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检索条件"任意字段=7th International Symposium on Parallel and Distributed Computing"

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Mining of association rules on large database using distributed and parallel computing 7

Mining of association rules on large database using distribu...

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7th international Conference on Communication, computing and Virtualization (ICCCV)

作者： Vasoya, Anil Koli, Nitin St Gadge Baba Amravati Univ Amravati Maharashtra India

Now days due to rapid growth of data in organizations, extensive data processing is a central point of Information Technology. Mining of Association rules in large database is the challenging task. An Apriori algorithm is widely used to find out the frequent item sets from database. But it will be inefficient in case of large database because it will require more I/O load. Later drawback of the Apriori algorithm is overcome by many algorithms / parallel algorithms (model) but those are also inefficient to find frequent item sets from large database with less time and with great efficiency. Hence hybrid architecture is proposed which consists of integrated distributed and parallel computing concept. the main idea of new architecture is that we combine distributed as well as parallel computing in such a way that it will be efficient to find out frequent item sets from large databases in less time. It also handle large database with efficiently than existing algorithms. (C) 2016 Published by Elsevier B.V.

关键词： Apriori algorithm frequent Itemset (FIS) PAFI Transaction reduction distributed computing parallel computing clustering

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Planning in the Cloud: Massively parallel Planning 14

Planning in the Cloud: Massively Parallel Planning

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IEEE/ACM 7th international Conference on Utility and Cloud computing (UCC)

作者： thompson, Tommy Voorhis, Dave Univ Derby Dept Comp & Math Derby England

ISBN: (纸本)9781479978816

this paper describes preliminary work in creating a scalable service for the purposes of automated planning and scheduling: a methodology within artificial intelligence that requires flexible computational resources on a per-problem basis. We describe the challenges of automated planning and how moving solution construction to a distributed system alleviates issues faced in the application of planning in real-world problems. We explore how the current system has been designed and give indication of how this work moves towards creating an online planning service that is scalable to the needs of both individual users and the overall workload required of the system.

关键词： Automated planning

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On decentralized proactive resource allocation in asynchronous real-time distributed systems 7

On decentralized proactive resource allocation in asynchrono...

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7th IEEE international symposium on High Assurance Systems Engineering

作者： Hegazy, T Ravindran, B Georgia Inst Technol Dept Elect & Comp Engn Atlanta GA 30332 USA

ISBN: (纸本)0769517692

We present two classes of distributed algorithms called DRBA and DOBA, for decentralized, proactive resource allocation in asynchronous real-time distributed systems. the objective of the algorithms is to maximize aggregate application benefit and deadline-satisfied ratio for an user-specified future time interval. Since determining the optimal allocation is computationally intractable, the algorithms heuristically compute near-optimal allocations in polynomial-time. While the DRBA algorithms analyze subtask response times to determine allocation decisions, which are computationally expensive, the DOBA algorithms analyze processor overloads to compute their decisions in a much faster way. Within each class, we present three algorithms that differ in the way they tolerate end-host failures: no reallocation upon failure, stateless reallocation, and stateful reallocation.

关键词： Aggregates Algorithm design and analysis Delay distributed algorithms distributed computing Polynomials Quality of service Real time systems Resource management Runtime

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Semi-formal Models to Support Program Development: Autonomic Management within Component Based parallel and distributed Programming

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7th international symposium on Formal Methods for Components and Objects

作者： Aldinucci, M. Danelutto, M. Kilpatrick, P. Univ Turin Dept Comp Sci I-10124 Turin Italy Univ Pisa Dept Comp Sci I-56100 Pisa Italy Queens Univ Belfast Dept Comp Sci Belfast BT7 1NN Antrim North Ireland

ISBN: (纸本)9783642041662

Functional and non-functional concerns require different programming effort, different techniques and different methodologies when attempting to program efficient parallel/distributed applications. In this work we present a "programmer oriented" methodology based on formal tools that permits reasoning about parallel/distributed program development and refinement. the proposed methodology is semi-formal in that it does not require the exploitation of highly formal tools and techniques, while providing a palatable and effective support to programmers developing parallel/distributed applications, in particular when handling non-functional concerns.

关键词： program modelling rewriting non-functional concerns performance tuning autonomic computing

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An Optimized Reconfigurable System for computing the Phylogenetic Likelihood on DNA Data

An Optimized Reconfigurable System for Computing the Phyloge...

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26th IEEE international parallel and distributed Processing symposium (IPDPS) / Workshop on High Performance Data Intensive computing

作者： Berger, Simon A. Alachiotis, Nikolaos Stamatakis, Alexandros Heidelberg Inst Theoret Studies Exelixis Lab Sci Comp Grp Heidelberg Germany

ISBN: (纸本)9780769546766

the Phylogenetic Likelihood Function (PLF) is an important statistical function for evaluating phylogenetic trees. To this end, the PLF is the computational kernel of all state-of-the-art likelihood-based phylogenetic inference programs. Typically, it accounts for more than 85% of total execution time in such programs. We present a substantially improved hardware architecture for computing the PLF based on previous experiences with implementing the PLF on reconfigurable logic. Our new design is optimized for computing the PLF on four-state (DNA) input data. It is also adapted to the computational requirements of real-world tree inference programs and completely independent of the specific tree search algorithm at hand. Furthermore, we describe how our architecture can be modified and adapted to handle general n-state data, such as protein (20 states) or RNA secondary structure data (6, 7, or 16 states, depending on the model). Finally, we designed an interface mechanism such that our PLF hardware architecture can interact with the widely-used phylogenetic inference tool RAxML. We deploy FPGA technology to verify the correctness of the architecture and to evaluate performance.

关键词： Likelihood Functions hardware architecture execution time Reconfigurable logic ARCHITECTURE Building construction updated design configurability accuracy class

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A parallel algorithm for statistical multiword term extraction from very large corpora 17

A parallel algorithm for statistical multiword term extracti...

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2015 IEEE 17th international Conference on High Performance computing and Communications (HPCC)

作者： Goncalves, Carlos Silva, Joaquim F. Cunha, Jose C. IPL ISEL P-1959007 Lisbon Portugal Univ Nova Lisboa Fac Ciencias & Tecnol NOVA Lab Comp Sci & Informat P-2829516 Caparica Portugal

ISBN: (纸本)9781479989379

Multi-word Relevant Expressions (REs) can be defined as sequences of words (n-grams) with strong semantic meaning, such as "ice melting" and "Ministere des Affaires Etrangeres", useful in Information Retrieval, Document Clustering or Classification and Indexing of Documents. the need of extracting REs in several languages led research on statistical approaches rather than symbolic methods, since the former allow language-independence. Based on the assumption that REs have strong cohesion between their consecutive n-grams, the LocalMaxs algorithm is a language independent approach that extracts REs. Apart from its good precision, this extractor is time-consuming, being inoperable for Big Data if implemented in a sequential manner. this paper presents the first parallel and distributed version of this algorithm, achieving almost linear speedup and sizeup when processing corpora up to 1 billion words, using up to 54 virtual machines in a public cloud. this parallel version of the algorithm explores the statistical knowledge of the n-grams in the corpus, to promote the locality of the references.

关键词： Text Mining Large Corpora Multiword Terms Statistical Extraction parallel Processing Cloud

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Multiple ID data parallel wavelet transform

Multiple ID data parallel wavelet transform

引用

7th international symposium on Symbolic and Numeric Algorithms for Scientific computing, SYNASC 2005

作者： Onchiş, Darian Marta, Constantin Eftimie Murgu University Reşiţa Romania

ISBN: (纸本)0769524532

With the new trends in signals analysis for permanent improvement of the investigation systems there is a growing demand for fast and smart parallel algorithms to work on 1D long datasets. the idea is to compute the transform coefficients witch usually takes a long processing time even with the fast sequential wavelet algorithms like FWT ([3]), in a close to real time manner using variant number of processors with minimum communication requirements and optimal load balancing. We propose here a parallel method for the wavelet transform of signals based of the SIMD philosophy applied on distributed memory machines. We implemented and optimized the code to work whatever the number of time entries are by introducing a splitting step and dedicating for tests a number of new generation processors on a parallel Linux Cluster. © 2005 IEEE.

关键词： Wavelet transforms

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2(1-1/)-Factor Steiner Tree Approximation in Õ(n^1/3) Rounds in the CONGESTED CLIQUE 7

2(1-1/)-Factor Steiner Tree Approximation in Õ(n^1/3) Round...

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7th international symposium on computing and Networking, CANDAR 2019

作者： Saikia, Parikshit Karmakar, Sushanta Department of Computer Science and Engineering Indian Institute of Technology Guwahati781039 India

ISBN: (纸本)9781728147253

We study the Steiner tree problem in the CONGESTED CLIQUE model of distributed computing. We present a deterministic distributed approximation algorithm that computes a Steiner tree in Õ(n1/3) rounds and Õ(n7/3) messages for a given undirected weighted graph of n nodes with the approximation factor 2(1-1/) of the optimal, where is the number of terminal leaf nodes in the optimal Steiner tree. Note here that the Õ(⋅) notation hides polylogarithmic factors in n. To the best of our knowledge, this is the first work to study the Steiner tree problem in the CONGESTED CLIQUE model. © 2019 IEEE.

关键词： distributed computer systems

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Modeling and characterizing parallel computing performance on heterogeneous networks of workstations

Modeling and characterizing parallel computing performance o...

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Proceedings of the 1995 7th IEEE symposium on parallel and distributed Processing

作者： Zhang, Xiaodong Yan, Yong Univ of Texas at San Antonio San Antonio United States

A heterogeneous network of workstations (NOW) introduces a new performance factor into distributed computing: a large variation of the computing power of the different workstations. this unique factor makes traditional performance models/metrics for homogeneous computing measurement and evaluation not suitable for heterogeneous computing. In this paper, we present models which quantify the heterogeneity of networks and characterize the performance effects. the models consider effects of both the heterogeneity and time-sharing in a nondedicated environment. Speedup, efficiency and scalability are defined. these models are general enough to cover performance evaluation of both homogeneous and heterogeneous computations in dedicated and nondedicated NOW systems. To validate and support performance modeling results, we conducted a collection of experimental measurements for evaluating computing performance and scalability of a group of application programs on a heterogeneous NOW.

关键词： Computer networks

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EPH: An efficient and robust group membership topology for distributed systems

EPH: An efficient and robust group membership topology for d...

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7th IEEE international symposium on Networking computing and Applications, NCA 2008

作者： Madipadaga, Ravi Bhaskaran, Sabishaw Mukherjee, Saikat Siemens Corporate Technology Bangalore 560100 India

ISBN: (纸本)9780769531922

Group membership protocols in distributed systems enable entities in a group to be aware of all other entities in the group. this information is essential for the system to perform as a cohesive unit collaborating to achieve a common objective. In dynamic environments where devices join and leave the group frequently and failures occur, maintaining consistent group membership information efficiently is a non-trivial problem. We evaluate different logical topologies used to represent distributed systems and propose a group membership topology, extended polygonal hubs (EPH) which provides, 1) faster view convergence times and 2) better robustness characteristics compared to traditional hierarchical trees. © 2008 IEEE.

关键词： Topology

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