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检索条件"任意字段=8th International Conference on Parallel and Distributed Computing, Applications and Technologies"

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Novel Approaches for Distributing Workload on Commodity Computer Systems 15th

Novel Approaches for Distributing Workload on Commodity Comp...

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15th international conference on Computational Science and Its applications (ICCSA)

作者： Gankevich, Ivan Tipikin, Yuri Degtyarev, Alexander Korkhov, Vladimir St Petersburg State Univ St Petersburg 198504 Russia

ISBN: (纸本)9783319214108;9783319214092

Efficient management of a distributed system is a common problem for university's and commercial computer centres, and handling node failures is a major aspect of it. Failures which are rare in a small commodity cluster, at large scale become common, and there should be a way to overcome them without restarting all parallel processes of an application. the efficiency of existing methods can be improved by forming a hierarchy of distributed processes. that way only lower levels of the hierarchy need to be restarted in case of a leaf node failure, and only root node needs special treatment. Process hierarchy changes in real time and the workload is dynamically rebalanced across online nodes. this approach makes it possible to implement efficient partial restart of a parallel application, and transactional behaviour for computer centre service tasks.

关键词： Long-lived transactions distributed pipeline Node discovery Software engineering distributed computing Cluster computing

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8th international conference on Internet and distributed computing Systems, IDCS 2015

8th International Conference on Internet and Distributed Com...

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8th international conference on Internet and distributed computing Systems, IDCS 2015

ISBN: (纸本)9783319232362

the proceedings contain 26 papers. the special focus in this conference is on Cloud computing and Internet of things. the topics include: Towards modelling-based self-adaptive resource allocation in multi-tiers cloud systems;fuzzy logic based energy aware VM consolidation;autonomic and cognitive architectures for the internet of things;sensor web enablement applied to an earthquake early warning system;towards motion characterization and assessment within a wireless body area network;data driven transmission power control for wireless sensor networks;mining regularities in body sensor network data;task execution in distributed smart systems;inferring appliance load profiles from measurements;intra smart grid management frameworks for control and energy saving in buildings;urban crowd steering;towards a self-adaptive middleware for building reliable publish/subscribe systems;review of replication techniques for distributed systems;connectivity recovery in epidemic membership protocols;epidemic fault tolerance for extreme-scale parallel computing;a GPU-based statistical framework for moving object segmentation;containment of fast scanning computer network worms;fragmented-iterated bloom filters for routing in distributed event-based sensor networks;fast adaptive real-time classification for data streams with concept drift;omentum - a peer-to-peer approach for internet-scale virtual microscopy;using social networks data for behavior and sentiment analysis and sentimental preference extraction from online reviews for recommendation.

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Epidemic Fault Tolerance for Extreme-Scale parallel computing 8th

Epidemic Fault Tolerance for Extreme-Scale Parallel Computin...

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8th Annual international conference on Internet and distributed computing Systems (IDCS)

作者： Katti, Amogh Di Fatta, Giuseppe Univ Reading Sch Syst Engn Reading RG6 6AY Berks England

ISBN: (纸本)9783319232379;9783319232362

Process failure rate in the next generation of high performance computing systems is expected to be very high. MPI Forum is working on providing semantics and support for fault tolerance. Run-through Stabilization, User-Level Failure Mitigation and Process Recovery proposals are the resulting endeavors. Run-through Stabilization/User Level Failure Mitigation proposals require a fault tolerant failure detection and consensus algorithm to inform the application of failures so that it can employ Algorithm Based Fault Tolerance for quicker recovery and continued execution. this paper discusses the proposals in short, the failure detectors available in the literature and their unsuitability for realizing fault tolerance in MPI. It then outlines an inherently fault-tolerant and scalable Epidemic (or Gossip-based) approach for failure detection and consensus. Some simulations and an initial experimental analysis are presented, which indicate that this is a promising research direction.

关键词： Fault tolerance Message Passing Interface (MPI) Failure detection Epidemic protocols Gossip-based protocols

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distributed Algorithm of Data Allocation in the Fragmented Programming System LuNA 13th

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13th international conference on parallel computing technologies (PaCT)

作者： Malyshkin, Victor E. Perepelkin, Vladislav A. Schukin, Georgy A. Russian Acad Sci Siberian Branch Inst Computat Math & Math Geophys Novosibirsk Russia Novosibirsk State Natl Res Univ Novosibirsk Russia Novosibirsk State Tech Univ Novosibirsk Russia

ISBN: (纸本)9783319219097;9783319219080

the paper presents distributed algorithm with local communications Rope-of-Beads for static and dynamic data allocation in the LuNA fragmented programming system. LuNA is intended for implementation of large-scale numerical models on multicomputers with large number of processors and various network topologies. the algorithm takes into account the structure of a numerical model, provides static and dynamic load balancing and can be used in various network topologies.

关键词： Dynamic data allocation distributed algorithms with local interactions Fragmented programming technology Fragmented programming system LuNA

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Task Execution in distributed Smart Systems 8th

Task Execution in Distributed Smart Systems

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8th Annual international conference on Internet and distributed computing Systems (IDCS)

作者： Jaenen, Uwe Grenz, Carsten Edenhofer, Sarah Stein, Anthony Brehm, Juergen Haehner, Joerg Univ Augsburg Inst Informat Lehrstuhl Organ Comp D-86135 Augsburg Germany Leibniz Univ Hannover Inst Syst Engn Fachgebiet Syst & Rechnerarchitektur D-30167 Hannover Germany

ISBN: (纸本)9783319232379;9783319232362

this paper presents a holistic approach to execute tasks in distributed smart systems. this is shown by the example of monitoring tasks in smart camera networks. the proposed approach is general and thus not limited to a specific scenario. A job-resource model is introduced to describe the smart system and the tasks, with as much order as necessary and as few rules as possible. Based on that model, a local algorithm is presented, which is developed to achieve optimization transparency. this means that the optimization on system-wide criteria will not be visible to the participants. To a task, the system-wide optimization is a virtual local single-step optimization. the algorithm is based on proactive quotation broadcasting to the local neighborhood. Additionally, it allows the parallel execution of tasks on resources and includes the optimization of multiple-task-to-resource assignments.

关键词： Job-resource-model Optimization transparency Virtual local single-step optimization Proactive quotation-based optimization Multiple-task-to-resource assignment

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A parallel Version of Differential Evolution Based on Resilient distributed Datasets Model 1

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10th international conference on Bio-Inspired computing - theories and applications (BIC-TA)

作者： Deng, Changshou Tan, Xujie Dong, Xiaogang Tan, Yucheng JiuJiang Univ Sch Informat Sci & Technol Jiujiang 332005 Jiangxi Peoples R China

ISBN: (数字)9783662490143

ISBN: (纸本)9783662490143;9783662490136

MapReduce is a popular cloud computing platform which has been widely applied in large-scale data-intensive fields. However, when dealing with computation extensive tasks, particularly, iterative computation, frequent loading Map and Reduce processes will lead to overhead. Resilient distributed datasets model which has been implemented in Spark, is an in-memory clustering computing which can overcome this shortcoming efficiently. In this paper, we attempt to use resilient distributed datasets model to parallelize Differential Evolution algorithm. A wide range of benchmark problems have been adopted to conduct numerical experiment, and the speedup of PDE due to use of resilient distributed datasets model is demonstrated. the results show us that resilient distributed datasets model is a potential way to parallelize evolutionary algorithm.

关键词： parallel differential evolution Spark Resilient distributed datasets Transformation operation Action operation

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User-Driven View Management for Wearable Augmented Reality Systems in the Cultural Heritage Domain 10

User-Driven View Management for Wearable Augmented Reality S...

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10th international conference on P2P, parallel, Grid, Cloud and Internet computing 3PGCIC

作者： Caggianese, Giuseppe Gallo, Luigi Neroni, Pietro Natl Res Council Italy ICAR CNR Inst High Performance Comp & Networking Naples Italy

ISBN: (纸本)9781467394734

the recent availability of low cost wearable augmented reality (WAR) technologies, is leveraging the design of applications in many different domains in order to support users in their daily activities. For most of these domains, the large amount of information displayable on top of the reality, directly in the user's field of view, represents an important challenge for designers. In this paper we present a view management technique for placing touristic/cultural information, in the form of points of interest (POIs), in an AR system that works in the absence of a priori knowledge of the real environment. the user-driven view management technique, designed as a remote service, improves representation and displacement of the digital information each time the user manifests an interest in a particular area of the real space. the proposed approach includes a layout algorithm, which exploits the user's local position and her/his point of view direction, to correctly set the POI height in the user's view avoiding overlapping and cluttering, together with an adaptive rendering method, using information about the brightness of the area, that computes the visual appearance parameters of each virtual POI in order to improve its readability over the background.

关键词： Wearable augmented reality distributed Systems View management Systems Ego-Vision

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Proceedings of WORKS 2015: 10th Workshop on Workflows in Support of Large-Scale Science - Held in conjunction with SC 2015: the international conference for High Performance computing, Networking, Storage and Analysis

Proceedings of WORKS 2015: 10th Workshop on Workflows in Sup...

引用

10th Workshop on Workflows in Support of Large-Scale Science, WORKS 2015

ISBN: (纸本)9781450339896

the proceedings contain 8 papers. the topics discussed include: a workflow runtime environment for Manycore parallel architectures;orchestrating workflows over heterogeneous networking infrastructures;towards efficient scheduling of data intensive high energy physics workflows;contemporary challenges for data-intensive scientific workflow management systems;co-sites: the autonomous distributed dataflows in collaborative scientific discovery;inter-language parallel scripting for distributed-memory scientific computing;dynamically reconfigurable workflows for time-critical applications;enabling workflow repeatability with virtualization support;and workflow provenance: an analysis of long term storage costs.

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A new metric on parallel coordinates and its application for high-dimensional data visualization 8

A new metric on parallel coordinates and its application for...

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8th international conference on Advanced technologies for Communications, ATC 2015

作者： Van Long, Tran Faculty of Basic Sciences University of Transport and Communications Hanoi Viet Nam

ISBN: (纸本)9781467383745

High-dimensional data visualization is a changing task with many applications in a various fields of sciences. parallel coordinates is one of the most widely used information visualization technique for multivariate data analysis and high-dimensional geometry. the dimension ordering is an original problem for exploring structures in a high-dimensional data space. In this paper, we propose a new metric for measuring distance between two line-segment on the parallel coordinates. the metric is suitable and effective on the parallel coordinates. We use our metric distance for finding an optimal dimension ordering on the parallel coordinates. Finally, we demonstrate our method can be applied to visualize clusters in high-dimensional data on the parallel coordinates. © 2015 IEEE.

关键词： Data visualization

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Resilience of Criminal Networks 8

Resilience of Criminal Networks

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8th international conference on Social computing, Behavioral-Cultural Modeling, and Prediction, SBP 2015

作者： Ozgul, Fatih Erdem, Zeki National Police Academy Golbasi Ankara06100 Turkey TUBITAK BILGEM Information Technologies Institute Gebze Kocaeli41470 Turkey

ISBN: (纸本)9783319162676

In this paper we presented resilience measure for criminal networks which is tested on two real criminal networks. We investigated resilience results in parallel with their activities, their recruitment policy, and growth of network, their survival strategy and secrecy after they are prosecuted. © Springer international Publishing Switzerland 2015.

关键词： Crime

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