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GPGPU Implementation of Adaptive Fractal Image Coding Algorithm using Index Vectors

GPGPU Implementation of Adaptive Fractal Image Coding Algori...

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9th IEEE international conference on Industrial Informatics (INDIN)

作者： Wakatani, Akiyoshi Mede, Masayuki Tanaka, Koujirou Konan Univ Fac Intelligence & Informat Higashinada Ku 8-9-1 Okamoto Kobe Hyogo 6588501 Japan Konan Univ Grad Sch Nat Sci Kobe Hyogo Japan

ISBN: (纸本)9781457704345

Fractal image coding is one of the most prominent compression technologies. It can be also used for industrial applications like image indexing methods and image retrieval methods. On the other hand, GPGPU (General Purpose computing on Graphic Processing Unit) attracts a great deal of attention, which is used for general-purpose computations like numerical calculations as well as graphic processing. In this paper, we evaluate two parallel programs for adaptive fractal image coding algorithms on GPUs by using CUDA (Compute Unified Device Architecture) and and discuss the effectiveness of parallel programs using index vectors. the adaptive approach can achieve the image compression with given quality level by changing the size of range blocks in any location.

关键词： multithread parallel processing GPU image coding multicore processor CUDA

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A distributed architecture for micro context-aware agents

A distributed architecture for micro context-aware agents

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2nd international conference on Ambient Systems, Networks and technologies, ANT-2011 and 8th international conference on Mobile Web Information Systems, MobiWIS 2011

作者： Roy, Patrice Abdulrazak, Bessam Belala, Yacine J1K 2R1 Canada H5A 1K6 Canada

Open intelligent space is a space where mobile Agents can move in an unconstrained physical manner. While such a space enables a wide range of contextual applications that address the needs of mobile users, it introduces a new set of issues due to the dynamic nature of the Agent network. To address these issues, we propose a distributed architecture for autonomic Agents that relies on a micro-level, local, approach to Context Awareness. the underlying Context and programming models are presented, including the mechanisms and strategies used for Agent life cycle management, network isolation and Context request, processing and publishing. © 2011 Published by Elsevier Ltd.

关键词： Middleware

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parallel performance evaluation and profiling of multiple sequence nucleotide alignment on the supercomputer BlueGene/P

Parallel performance evaluation and profiling of multiple se...

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6th IEEE international conference on Intelligent Data Acquisition and Advanced computing Systems: Technology and applications, IDAACS'2011

作者： Borovska, Plamenka Gancheva, Veska Markov, Stoyan Georgiev, Ivailo Asenov, Emilyan Computer Systems Department Technical University of Sofia 1000 Kliment Ohridski 8 Boul Bulgaria

ISBN: (纸本)9781457714238

Biological sequence processing is a key of information technology for molecular biology. this scientific area requires powerful computing resources for exploring large sets of biological data. Multiple sequence alignment is an important method in the DNA and protein analysis. ClustalW has become the most popular tool and implements a progressive method for multiple sequence alignment. the goal of this paper is to propose the performance evaluation of the efficiency of parallel multiple alignment on the supercomputer BlueGene/P for the case study of investigating viral nucleotide sequences and finding out consensus motifs and variable domains in the different segments of influenza virus A genome. parallel performance evaluation and profiling of multiple sequence alignment have been performed on the basis of parallel program implementation based on ClustalW method and a local mirror database of all available isolates of the 8 segments of the influenza virus A. the molecular biology outcome of the experiments is that the consensus and the variable domains in Influenza virus A under investigation have been determined and output by utilizing the biological sequence alignment editor UGENE UniPro. © 2011 IEEE.

关键词： Supercomputers

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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...

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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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Secure E-Commerce Based on distributed Processing

Secure E-Commerce Based on Distributed Processing

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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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An approach to convert scientific data description

An approach to convert scientific data description

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6th IEEE international conference on Intelligent Data Acquisition and Advanced computing Systems: Technology and applications, IDAACS'2011

作者： Gancheva, Veska Shishedjiev, Bogdan Kalcheva-Yovkova, Elena Programming and Computer Technologies Department Technical University of Sofia 1000 Kliment Ohridski 8 boul. Bulgaria

ISBN: (纸本)9781457714238

Data obtained from the scientific experiments are heterogeneous and distributed. they are stored in different file formats so it is difficult to be integrated, analyzed, processed and visualised. Scientific experiments require effective and efficient data management. In this paper an approach to convert raw data obtained from scientific experiments into relational database using XML based description is proposed. the approach is tested and verified by database and web service implementations. the implemented web service provides authorized access to the experimental data. In order to provide a secure data transmission and data access the database is encrypted through an asymmetric 128-bit encrypting method implementation based on public and private key. A number of experiments using specific scientific data obtained from various experimental instruments are conducted to illustrate the usage of the proposed approach. © 2011 IEEE.

关键词： Data description

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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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parallel analytic hierarchy process for web service discovery and composition 11

Parallel analytic hierarchy process for web service discover...

引用

8th international Workshop on Information Integration on the Web, IIWeb 2011

作者： thirumaran, M. Dhavachelvan, P. Lakshmi, P. Sheela, S. India Dept. of CSE Pondicherry University India PEC India

ISBN: (纸本)9781450306201

Web services based SOA are dramatically speeding up the application development process. they also see it as a way to build applications and systems that are more adaptable. Web services are poised to have a dramatic effect on business enterprises that think of themselves as independent of technology trends. Web services are being considered an excellent technology to solve distributed computing challenges in the Internet area. So now a days Web Service discovery is an essential element in Service-Oriented computing. But selecting appropriate web services for the benefits of service consumers is a key issue in service discovery. Web service discovery is based on service functionality and QoS. However, without Web service quality standards and quality-based discovery mechanisms, the trustworthiness of business-to-business interactions can't be guaranteed. Web service discovery spread up into these areas like agent, ontology, semantic, context server. But even though number of techniques, methods proposed for web service is always been a question. We have wide rage of QoS parameters but it is not easy to select the best one. So we are analyzing the QoS parameters and selecting the best service according to the user request. For better decision making the Analytic Hierarchy Process (AHP), a multiple criteria decision making method, is applied as an underlying mechanism for developing a flexible and effective ranking algorithm. Copyright © 2011 ACM.

关键词： Quality of service

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

MapReduce Implementation of Prestack Kirchhoff Time Migratio...

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

The Multidimensional Scaling and Barycentric Coordinates Bas...

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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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