiers 15

Unleash the Power for Tensor: A Hybrid Malware Detection Sys...

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15th ieee international symposium on parallel and distributed processing with applications (ISPA) / 16th ieee international Conference on Ubiquitous Computing and Communications (IUCC)

作者： Hou, Jieqiong Xue, Minhui Qian, Haifeng East China Normal Univ Shanghai Peoples R China

ISBN: (纸本)9781538637906

the extensive growth of smartphones has spawned the propagation of malicious applications. Due to the increasing use of polymorphic malware, detection is becoming more difficult. To this end, ensemble learning has been proposed to improve accuracy in malware detection, without severely sacrificing time complexity. In this paper, we propose a hybrid detection system, TFBOOST, which incorporates the tensor filter algorithm into boosting ensemble generalization architecture, in order to improve detection efficacy. TFBOOST uses a static analysis to extract features and a level-by-level boosting structure with re-sampling process to diversify base learners. Experimental results show that TFBOOST generally outperforms state-of-the-art ensemble algorithms with higher detection precision and lower false positive rates. Finally, we visually interpret the high-level results of TFBOOST and conjecture that repackaged malware is the mainstay of potential malware.

关键词： TFBOOST Malware detection Tensor decomposition Boosting generalization Ensemble learning

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Hessenberg Reduction with Transient Error Resilience on GPU-Based Hybrid Architectures 30

Hessenberg Reduction with Transient Error Resilience on GPU-...

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30th ieee international parallel and distributed processing symposium (IPDPS)

作者： Jia, Yulu Luszczek, Piotr Dongarra, Jack Univ Tennessee Knoxville TN 37996 USA Oak Ridge Natl Lab Oak Ridge TN USA Univ Manchester Manchester M13 9PL Lancs England

ISBN: (纸本)9781509036820

Graphics processing Units (GPUs) have been seeing widespread adoption in the field of scientific computing, owing to the performance gains provided on computation-intensive applications. In this paper, we present the design and implementation of a Hessenberg reduction algorithm immune to simultaneous soft-errors, capable of taking advantage of hybrid GPU-CPU platforms. these soft-errors are detected and corrected on the fly, preventing the propagation of the error to the rest of the data. Our design is at the intersection between several fault tolerant techniques and employs the algorithm-based fault tolerance technique, diskless checkpointing, and reverse computation to achieve its goal. By utilizing the idle time of the CPUs, and by overlapping both host-side and GPU-side workloads, we minimize the resilience overhead. Experimental results have validated our design decisions as our algorithm introduced less than 2% performance overhead compared to the optimized, but fault-prone, hybrid Hessenberg reduction.

关键词： Fault-tolerance GPGPU Hessenberg reduction Similarity transformation

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Virtual Machine Migration Scheme Based on Score Matrix in Data Centers 15

Virtual Machine Migration Scheme Based on Score Matrix in Da...

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15th ieee international symposium on parallel and distributed processing with applications (ISPA) / 16th ieee international Conference on Ubiquitous Computing and Communications (IUCC)

作者： Yin, Luxiu Luo, Juan Zhang, Song Yang, Zhangwei Hunan Univ Coll Comp Sci & Elect Engn Changsha Hunan Peoples R China Pingxiang Univ Pingxiang Jiangxi Peoples R China

ISBN: (纸本)9781538637906

Virtual Machine Migration (VMM) is a key technology in data centers. Due to the uncertainty of applications in resource allocation, the imbalance of resource utilization is badly poor. In this paper, an Auto-regression Moving Average model is proposed to predict the resource requirement of a certain virtual machine, while the resource utilization rate of the physical machine is analyzed. Since the existing VMM scheme basically follows one by one migration, which makes the migration be unable to achieve the global optimum and save more energy, the paper introduces migrated cost matrix, and recommends a set of migrations with the best performance from a global point of view to carry out the migration, and improves the "three-step" method in the traditional migrated scheme to achieve energy efficiency. Simulation experiments show that the proposed scheme in the paper can effectively reduce the energy consumption, and can improve the quality of service in a certain degree.

关键词： Energy Efficient Forecast Migrated Cost Matrix Virtual Machine Migration

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A Privacy-Aware Conceptual Framework for Coordination 15

A Privacy-Aware Conceptual Framework for Coordination

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15th ieee international symposium on parallel and distributed processing with applications (ISPA) / 16th ieee international Conference on Ubiquitous Computing and Communications (IUCC)

作者： Elahi, Haroon Wang, Guojun Zhang, Wei Guangzhou Univ Sch Comp Sci & Educ Software Guangzhou 510006 Guangdong Peoples R China

ISBN: (纸本)9781538637906

Enterprise architects and information system designers need to understand and manage workflows, data flows, and social interactions to design tools and systems for well-coordinated organizational operations. However, the organizational-nature has drastically transformed over the recent years due to wide-scale use of new computing technologies. Disintegrated structures, large quantities of frequently-generated data, and dubious system and interaction boundaries are some of the obvious identifiers of a modern enterprise, where poorly designed coordination can lead to serious privacy risks. Old coordination modeling frameworks do not set well for the new organizational settings, and a need for alternative models and frameworks has been felt. In this paper, we propose a privacy-aware conceptual framework for understanding coordination by identifying and mapping work, data, and interaction patterns in organizational environments. these propositions intend to help practitioners in developing an updated understanding of the coordination that serves privacy needs, as well.

关键词： Coordination Computer Supported Cooperative Work Information System Design Privacy distributed Environments

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MapReduce Across distributed Clusters for Data-intensive applications

MapReduce Across Distributed Clusters for Data-intensive App...

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26th ieee international parallel and distributed processing symposium (IPDPS) / Workshop on High Performance Data Intensive Computing

作者： Wang, Lizhe Tao, Jie Marten, Holger Streit, Achim Khan, Samee U. Kolodziej, Joanna Chen, Dan Chinese Acad Sci Ctr Earth Observat & Digital Earth Beijing 100864 Peoples R China Steinbuch Ctr Comp Karlsruhe Inst Technol Karlsruhe Germany North Dakota State Univ Dept Elect & Comp Engn Fargo ND 58105 USA Univ Bielsko Biala Dept Math & Comp Sci Bielsko Biala Poland China Univ Geosci Sch Comp Beijing Peoples R China

ISBN: (纸本)9780769546766

Recently, the computational requirements for largescale data-intensive analysis of scientific data have grown significantly. In High Energy Physics (HEP) for example, the Large Hadron Collider (LHC) produced 13 petabytes of data in 2010. this huge amount of data are processed on more than 140 computing centers distributed across 34 countries. the MapReduce paradigm has emerged as a highly successful programming model for large-scale data-intensive computing applications. However, current MapReduce implementations are developed to operate on single cluster environments and cannot be leveraged for large-scale distributed data processing across multiple clusters. On the other hand, workflow systems are used for distributed data processing across data centers. It has been reported that the workflow paradigm has some limitations for distributed data processing, such as reliability and efficiency. In this paper, we present the design and implementation of G-Hadoop, a MapReduce framework that aims to enable large-scale distributed computing across multiple clusters. G-Hadoop uses the Gfarm file system as an underlying file system and executes MapReduce tasks across distributed clusters. Experiments of the G-Hadoop framework on distributed clusters show encouraging results.

关键词： MapReduce Hadoop Data Intensive Computing

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Fourth international workshop on high-level parallel programming models and supportive environments (Hips'99) 13th

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13th international parallel processing symposium, IPPS 1999 Held in Conjunction with the 10th symposium on parallel and distributed processing, SPDP 1999

作者： Mueller, Frank Humboldt-Universitäit zu Berlin Institut für Informatik Berlin Germany

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