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Summary Creation for Information Discovery in distributed systems

Summary Creation for Information Discovery in Distributed Sy...

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Euromicro conference on parallel, distributed and Network-Based Processing

作者： Agustin C. Caminero Eduardo Huedo Omer Rana Ignacio M. Llorente Blanca Caminero Carmen Carrión The National University of Distance Education Spain The Complutense University Spain The University of Cardiff UK The University of Castilla La Mancha Spain

In current distributed systems, such as Grids, Clouds, or P2P systems, the amount of information to handle influences the way the system is managed. In P2P systems containing large quantities of data, or in Grid systems containing a large number of (often heterogeneous) resources, information about data or resources must be spread through the system in an efficient way in order to allow them to be found. An information discovery technique based on data summarization, via clustering, is presented. these summaries can be used to classify information to provide users with greater insight about documents or computing resources compared to raw data. Also, meta-schedulers or brokers would benefit from the proposed technique due to the fact that they would have to deal with less data from resources, thus aiding to the scalability of the system. An evaluation of the approach is subsequently provided to identify the impact of choosing particular parameters to be used as part of the summary.

关键词： Clustering algorithms Computational modeling Databases Scalability Electronic mail Proposals Peer to peer computing

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Fulfilling end-to-end latency constraints in large-scale streaming environments

Fulfilling end-to-end latency constraints in large-scale str...

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30th IEEE international Performance, computing and Communications conference, IPCCC 2011

作者： Rizou, Stamatia Dürr, Frank Rothermel, Kurt Universität Stuttgart Institute of Parallel and Distributed Systems Universitätstraße 38 70569 Stuttgart Germany

ISBN: (纸本)9781467300100

the on-line processing of high volume data streams is a prerequisite for many modern applications relying on real-time data such as global sensor networks or multimedia streaming. In order to achieve efficient data processing and scalability w.r.t. the number of distributed data sources and applications, in-network processing of data streams in an overlay network of data processing operators has been proposed. For such stream processing overlay networks, the placement of operators onto physical hosts plays an important role for the resulting quality of service - in particular, the end-to-end latency - and network load. To this end, we present an enhanced placement algorithm that minimizes the network load put onto the system by a stream processing task under user-defined delay constraints in this paper. Our algorithm finds first the optimal solution in terms of network load and then degrades this solution to find a constrained optimum. In order to reduce the overhead of the placement algorithm, we included mechanisms to reduce the search space in terms of hosts that are considered during operator placement. Our evaluations show that this approach leads to an operator placement of high quality solution while inducing communication overhead proportional only to a small percentage of the total hosts. © 2011 IEEE.

关键词： Overlay networks

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Efficient parallel execution of streaming applications on multi-core processors

Efficient parallel execution of streaming applications on mu...

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Euromicro conference on parallel, distributed and Network-Based Processing

作者： Tobias Schuele System Architecture and Platforms Corporate Technology Siemens AG Munich Germany

We propose a method for the parallel execution of applications that process continuous streams of data. Unlike pipeline-based approaches, which are frequently employed to parallelize software for multi-core processors, our method supports nonlinear structures that may contain conditionals. Nonlinear structures reduce the latency for processing an element from a stream, which is particularly important for embedded systems that are subject to real-time constraints.

关键词： Embedded systems Real time systems Multicore processing Pipeline processing

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High Performance Peer-to-Peer distributed computing with Application to Constrained Two-Dimensional Guillotine Cutting Problem

High Performance Peer-to-Peer Distributed Computing with App...

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Euromicro conference on parallel, distributed and Network-Based Processing

作者： Mhand Hifi Toufik Saadi Nawel Haddadou Laboratoire MIS Axe Optimisation Discrète et Réoptimisation Université de Picardie Jules Verne Amiens France

this paper proposes a parallel peer-to-peer cooperative algorithm for approximately solving the constrained fixed-orientation two-staged two-dimensional cutting problem. the resolution process is based in three mechanisms: a beam-search search strategy, a strip generation filling procedure, and a upper bound applied for refining the selected paths. the algorithm explores, in parallel, a subset of elite nodes where each processor develops its own path according to its internal lists. the algorithms adapts to the number of processors available on the peer-to-peer platform by backuping the plateform the partial solutions. the computational investigation on the P2Pdc environment shows the good efficiency of the proposed algorithm.

关键词： Strips Peer to peer computing Scattering Upper bound parallel algorithms Approximation algorithms Search problems

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GroupRecoPF: Innovative Group Recommendations in a distributed Platform

GroupRecoPF: Innovative Group Recommendations in a Distribut...

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Euromicro conference on parallel, distributed and Network-Based Processing

作者： Tom Gross Christoph Beckmann Maximilian Schirmer Faculty of Media Bauhaus University Weimar Weimar Germany

Group recommender systems provide groups of users with shared recommendations. they have great potential for easing group decision processes, while at the same time entailing new technological and user-centred challenges. In this paper we present the GroupRecoPF platform providing developers with support for building scalable and user-friendly group recommender systems. It leverages on advanced concepts for group recommendation merging strategy exploration, performance optimisation, session persistence and mobility, as well as open interfaces.

关键词： Merging Motion pictures Recommender systems Collaboration Prediction algorithms Servers

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Credibility Enhanced Reputation Mechanism for distributed E-communities

Credibility Enhanced Reputation Mechanism for Distributed E-...

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Euromicro conference on parallel, distributed and Network-Based Processing

作者： Eleni Koutrouli Aphrodite Tsalgatidou Department of Informatics & Telecommunications National and Kapodistrian University of Athens Athens Greece

P2P communities are online communities of entities which offer services to each other without a central administration. Community members that need a specific service have to choose the transaction partner which they believe that will provide them with a required service of the expected quality, thus, they need mechanisms to support trust decisions regarding who they will transact with. P2P reputation systems provide trust mechanisms for P2P communities. Due to their decentralized and social nature, they are vulnerable to various types of attacks which distort their credibility and effectiveness. In our paper we first identify the credibility factors of a P2P reputation system. then we describe a dynamic reputation mechanism for P2P communities, which integrates some of these credibility factors and which can be used as part of a comprehensive reputation system enhancing its robustness against some types of attacks. Simulation results show the effectiveness of our mechanism in relation to other reputation mechanisms which do not integrate such factors.

关键词： Communities Peer to peer computing Measurement Collaboration Heuristic algorithms Quality of service Silicon

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Perspective of the Large Scale Data Facility (LSDF) Supporting Nuclear Fusion Applications

Perspective of the Large Scale Data Facility (LSDF) Supporti...

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Euromicro conference on parallel, distributed and Network-Based Processing

作者： Rainer Stotzka Volker Hartmann thomas Jejkal Michael Sutter Jos van Wezel Marcus Hardt Ariel García Rainer Kupsch Serguei Bourov Karlsruhe Institute of Technology (KIT) Institute for Data Processing and Electronics (IPE) Karlsruhe Germany Karlsruhe Institute of Technology (KIT) Steinbuch Centre for Computing (SCC) Karlsruhe Germany

To cope with the growing requirements of data intensive scientific experiments, models and simulations the Large Scale Data Facility(LSDF) at KIT aims to support many scientific disciplines. the LSDF is a distributed storage facility at Exabyte scale providing storage, archives, data bases and meta data repositories. Open interfaces and APIs support a variety of access methods to the highly available services for high throughput data applications. Tools for an easy and transparent access allow scientists to use the LSDF without bothering with the internal structures and technologies. In close cooperation with the scientific communities the LSDF provides assistance to efficiently organize data and metadata structures, and develops and deploys community specific software on the directly connected computing infrastructure.

关键词： Communities Software Protocols Standards organizations Organizations Microscopy distributed databases

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distributed and Asynchronous Bees Algorithm Applied to Nuclear Fusion Research

Distributed and Asynchronous Bees Algorithm Applied to Nucle...

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Euromicro conference on parallel, distributed and Network-Based Processing

作者： Antonio Gómez-Iglesias Miguel A. Vega-Rodríguez Francisco Castejón Miguel Cárdenas-Montes National Fusion Laboratory CIEMAT Madrid Spain National Fusion Laboratory - CIEMAT. Avda. Complutense Spain Department of Technologies of Computers and Communications University of Extremadura Escuela Politecnica Campus Universitario s/n Cáceres Spain Department of Technologies of Computers and Communications Escuela Politécnica University of Extremadura Caceres Spain Department of Fundamental Research CIEMAT. Avda. Complutense Spain

Recently, there have been several developments in the scientific community to model and solve complex optimization problems by employing natural metaphors. In some cases, due to their distributed schema, these algorithms can be adapted to distributed computing environments. A distributed and asynchronous bees (DAB) grid-based approach is here used to optimise the magnetic configuration in order to reduce the neoclassical transport of particles in a nuclear fusion device. Large-scale problems (as several plasma physics can be classified) present open challenges that need a large computing capacity to be solved. thus, the use of large distributed infrastructures is mandatory in many of these problems. the use of grid computing offers a new paradigm where the distributed nature of foraging can be reproduced and applied to complex optimisation problems.

关键词： Equations Plasmas Optimization Mathematical model Fusion reactors Magnetic devices Electronic mail

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Reliability Study of Coding Schemes for Wide-Area distributed Storage systems

Reliability Study of Coding Schemes for Wide-Area Distribute...

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Euromicro conference on parallel, distributed and Network-Based Processing

作者： Kathrin Peter Computer Science Research Zuse Institute Berlin Berlin Germany

distributed storage systems comprise a large number of commodity hardware distributed across several data centers. Even in the presence of failures (permanent failures) the system should provide reliable storage. While replication has advantages because of its simplicity there exist coding techniques that provide adaptable reliability properties with an optimal redundancy ratio at the same time e.g. MDS (maximum distance separable) erasure codes. the coding and distribution scheme influences the prospective storage reliability. In this paper we present reliability models for erasure coding and replication techniques especially for their application in wide-area storage systems. Furthermore we utilize these models to quantify the reliability properties of concrete data storage scenarios.

关键词： Redundancy Encoding Markov processes Servers Data models Maintenance engineering

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Job Scheduling with License Reservation: A Semantic Approach

Job Scheduling with License Reservation: A Semantic Approach

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Euromicro conference on parallel, distributed and Network-Based Processing

作者： Jorge Ejarque Andras Micsik Raul Sirvent Peter Pallinger Laszlo Kovacs Rosa M. Badia Computer Architecture Department Universitat Politecnica de Catalunya Barcelona Spain Grid Computing and Clusters Group Barcelona Supercomputing Center Barcelona Spain Distributed Systems Department-Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Budapest Hungary Artificial Intelligence Research Institute Spanish National Research Council Barcelona Spain

the license management is one of the main concerns when Independent Software Vendors (ISV) try to distribute their software in computing platforms such as Clouds. they want to be sure that customers use their software according to their license terms. the work presented in this paper tries to solve part of this problem extending a semantic resource allocation approach for supporting the scheduling of job taking into account software licenses. this approach defines the licenses as another type of computational resource which is available in the system and must be allocated to the different jobs requested by the users. License terms are modeled as resource properties, which describe the license constraints. A resource ontology has been extended in order to model the relations between customers, providers, jobs, resources and licenses in detail and make them machine processable. the license scheduling has been introduced in a semantic resource allocation process by providing a set of rules, which evaluate the semantic license terms during the job scheduling.

关键词： Licenses Software Semantics Resource management Ontologies Processor scheduling Law

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