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检索条件"任意字段=10th International Conference on Parallel and Distributed Computing, Applications and Technologies"

共 1767 条记录，以下是1001-1010 订阅

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Adaptive Metadata Management and Flexible Consistency in a distributed In-memory File-System

Adaptive Metadata Management and Flexible Consistency in a D...

引用

IEEE international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Kim-thomas Rehmann Serdar Dere Michael Schoettner Institut für Informatik Abteilung Betriebssysteme Heinrich-Heine-Universität Düsseldorf Düsseldorf Germany Heinrich-Heine-Universitat Dusseldorf Dusseldorf Nordrhein-Westfalen DE

distributed file-systems are a popular storage abstraction for cloud-computing applications. they provide generic data access for different applications in order to pass information between computing nodes and to save computation results persistently. the performance of distributed applications depends on data-consistency protocols and meta-data management, but these factors of influence are often statically configured in distributed file-systems. In this paper, we describe EFS, an in-memory file-system that manages meta-data and consistency by flexibly adapting to file-access patterns.

关键词： distributed computing

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TED: Efficient Type-based Composite Event Detection for Wireless Sensor Network

TED: Efficient Type-based Composite Event Detection for Wire...

引用

7th IEEE international conference on distributed computing in Sensor Systems (DCOSS)

作者： Lai, Steven Cao, Jiannong Fan, Xiaopeng Hong Kong Polytech Univ Internet & Mobile Comp Lab Kowloon Hong Kong Peoples R China Shenzhen Inst Adv Technol Chinese Acad Sci Shenzhen Peoples R China

ISBN: (纸本)9781457705137

Although there are several works on providing event-based services in pervasive environment or WSN, most of them have not considered composite event detection in an energy-efficient fashion. Composite events consist of multiple primitive events with temporal and spatial relations and are much more difficult to manage. Because of the resource constraints in WSN, existing event detection algorithms may not be suitable for WSN when energy efficiency is considered. In this paper, we propose TED (Type-based composite Event Detection), a distributed composite event detection algorithm. the essential idea of TED is type-based event fusion, where some sensor nodes are selected as fusion points. then lower-level events will be fused on these fusion points for detection of higher-level composite events. Each composite event type is assigned to certain fusion point for detection so that the composite events may be detected in-network instead of at the sink. Event fusion with minimum energy cost is an NP-complete problem. We propose a distributed randomized algorithm to solve the problem. We analyze the energy efficiency of TED to show both its effectiveness and efficiency. By carrying out both simulation and real world experiments on TED, we show that TED can reduce the energy cost by 10-20% in event-based WSN applications compared with naive event detection mechanism where the event relations are not considered.

关键词： Event detection Exponential distribution NP-complete problem Routing Subscriptions Switches TED Vehicles WSN distributed composite event detection algorithm distributed randomized algorithm efficient type-based composite event detection energy-efficient f

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parallel shape transformation using slices

Parallel shape transformation using slices

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作者： Yasmin, Shamima Talib, Abdullah Zawawi School of Computer Sciences Universiti Sains Malaysia 11800 USM Pulau Pinang Malaysia

ISBN: (纸本)9789604742776

parallel computing environment may be useful for faster and real time shape transformation generation. However, it is difficult to parallelised most of the existing shape transformation algorithms. In this paper, we describe parallelisation of a particular shape transformation algorithm based on the basic shape transformation algorithm. "Master-Slave" model is adopted in parallelising the method with one master node and several slave nodes. Initially, one processor each is assigned to source and target data and slicing of both source and target data takes place until the desired number of steps has been reached. parallelisation is also incorporated in the next step which is the interpolation phase and then also in surface reconstruction phase. We have shown that the proposed parallel version of the shape transformation algorithm is 'embarrassingly parallel'. the ease of implementing this parallel approach has also been compared to similar efforts in other shape transformation algorithms.

关键词： Surface reconstruction

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Secure E-Commerce Based on distributed Processing

Secure E-Commerce Based on Distributed Processing

引用

IEEE international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Kun Peng Institute for Infocomm Research USA

A new secret-sharing-based e-auction scheme is proposed. distributed bid opening is employed to protect bid privacy. It can achieve all the desired properties for sealed-bid auctions at a reasonable cost. Moreover, attacks existing in the current secret-sharing-based sealed-bid e-auction schemes are prevented in the new scheme. In addition, it does not need any trust assumption.

关键词： Bismuth Cryptography Privacy Polynomials Additives Protocols

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Architecting a Common Bridge Abstraction over Different Middleware Paradigms

Architecting a Common Bridge Abstraction over Different Midd...

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16th Ada-Europe international conference on Reliable Software technologies (Ada-Europe)

作者： Rodriguez-Lopez, Iago Garcia-Valls, Marisol Univ Carlos III Madrid Dept Telemat Engn Distributed Real Time Syst Lab Av Univ 30 Leganes 28911 Madrid Spain

ISBN: (纸本)9783642213380

Currently, there are a number of communication middleware technologies that are successful solutions to provide an abstraction for distributed computing in different domains. Although most current middlewares offer different interfaces for a number of programming languages, they are usually bound to use one specific communication paradigm. the usage of middleware decreases programming complexity, but it is not cost-free and fully transparent. Every distributed application using a communication middleware has some degree of dependence over the specific middleware it uses mainly related to the interaction paradigm of the communication. therefore, there is no fully transparent way to use middleware at present. this paper contributes to increase the transparency between applications and middlewares by presenting a common bridge that has been architected in an environment that requires using different middleware technologies interchangeably. this bridge is a software component to abstract the complexity of the middleware solutions requiring minimum porting efforts. Some results are presented to validate the transparency.

关键词： middleware interoperability component-based design real-time

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Investigation and Survey of Secret Sharing in Verifiable distributed Systems

Investigation and Survey of Secret Sharing in Verifiable Dis...

引用

IEEE international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Kun Peng Institute for Infocomm Research USA

the two most recent PVSS (publicly verifiable secret sharing) schemes are illustrated to be vulnerable to a simple attack. Moreover, one of them has to deteriorate its efficiency greatly to meet practical security requirement. the attack makes the share holders to receive incorrect shares, which will lead secret reconstruction to mistake. the efficiency deterioration is so serious that no practical application can tolerate it. So the two most recent PVSS schemes actually cannot work reliably and efficiently as they claim.

关键词： Protocols Public key Encryption Polynomials Silicon

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MapReduce Implementation of Prestack Kirchhoff Time Migration (PKTM) on Seismic Data

MapReduce Implementation of Prestack Kirchhoff Time Migratio...

引用

IEEE international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Nikzad Babaii Rizvandi Ali Javadzadeh Boloori Najmeh Kamyabpour Albert Y. Zomaya Networked Systems Theme National ICT Australia (NICTA) Australian Technology Park Park NSW Australia Centre of Distributed and High Performance Computing School of Information Technologies University of Sydney Park NSW Australia INEXT-Centre of Innovation in IT Services and Applications University of Technology Sydney NSW Australia Centre of Distributed and High Performance Computing School of Information Technologies University of Sydney NSW Australia

the oil and gas industries have been great consumers of parallel and distributed computing systems, by frequently running technical applications with intensive processing of terabytes of data. By the emergence of cloud computing which gives the opportunity to hire high-throughput computing resources with lower operational costs, such industries have started to adopt their technical applications to be executed on such high-performance commodity systems. In this paper, we first give an overview of forward/inverse Prestack Kirchhoff Time Migration (PKTM) algorithm, as one of the well-known seismic imaging algorithms. then we will explain our proposed approach to fit this algorithm for running on Google's MapReduce framework. Toward the end, we will analyse the relation between MapReduce-based PKTM completion time and the number of mappers/reducers on pseudo-distributed MapReduce mode.

关键词： Imaging Algorithm design and analysis Earth Program processors Signal processing algorithms distributed databases Industries

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parallel Hybrid SOM Learning on High Dimensional Sparse Data

Parallel Hybrid SOM Learning on High Dimensional Sparse Data

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10th international conference on Computer Information Systems and Industrial Management applications (CISIM 2011)

作者： Vojacek, Lukas Martinovic, Jan Dvorsky, Jiri Slaninova, Katerina Vondrak, Ivo VSB Tech Univ Ostrava Dept Comp Sci Ostrava 70833 Czech Republic

ISBN: (纸本)9783642272448

Self organizing maps (also called Kohonen maps) are known for their capability of projecting high-dimensional space into lower dimensions. there are commonly discussed problems like rapidly increased computational complexity or specific similarity representation in the high-dimensional space. In the paper there is proposed the effective clustering algorithm based on self organizing map with the main purpose to reduce high dimension of the input dataset. the problem of computational complexity is solved using parallelization;the speed of proposed algorithm is accelerated using the algorithm version suitable for data collections with certain level of sparsity.

关键词： Self organizing maps

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the Multidimensional Scaling and Barycentric Coordinates Based distributed Localization in Wireless Sensor Networks

The Multidimensional Scaling and Barycentric Coordinates Bas...

引用

IEEE international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Cuiqin Hou Yibin Hou Zhangqin Huang Huibing Zhang Embedded Software and System Institute Beijing University of Technology Beijing China GuiLin University of Electronic Technology Guilin Guangxi China

Position information is vital for wireless sensor networks in many applications. In this paper, based on the barycentric coordinate system, we incorporate a term constrains sensors to remain the intrinsic structure revealed by range measurements between neighboring nodes into the STRESS function, which is the cost function optimized by the distributed weighted-multidimensional scaling algorithm (dwMDS). By minimizing the modified cost function, we derive a distributed localization algorithm called the Multidimensional Scaling and Barycentric Coordinates based distributed Localization Algorithm (MDS_BC_DLA). Experimental results on four different types of WSNs show MDS_BC_DLA outperforms dwMDS.

关键词： Sensors Wireless sensor networks Signal processing algorithms Cost function Coordinate measuring machines Vectors Classification algorithms

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Performance improvement for multicore processors using variable page technologies

Performance improvement for multicore processors using varia...

引用

IEEE international conference on Networking, Architecture and Storage

作者： Zhang, Xiaohui Jiang, Yifei Cong, Ming Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Graduate University of Chinese Academy of Sciences Beijing 100049 China Loongson Technology Corporation Limited Beijing 100190 China

ISBN: (纸本)9780769545097

In order to improve system performance, many modern processors support superpage technology, which is also called variable page. It improves TLB coverage greatly without increasing TLB size. But supporting superpage brings great challenge to operating systems. In this paper, we implement two variable page technologies, including the static variable page and dynamic variable page, in Linux kernel on Godson-3 four-core processors. the static variable page technology is implemented on the basis of hugetlbfs pseudo filesystem. the dynamic one chooses proper page sizes according to the address spaces of applications adaptively. Experiment results show that static variable page technology improves the performance of scientific applications such as large matrix multiplication significantly. the number of TLB misses is reduced by 99% and the speed of large-scale matrix multiplication is improved by over 50%. the dynamic self-adapting variable page technology can bring an average performance improvement of 15% to SPECCPU 2000 benchmarks. Compared with system of single large page (64KB), the filesystem performance of system supporting dynamic variable page is significantly improved by about 25%. © 2011 IEEE.

关键词： Benchmarking

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