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共 1804 条记录，以下是551-560 订阅

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An Experimental Study of Workflow Scheduling Algorithms for Heterogeneous Systems 14th

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14th international conference on parallel computing technologies (PaCT)

作者： Nazarenko, Alexey Sukhoroslov, Oleg Russian Acad Sci Inst Informat Transmiss Problems Moscow Russia

ISBN: (纸本)9783319629322;9783319629315

the paper studies the efficiency of nine state-of-the-art algorithms for scheduling of workflow applications in heterogeneous computing systems (HCS). the comparison of algorithms is performed on the base of discrete-event simulation for a wide range of workflow and system configurations. the developed open source simulation framework based on SimGrid toolkit allowed us to perform a large number of experiments in a reasonable amount of time and to ensure reproducible results. the accuracy of the used network model helped to reveal drawbacks of simpler models commonly used for studying scheduling algorithms.

关键词： distributed computing Heterogeneous systems Scheduling Workflow Simulation

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IMCIC 2017 - 8th international Multi-conference on Complexity, Informatics and Cybernetics, Proceedings

IMCIC 2017 - 8th International Multi-Conference on Complexit...

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8th international Multi-conference on Complexity, Informatics and Cybernetics, IMCIC 2017

ISBN: (纸本)9781941763551

the proceedings contain 75 papers. the topics discussed include: seed differential processing technique for sequential estimation acquisition in the presence of data modulation;integration of language processing and linguistic research as the mainstream in the Arabic studies;hacking experiment using USB rubber ducky scripting;modeling of the motion and interaction of carbon particles in the plasma electric arc discharge using parallel programming technologies;parallel implementation of the bat algorithm on a single computer;selected issues of IT risk management in the cloud computing model. theory and practice;ameliorating sources of human error in CyberSecurity: technological and human-centered approaches;solving the economic load dispatch problem using crow search algorithm;ozone problem: final solution;using simulation modeling approach to predict USMLE steps 1 and 2 performances;educational theories, methodologies and technology integration in the classroom;how to incorporate technology with inquiry-based learning to enhance the understanding of chemical composition;how to analyze unknown samples;complexity in practice: development and deployment of e-learning system for secondary schools in Bangladesh;and green synthesis of nanoparticles -a learning experience.

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Design and implementation of a new execution model for CAPE 17

Design and implementation of a new execution model for CAPE

引用

8th international Symposium on Information and Communication Technology, SoICT 2017

作者： Tran, Van Long Renault, Éric Do, Xuan Huyen Ha, Viet Hai SAMOVAR Téléom SudParis CNRS UniversitéParis-Saclay Évry France Hue Industrial College Hue Viet Nam College of Sciences Hue University Hue Viet Nam College of Education Hue University Hue Viet Nam

ISBN: (纸本)9781450353281

CAPE, which stands for Checkpointing-Aided parallel Execution, is an approach based on checkpoints to automatically translate and execute OpenMP programs on distributed-memory architectures. this approach demonstrates high-performance and completes compatibility with OpenMP on distributed-memory system. this paper presents a new design and implementation model for CAPE that improves the performance and makes CAPE even more flexible. © 2017 Association for computing Machinery.

关键词： parallel programming

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Automatic characterization of hpc job parallel filesystem I/O patterns 18

Automatic characterization of hpc job parallel filesystem I/...

引用

2018 Practice and Experience in Advanced Research computing conference: Seamless Creativity, PEARC 2018

作者： White, Joseph P. Innus, Martins Kofke, Alexander D. Jones, Matthew D. DeLeon, Robert L. Furlani, thomas R. Center for Computational Research Buffalo NY United States University at Buffalo BuffaloNY United States

ISBN: (纸本)9781450364461

As part of the NSF funded XMS project, we are actively researching automatic detection of poorly performing HPC jobs. To aid the analysis we have generated a taxonomy of the temporal I/O patterns for HPC jobs. In this paper we describe the design of temporal pattern characterization algorithms for HPC job I/O. We have implemented these algorithms in the Open XDMoD job analysis framework. these I/O classifications include periodic patterns and a variety of characteristic non-periodic patterns. We present an analysis of the I/O patterns observed on the /scratch filesystem on an academic HPC cluster. this type of analysis can be extended to other HPC usage data such as memory, CPU and interconnect usage. Ultimately this analysis will be used to improve HPC throughput and efficiency by, for example, automatically identifying anomalous HPC jobs. © 2018 Association for computing Machinery.

关键词： File organization

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A Fault Tolerance Manager with distributed Coordinated Checkpoints for Automatic Recovery 15

A Fault Tolerance Manager with Distributed Coordinated Check...

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15th international conference on High Performance computing & Simulation (HPCS)

作者： Villamayor, Jorge Rexachs, Dolores Luque, Emilio Univ Autonoma Barcelona CAOS Barcelona Spain

ISBN: (纸本)9781538632505

Components for High Performance computing are continuously increasing to achieve more performance and satisfy scientific application users demands. To reduce the Mean Time To Repair in these systems and increment high availability, Fault Tolerance (FT) solutions are required. the checkpoint/restart approach is a widely used mechanism in FT solutions. One of the most used technique to take checkpoints in parallel applications implemented using Message Passing Interface is the coordinated checkpoints. In this paper a Fault Tolerance Manager (FTM) for coordinated checkpoint files is presented, to provide users automatic recovery from failures when losing computing nodes. this proposal makes the configuration of FT simpler and transparent for users without knowledge of their application implementation. Furthermore, system administrators are not required to install libraries in their cluster to support FTM. It takes advantage of node local storage to save checkpoints, and it distributes copies of them along all the computation nodes, avoiding the bottleneck of a central stable storage. this approach is particularly useful in IaaS cloud environments, where users have to pay for centralized stable storage services. this work is based on RADIC, a well-known architecture to provide fault tolerance in a distributed, flexible, automatic and scalable way. Experimental results shows the benefits of the presented approach in a private cluster and a well-known cloud computing environment, Amazon EC2.

关键词： Fault Tolerance Checkpoint/Restart distributed Checkpointing Automatic Recovery

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An efficient parallel optimization for co-authorship network analysis 18

An efficient parallel optimization for co-authorship network...

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18th international conference on parallel and distributed computing, applications and technologies, PDCAT 2017

作者： Valencio, Carlos Roberto De Freitas, Jose Carlos Gratao De Souza, Rogeria Cristiane Neves, Leandro Alves Donega Zafalon, Geraldo Francisco Colombini, Angelo Cesar Tenorio, William Campus São José Do Rio Preto SP Brazil São Carlos SP Brazil

ISBN: (纸本)9781538631515

Co-authorship analysis in science and technology partnerships provides a vision of cooperation patterns between individuals and organizations and is still widely used to understand and assess scientific collaboration patterns. this analysis is conducted by means of bibliometry, which is the quantitative study of scientific production. However, with the evolution of database management systems, there was a significant increase in the volume of stored data, which could difficult the analysis. In this context, the developed work presents an efficient parallel optimization of bibliometric information, in order to allow this scientific analysis in a Big Data environment. Our results show that the time taken to calculate the transitivity value using the sequential approach grows 4.08 times faster than the parallel proposed approach when the number of nodes tends to infinity;the time taken to calculate the average distance and diameter values using the sequential approach grows 5.27 times faster than the parallel proposed approach when the number of nodes tends to infinity. Also, the results found present good values of speed up and efficiency. © 2017 IEEE.

关键词： Big data

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Deadline-aware MapReduce Scheduling with Selective Speculative Execution 8

Deadline-aware MapReduce Scheduling with Selective Speculati...

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8th international conference on computing, Communication and Networking technologies (ICCCNT)

作者： Kaur, Simranjit Saini, Poonam PEC Univ Technol Comp Sci & Engn Chandigarh India

ISBN: (纸本)9781509030385

MapReduce is the renowned distributed and parallel programming model with an extensive support for large scale computing. However, the performance of MapReduce is currently limited by the default scheduler as it is not suitable for heterogeneous environments and it does not consider certain user constraints such as deadlines. the paper proposes a deadline aware scheduling algorithm that selectively uses speculative execution when the job approaches its deadline in order to expedite job's execution. the algorithm is implemented on the heterogeneous Hadoop cluster and the evaluation shows significant improvement in the performance. the performance improvement was observed as the number of jobs that miss the deadlines as well as overall execution time for different workloads was minimized

关键词： Internet of things (IOT) Speculative Execution Data Locality distributed Algorithms

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Scalable Genomic Assembly through parallel de Bruijn Graph Construction for Multiple K-mers 17

Scalable Genomic Assembly through Parallel <i>de Bruijn</i> ...

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8th ACM international conference on Bioinformatics, Computational Biology,and Health Informatics (ACM-BCB)

作者： Mahadik, Kanak Wright, Christopher Kulkarni, Milind Bagchi, Saurabh Chaterji, Somali Purdue Univ W Lafayette IN 47907 USA

ISBN: (纸本)9781450347228

Extraordinary progress in genome sequencing technologies has led to a tremendous increase in the number of sequenced genomes. However, biologists have run into a computational bottleneck to assemble large and complex genomes quickly, due to the lack of scalable and parallel de novo assembly algorithms. Among several approaches to assembly, the iterative de Bruijn graph (DBG) assemblers, such as IDBA-UD, generate high-quality assemblies by sequentially iterating from small to large k-values used in graph construction. However, this approach is time intensive because the creation of the graphs for increasing k-values proceeds sequentially. For example, with just eight k-values, graph construction takes 96% of the total time to assemble a metagenomic dataset with 33 million paired-end reads. In this paper, we propose ScalaDBG, which transforms the sequential process of DBG construction for a range of k values, to one where each graph is built independently and in parallel. We develop a novel mechanism whereby the graph for the higher k value can be "patched" with contigs generated from the graph with the lower k value. We show that for a variety of datasets our technique can assemble complex genomes much faster than IDBA-UD (6.7X faster for the most complex genome in our dataset) while maintaining the same accuracy for the assembled genome. Moreover, ScalaDBG's multi-level parallelism allows it to simultaneously leverage the power of mighty server machines by using all their cores and of compute clusters by scaling out.

关键词： de novo genome assembly distributed computational genomics tools iterative de Bruijn graph construction parallelization

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8th international conference on Intelligent technologies for Interactive Entertainment, INTETAIN 2016

8th International Conference on Intelligent Technologies for...

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8th international conference on Intelligent technologies for Interactive Entertainment, INTETAIN 2016

ISBN: (纸本)9783319496153

the proceedings contain 30 papers. the special focus in this conference is on Serious Games, Interaction technologies, Persuasion, Motivation, Exertion Games, Game Studies, Novel applications and Tools. the topics include: Designing collaborative games for children education on sustainable development;a serious game for learning social networking literacy by flaming experiences;exploring user-defined gestures and voice commands to control an unmanned aerial vehicle;monitoring interactions;analyzing fear using a single-sensor EEG device;interactive advertisements in an IoT era;the influence of social exertion gaming on game experience and social presence;distributed embodied team play, a distributed interactive pong playground;a throw training system utilizing visual and sound effects;deep learning for classifying battlefield 4 players;the oculus rift film experience;a case study on understanding films in a head mounted display;world without walls immersive mixed reality;interaction design tools for autism;from playable to playful;the humorous city;play in the algorithmic city;visual abstraction for games on large public displays and a conversational agent that reacts to vocal signals and supporting group reflection in a virtual role-playing environment.

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Topology splitting & matching for multi-cloud deployments 7

Topology splitting & matching for multi-cloud deployments

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7th international conference on Cloud computing and Services Science, CLOSER 2017

作者： Saatkamp, Karoline Breitenbücher, Uwe Kopp, Oliver Leymann, Frank Institute of Architecture of Application Systems University of Stuttgart Stuttgart Germany Institute for Parallel and Distributed Systems University of Stuttgart Stuttgart Germany

ISBN: (纸本)9789897582431

For automating the deployment of applications in cloud environments, a variety of deployment automation technologies have been developed in recent years. these technologies enable specifying the desired deployment in the form of deployment models, which can be automatically executed. However, changing internal or external conditions often lead to strategical decisions that must be reflected in all deployment models of a company's IT. Unfortunately, while creating such deployment models is difficult, adapting them is even harder as typically a variety of technologies must be replaced. In this paper, we present the Split and Match Method that enables splitting a deployment model following a manually specified distribution on the business layer. the method also enables automatically deploying the resulting model without the need for a manual intervention and, thus, significantly eases reflecting strategical decisions on the technical deployment layer. We present a formalization and algorithms to automate the steps of the method. Moreover, we validate the practical feasibility of the presented concepts by a prototype based on the TOSCA standard and the OpenTOSCA ecosystem. ©2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Cloud computing

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