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检索条件"任意字段=9th International Conference on Parallel and Distributed Computing, Applications and Technologies"

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Access-efficient QoS-aware data replication to maximize user satisfaction in cloud computing environments 15

Access-efficient QoS-aware data replication to maximize user...

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15th international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Shorfuzzaman, Mohammad Taif Univ Dept Comp Sci At Taif Saudi Arabia

ISBN: (纸本)9781479983346

Cloud computing infrastructures capable of providing scalable storage and computing resources can efficiently be used for big data storage and processing. there are growing trends in developing data-intensive (big data) applications in this computing environment that need to access massive datasets. Hence, effective data management such as data availability and efficient accesses has become critical requirements in these applications. this can be achieved by using data replication, which offers reduced data access latency, higher data availability and improved system load balancing. Moreover, different applications may have different quality-of-service (QoS) requirements. To continuously support the QoS requirement of an application, we propose a highly distributed QoS-aware replication technique that computes the optimal data center locations for the replicas so that the overall replication cost is minimized. Further, the replication strategy aims at maximizing QoS satisfaction to improve data availability and reduce access latency. the problem is formulated using dynamic programming. Finally, simulation experiments are performed using widely observed data access patterns to demonstrate the effectiveness of the proposed technique.

关键词： Cloud computing data replication availability access latency dynamic programming QoS requirement distributed algorithm

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Fault-Tolerant Routing based on Improved Safety Levels in Pancake Graphs 15

Fault-Tolerant Routing based on Improved Safety Levels in Pa...

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15th international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Nishiyama, Yo Hirai, Yuki Kaneko, Keiichi Tokyo Univ Agr & Technol Grad Sch Engn Dept Comp & Informat Sci Koganei Tokyo 1848588 Japan

ISBN: (纸本)9781479983346

In a parallel processing system, a pancake graph is one of the superior topologies for interconnection network because of the small diameter and the high degree. In previous research, fault-tolerant routing using restricted global information called safety levels in a pancake graph was proposed. But there are some rooms for improvement. therefore, we propose a fault-tolerant routing algorithm based on improved safety levels to attain higher reachability. In addition, we estimated the proposed method in time and space complexities, and carried out a computer experiment to verify its effectiveness.

关键词： multicomputer interconnection network parallel proccessing

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Distributive Interoperable Executive Library (DIEL) for Systems of Multiphysics Simulation 15

Distributive Interoperable Executive Library (DIEL) for Syst...

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15th international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Wong, Kwai Brown, Logan Coan, Jason White, David Univ Tennessee Joint Inst Computat Sci Knoxville TN 37996 USA Maryville Coll Dept Comp Sci Maryville TN 37996 USA

ISBN: (纸本)9781479983346

As HPC capability and software adaptability continues to expand, the interest to perform complex system-wide simulations involving multiple interacting components grows. In this paper, we present a novel integrative software platform - the Distributive Interoperable Executive Library (DIEL) - to facilitate the collaboration, exploration, and execution of multiphysics modeling projects suited for a diversified research community on emergent large-scale parallel computing platforms. It does so by providing a managing executive, a layer of numerical libraries, a number of commonly used physics modules, and two set of native communication protocols. DIEL allows users to plug in their individual modules, prescribe the interactions between those modules, and schedule communications between them. the DIEL framework is designed to be applicable for preliminary concept design, sensitivity prototyping, and productive simulation of a complex system.

关键词： Workflow Framework parallel computing Multiphysics Simulation

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A Platform-independent Approach for parallel Reasoning with OWL EL Ontologies using Graph Representation

A Platform-independent Approach for Parallel Reasoning with ...

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international conference on Tools with Artificial Intelligence

作者： Zhangquan Zhou Guilin Qi Zimian Wu Jun Shi The School of Computer Science and Engineering Southeast University China

ISBN: (纸本)9781509001644

OWL EL is a tractable fragment of OWL 2. Classification, which is the task of computing a subsumption hierarchy between concepts, plays an important role in many applications of OWL EL. the current classification methods are proposed based on the specific parallel computation platforms, thus can hardly adapt to other platforms and satisfy different needs of users or developers. In this paper, we propose a platform-independent approach to perform classification in OWL EL. We first give a novel and well defined graph formalism gεL for representing EL ontologies. Based on this formalism, we describe the classification using a platform-independent computation model, and discuss the lower bound of run-time. We further give a refined afgorithm based on the proposed model, and show the correctness of the algorithm. We implement a prototype system, which can easily switch between multi-core and a distributed cluster. Finally, we conduct experiments on several real world ontologies. the experimental results show that our system outperforms two state-of-the-art EL reasoning systems, and has a linear scalability on the extensions of GO ontologies.

关键词： OWL 2 EL description logics parallel classification graph platform-independence

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MIPr - a Framework for distributed Image Processing Using Hadoop

MIPr - a Framework for Distributed Image Processing Using Ha...

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international conference on Application of Information and Communication technologies

作者： Andrey Sozykin Timofei Epanchintsev Institute of Mathematics and Mechanics UrB RAS Yekaterinburg Russia

ISBN: (纸本)9781467368575

Nowadays, the sizes of image collections are increasing dramatically and reaching petabytes of data. Such large volumes cannot be analyzed on personal computer within a reasonable time. therefore, processing of modern image collections requires distributed computing. this paper presents a MapReduce Image Processing framework (MIPr), which provides the ability to use distributed computing for image processing. MIPr is based on MapReduce and its open source implementation Apache Hadoop. MIPr provides various forms of image representations in Hadoop internal format and the input/output tools for integration of image processing into Hadoop data workflow. the image formats in the MIPr framework are based on the popular image processing libraries. Furthermore, the MIPr includes the high-level Image processing API for developers who are not familiar with Hadoop. this API allows to create sequential functions that process one image or a group of related images. the MIPr framework applies such functions to the large amount of images in parallel. In addition, MIPr includes MapReduce implementations of popular image processing algorithms, which can be used for distributed image processing without any software development. the MIPr framework significantly simplifies image processing in Hadoop distributed environment.

关键词： image processing mapreduce hadoop distributed computing

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Bandwidth Modeling in Large distributed Systems for Big Data applications 15

Bandwidth Modeling in Large Distributed Systems for Big Data...

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15th international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Javadi, Bahman Zhang, Boyu Taufer, Michela Univ Western Sydney Sch Comp Engn & Math Penrith NSW 1797 Australia Univ Delaware Dept Comp & Informat Sci Newark DE 19716 USA

ISBN: (纸本)9781479983346

the emergence of Big Data applications provides new challenges in data management such as processing and movement of masses of data. Volunteer computing has proven itself as a distributed paradigm that can fully support Big Data generation. this paradigm uses a large number of heterogeneous and unreliable Internet-connected hosts to provide Peta-scale computing power for scientific projects. With the increase in data size and number of devices that can potentially join a volunteer computing project, the host bandwidth can become a main hindrance to the analysis of the data generated by these projects, especially if the analysis is a concurrent approach based on either in-situ or in-transit processing. In this paper, we propose a bandwidth model for volunteer computing projects based on the real trace data taken from the Docking@Home project with more than 280,000 hosts over a 5-year period. We validate the proposed statistical model using model-based and simulation-based techniques. Our modeling provides us with valuable insights on the concurrent integration of data generation with in-situ and in-transit analysis in the volunteer computing paradigm.

关键词： Volunteer computing Big Data Internet Bandwidth Statistical Modeling

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Towards high-level parallel patterns in OpenCL 15

Towards high-level parallel patterns in OpenCL

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15th international conference on parallel and distributed computing, applications and technologies (PDCAT)

作者： Dokulil, Jiri Benkner, Siegfried Univ Vienna Res Grp Sci Comp A-1010 Vienna Austria

ISBN: (纸本)9781479983346

parallel pattern libraries (e.g., Intel TBB) are popular and useful tools for developing applications in SMP environments at a higher level of abstraction. Such libraries execute user-provided code efficiently on shared memory parallel architectures in accordance with well-defined execution patterns like parallel for-loops or pipelines. For heterogeneous architectures comprised of CPUs and accelerators, OpenCL has gained a lot of momentum. Since accelerated architectures do not provide a shared memory, it is not possible to directly use the approach taken in pattern libraries for SMP systems for OpenCL as well. In this paper, we are exploring issues and opportunities encountered by attempts to provide such patterns in the context of OpenCL. Based on a set of experiments with a scientific application on diverse OpenCL devices, we point out major pitfalls and insights, and outline directions for further efforts in developing pattern libraries for OpenCL.

关键词： OpenCL parallel patterns parallel mode shared memory Libraries switched mode power supplies parallel Lines parallel architectures central processing units level of abstraction ARCHITECTURE pipeline

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Programming support for the flexible coupling of distributed software components for scientific simulations 9

Programming support for the flexible coupling of distributed...

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9th international conference on Software Engineering and applications, ICSOFT-EA 2014

作者： Hofmann, Michael Ospald, Felix Schmidt, Hansjörg Springer, Rolf Department of Computer Science Chemnitz University of Technology Chemnitz Germany Department of Mathematics Chemnitz University of Technology Chemnitz Germany

ISBN: (纸本)9789897580369

In this article, we investigate the flexible coupling of distributed software components that are required for an optimization process of lightweight structures built from hybrid materials. the software components include computationally intensive applications for the simulation of hybrid structures, control applications for implementing the optimization process as well as data-oriented applications for the generation, management, and visualization of simulation data. the participating software components and application programs are described to demonstrate their strongly varying functionalities as well as the diversity of data exchange methods that need to be considered for the data coupling. Furthermore, we present the design and usage of a software library with transparent data coupling mechanisms for software components that are flexibly distributed among different computing resources.

关键词： Electronic data interchange

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Large-Scale Scientific computing: 9th international conference, LSSC 2013, Sozopol, Bulgaria, June 3-7, 2013. Revised Selected Papers

Large-Scale Scientific Computing: 9th International Conferen...

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2014年

作者： Ivan Lirkov Svetozar D Margenov Jerzy Waśniewski

ISBN: (纸本)9783662438817

this book constitutes the thoroughly refereed post-conference proceedings of the 9th international conference on Large-Scale Scientific Computations, LSSC 2013, held in Sozopol, Bulgaria, in June 2013. the 74 revised full papers presented together with 5 plenary and invited papers were carefully reviewed and selected from numerous submissions. the papers are organized in topical sections on numerical modeling of fluids and structures; control and uncertain systems; Monte Carlo methods: theory, applications and distributed computing; theoretical and algorithmic advances in transport problems; applications of metaheuristics to large-scale problems; modeling and numerical simulation of processes in highly heterogeneous media; large-scale models: numerical methods, parallel computations and applications; numerical solvers on many-core systems; cloud and grid computing for resource-intensive scientific applications.

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Simulation-Based Study of distributed Denial of Service Attacks Prevention in the Cloud

Simulation-Based Study of Distributed Denial of Service Atta...

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international conference on Next Generation Mobile applications, Services and technologies

作者： Wael Alosaimi Mazin Alshamrani Khalid Al-Begain Faculty of Computing Engineering and Science University of South Wales Pontypridd Wales United Kingdom

ISBN: (纸本)9781479986613

distributed Denial of Service (DDoS) attacks can affect the availability of the networks. In the age of cloud computing, these attacks are being more harmful in terms of their common influences and their new effects that harm the cloud sustainability by exploiting its scalability and payment model (pay-as-you-use). therefore, a new form of DDoS attacks is introduced in the cloud context as an economical version of such attack. this new form is known as Economical Denial of Sustainability (EDoS) attack. To counteract such attacks, traditional network security means are used. Specifically, the firewalls that are working as filters for the incoming packets to the targeted network according to designated rules by the administrators can mitigate the impacts of DDoS and EDoS attacks. In this paper, a new solution called Enhanced DDoS- Mitigation System (Enhanced DDoS-MS) is proposed to encounter these attacks by utilizing the firewall capabilities in controlling a verification process to protect the targeted system. these capabilities are evaluated in a simulation environment. the results proved that the firewall mitigates the DDoS impacts successfully by improving the provided services to the users in terms of the response time and server load under attack. the study also suggests following implementation for the proposed framework with an active testbed.

关键词： cloud computing distributed Denial of Service attacks DDoS Economical Denial of Sustainability EDoS

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