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检索条件"任意字段=International Conference on Parallel and Distributed Processing Techniques and Applications"

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A data lineage model for distributed sub-image processing

A data lineage model for distributed sub-image processing

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2010 Annual Research conference of the South African Institute of Computer Scientist and Information Technologists, SAICSIT 2010

作者： Mwebaze, Johnson McFarland, John Booxhorn, Danny Valentijn, Edwin Makerere University Netherlands University of Groningen Landleven 12 9700 AV Groningen Netherlands

ISBN: (纸本)9781605589503

An important challenge facing e-Science is the development of scalable systems and analysis techniques that allow client applications to locate data and services in increasingly large-scale distributed environments. e-Science Systems should achieve three main goals: (i) efficient and selective processing of data, (ii) support network collaboration without clogging distribution networks;and (iii) allow transparency of experiments through repeatability and verifiability of experiments. Several systems have addressed limited combinations of these properties, but we address all three in this work. We describe the architecture and implementation of such a framework in Astro-WISE, an astronomical approach to distributed data processing, discovery and retrieval of datasets that achieves scalability via dynamic linking (data lineage) maintained within the system. We show that lineage data collected during the processing and analysis of datasets can be reused to perform selective reprocessing(at sub-image level)ondatasets while the remainder of the dataset is untouched, a rather difficult process to automate without lineage. © 2010 ACM.

关键词： e-Science

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distributed technique applied for classification of human protein class

Distributed technique applied for classification of human pr...

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international conference on Electrical, Control and Computer Engineering

作者： Kang, Shivani Kang, Amardeep Singh, Gurpreet Deptt. of Computer Science and Engineering Chandigarh Group of Colleges Gharaun Campus Mohali Punjab India Deptt. of Computer Applications Chandigarh Group of Colleges Gharaun Campus Mohali Punjab India

ISBN: (纸本)9781612842288

Class prediction of a protein facilitates to enhance the process of drug discovery. In drug discovery, it is very problematic to find out the complementary protein for each protein individually. But if the class of the protein will be known for which the drug is to be discovered then it will become very smooth to find the complementary protein sequence which can be attached to the active site of the protein to stop it to expand. The main concern of the proposed work is the prediction of such a tool to nullify the drug with the help of distributed processing, which assists to fasten the process as compared to the previous tools used. The tool presented with the help of distributed processing to neutralize the drug ensures a large scope for practical application of the Human Protein Prediction. So, class prediction of a protein supports to shorten the process of drug identification. The modified technique for protein function prediction will be developed based on the limitations in present techniques. © 2011 IEEE.

关键词： Proteins

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Diamont: Dynamic Monitoring of Uncertainty for distributed Asynchronous Programs 21st

Diamont: Dynamic Monitoring of Uncertainty for Distributed A...

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21st international conference on Runtime Verification (RV)

作者： Fernando, Vimuth Joshi, Keyur Laurel, Jacob Misailovic, Sasa Univ Illinois Urbana IL 61801 USA

ISBN: (纸本)9783030884949;9783030884932

Many application domains including graph analytics, the Internet-of-Things, precision agriculture, and media processing operate on noisy data and/or produce approximate results. These applications can distribute computation across multiple (often resource-constrained) processing units. Analyzing the reliability and accuracy of such applications is challenging, since most existing techniques operate on specific fixed error models, check for individual properties, or can only be applied to sequential programs. We present Diamont, a system for dynamic monitoring of uncertainty properties in distributed programs. Diamont programs consist of distributed processes that communicate via asynchronous message passing. Diamont includes datatypes that dynamically monitor uncertainty in data and provides support for checking predicates over the monitored uncertainty at runtime. We also present a general methodology for verifying the soundness of the runtime system and optimizations using canonical sequentialization. We implemented Diamont for a subset of the Go language and evaluated eight programs from precision agriculture, graph analytics, and media processing. We show that Diamont can prove important end-to-end properties on the program outputs for significantly larger inputs compared to prior work, with modest execution time overhead: 3% on average and 16.3% at maximum.

关键词： Precision agriculture

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Euro-Par 2014 parallel processing 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Fernando Silva Inês Dutra Vítor Santos Costa

ISBN: (数字)9783319098739

ISBN: (纸本)9783319098722

This book constitutes the refereed proceedings of the 20th international conference on parallel and distributed Computing, Euro-Par 2014, held in Porto, Portugal, in August 2014. The 68 revised full papers presented were carefully reviewed and selected from 267 submissions. The papers are organized in 15 topical sections: support tools environments; performance prediction and evaluation; scheduling and load balancing; high-performance architectures and compilers; parallel and distributed data management; grid, cluster and cloud computing; green high performance computing; distributed systems and algorithms; parallel and distributed programming; parallel numerical algorithms; multicore and manycore programming; theory and algorithms for parallel computation; high performance networks and communication; high performance and scientific applications; and GPU and accelerator computing.

关键词： Programming Languages, Compilers, Interpreters Operating Systems System Performance and Evaluation Computer Communication Networks Algorithm Analysis and Problem Complexity

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parallel and distributed particle collision simulation with decentralized control

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3rd international conference on Grid and Pervasive Computing

作者： Li, Ruipeng Jiang, Hai Su, Hung-Chi Zhang, Bin Jenness, Jeff Arkansas State Univ Dept Computat Sci State Univ AR 72467 USA Univ Arkansas Dept Chem & Phys Fayetteville AR 72701 USA

ISBN: (纸本)9783540680819

Scientific computing applications with highly demanding data capacity and computation power drive a computing platform migration from shared memory machines to multi-core/multiprocessor computer clusters. However, overheads in coordinating operations across computing nodes could counteract the benefit of having extra machines. Furthermore, the hidden dependency in applications slows down the simulation over non-shared memory machines. This paper proposed a framework to utilize multi-core/multiprocessor clusters for distributed simulation. Among several coordination schemes, decentralized control approach has demonstrated its effectiveness in reducing the communication overheads. A speculative execution strategy is applied to exploit parallelism thoroughly and overcome strong data dependency. Performance analysis and experiments are provided to demonstrate the performance gains.

关键词： parallel processing systems

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Developing a new modified Algorithms for Digital Image Sampling and Quantization in Serial and parallel Image processing

Developing a new modified Algorithms for Digital Image Sampl...

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2023 IEEE international conference on Paradigm Shift in Information Technologies with Innovative applications in Global Scenario, ICPSITIAGS 2023

作者： Jayashankari, J. Shalini, V. Pandey, Megha Swetha, S. Sharma, Mohit Kumar Khurana, Jatin Prince Shri Venkateshwara Padmavathy Engineering College Department of Information Technology Chennai127 India Vishwakarma Institute of Information Technology Department of Information Technology Pune India Maharishi School of Engineering and Technology Maharishi University of Information Technology U P India Department of Computer Science and Information Technology Karnataka Bangalore India Vivekananda Global University Department of Electrical Engineering Jaipur India University Institute of Engineering and Technology Chitkara University Centre of Interdisciplinary Research in Business and Technology Punjab India

ISBN: (纸本)9798350329773

The improvement of a new changed algorithms for virtual photograph sampling and quantization in serial and parallel image processing is proposed. The set of rules improves upon existing methods with the aid of combining picture sampling, quantization, and parallelization techniques with an efficient, in-region serial photograph processing framework. The ensuing algorithm has several advantages, which includes more accurate and steady photograph output, quicker convergence fees, and flexibility in process scheduling. The set of rules is nicely-suitable to parallel computing environments, together with clusters and multi-center structures. Via widespread experimentation and simulation, the proposed set of rules is located to be effective and to outperform present techniques. Moreover, the performance of the proposed set of rules changed into further confirmed thru a comparison to present methods, and the parameters of the version had been tuned in order to optimize overall performance. © 2023 IEEE.

关键词： Image enhancement

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Proof-of-Work-Based Consensus in Expected-Constant Time 43rd

Proof-of-Work-Based Consensus in Expected-Constant Time

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43rd Annual international conference on the Theory and applications of Cryptographic techniques (EUROCRYPT)

作者： Garay, Juan Kiayias, Aggelos Shen, Yu Texas A&M Univ College Stn TX USA Univ Edinburgh Edinburgh Midlothian Scotland IOG Edinburgh Midlothian Scotland

ISBN: (纸本)9783031587337;9783031587344

In the traditional consensus problem (aka Byzantine agreement), parties are required to agree on a common value despite the malicious behavior of some of them, subject to the condition that if all the honest parties start the execution with the same value, then that should be the outcome. This problem has been extensively studied by both the distributed computing and cryptographic protocols communities. With the advent of blockchains, whose main application-a distributed ledger-essentially requires that miners agree on their views, new techniques have been proposed to solve the problem, and in particular in so-called "permissionless" environments, where parties are not authenticated or have access to point-to-point channels and, further, may come and go as they please. So far, the fastest way to achieve consensus in the proof-of-work (PoW)-based setting of Bitcoin, takes O(polylog.) number of rounds, where. is the security parameter. We present the first protocol in this setting that requires expected-constant number of rounds. Furthermore, we show how to apply securely sequential composition in order to yield a fast distributed ledger protocol that settles all transactions in expected-constant time. Our result is based on a novel instantiation of " m-for-1 PoWs" on parallel chains that facilitates our basic building block, Chain-King Consensus. The techniques we use, via parallel chains, to port classical protocol design elements (such as Phase-King Consensus, super-phase sequential composition and others) into the permissionless setting may be of independent interest.

关键词： distributed ledger

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Mobile Agent Model with Efficient Communication for distributed Data Mining 1

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1st international conference on Internet Computing and Information Communications (ICICIC)

作者： Kavitha, S. Kumar, K. Senthil Anandam, K. V. Arul SRM Univ Dept Comp Applicat Madras Tamil Nadu India Govt Thirumagai Mills Coll Gudiyattam Tamil Nadu India

ISBN: (纸本)9788132212980;9788132212997

This paper presents the managing of large-scale distributed system with the use of mobile agent concept in distributed environment which is becoming an increasing challenging task. The primary goal is to ensure efficient use of resources, services of computer systems, and networks to provide timely services to the end users using mobile agent with decentralized processing and control in distributed resources so as to minimize the network traffic and speed up management tasks in distributed environment, provide more scalability, and to provide more flexibility in the development and maintenance of the applications. The problem with the traditional techniques is, when the number of visited nodes grows, the mobile agent size also increases and making migration harder. One possible solution to this problem is to visit a fixed number of nodes, return to the agent home or send all data to it (reducing the mobile agent size), and start the task again on the remaining nodes. The initial size of a mobile agent also affects agent performance, since the larger the size, the more difficult the migration.

关键词： Mobile agent distributed data mining Mobile agent model Communication among agents Agent architecture

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Develop web services for reliable cross-platform web applications

Develop web services for reliable cross-platform web applica...

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10th international conference on Quality Software, QSIC 2010

作者： Liu, Jiang B. Praveen, Nithya Vasudevan Macherla, Kumar Computer Science and Information Systems Department Bradley University Peoria IL 61625 United States

ISBN: (纸本)9780769541310

We have developed reliable web applications based on the web services technology on J2EE and .NET. Web applications implemented using web services are platform and language independent. The web services are available from several servers on different platforms so that the users can have a truly dynamic web services environment with autonomous services with underline server and user credential context automatic transfer for load balancing, security, and robust performance. Our implementation indicated that this cross-platform enterprise application using web services are reliable and secure. © 2010 IEEE.

关键词： Web services

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Modelling the COVID-19 infection rate through a Physics-Informed learning approach 31

Modelling the COVID-19 infection rate through a Physics-Info...

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31st Euromicro international conference on parallel, distributed and Network-Based processing, PDP 2023

作者： De Rosa, Mariapia Giampaolo, Fabio Piccialli, Francesco Cuomo, Salvatore University of Naples Federico Ii Dept. of Mathematics and Applications 'R. Caccioppoli' Napoli Italy

ISBN: (纸本)9798350337631

Over the past two years, the COVID-19 pandemic has been one of the most frequently and hotly debated social topics. Lockdowns and restrictions radically change the way of working and socializing due to social distancing and wearing masks;the ongoing pandemic impacts people's life and psychological health. Infection Rate Rt has been the main parameter used by national and local governments worldwide for describing the pandemic behavior synthetically. Rt was adopted to define containment policies (lockdowns, social distancing, intermittent regional strategies, etc.) that have affected social life. In the present paper, we propose an Artificial Intelligence (AI) approach for the modeling of the COVID-19 Infection Rate Rt by exploiting the novel methodology of the Physics-Informed Neural Networks (PINNs) to compute the susceptible-infected-dead-recovered (SIDR) model. To test the accuracy of the neural network, we predicted the susceptible, infected, dead, and recovered on the next 30 days against the considered period. © 2023 IEEE.

关键词： COVID-19

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