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检索条件"任意字段=10th International Conference on Parallel and Distributed Computing, Applications and Technologies"

共 1764 条记录，以下是191-200 订阅

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A Spark-based distributed Whale Optimization Algorithm for Feature Selection 10

A Spark-based Distributed Whale Optimization Algorithm for F...

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10th IEEE international conference on Intelligent Data Acquisition and Advanced computing Systems - Technology and applications (IDAACS)

作者： Chen, Hongwei Hu, Zhou Han, Lin Hou, Qiao Ye, Zhiwei Yuan, Jiansen Zeng, Jun Hubei Univ Technol Sch Comp Sci Wuhan 430068 Peoples R China Wuhan Fiberhome Tech Serv Co Ltd Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9781728140698

With the rapid development of the Internet and big data technologies, high-dimensional data generated in various fields has increased dramatically. Feature selection is an effective way to solve data processing problems caused by high dimensionality and high computational complexity. the traditional feature selection method shows the problem of insufficient classification accuracy and low processing efficiency when dealing with high-dimensional and large-scale data. the traditional feature selection method shows low classification accuracy and low processing efficiency when dealing with high-dimensional and large-scale data. this paper proposed a feature selection method based on Whale Optimization Algorithm to learn mining feature selection rules, then improve the accuracy of feature selection. However, when the data size is very large, the efficiency of single node execution is low. therefore, this paper combined the Whale Optimization Algorithm with the parallel computing model of the Spark platform, and proposed a feature selection method based on the Spark platform for distributed Whale Optimization Algorithm. the results showed that the excellent result search ability of the Whale Optimization Algorithm combined with the distributed and efficient calculation speed can realize the efficient solution of the feature selection optimization model.

关键词： feature selection Whale Optimization Algorithm Spark platform parallel computing

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Security for distributed Smart Meter: Blockchain-based Approach, Ensuring Privacy by Functional Encryption 10

Security for Distributed Smart Meter: Blockchain-based Appro...

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10th international conference on Cloud computing and Services Science (CLOSER)

作者： Yurchenko, Artem Moni, Mahbuba Peters, Daniel Nordholz, Jan thiel, Florian Phys Tech Bundesanstalt Berlin Germany Phys Tech Bundesanstalt Braunschweig Germany Tech Univ Berlin Inst Software Engn & Theoret Comp Sci Berlin Germany

ISBN: (纸本)9789897584244

Today the trend towards a completely distributed measuring device is progressing and increasing numbers of measuring instruments have already a cloud connection. this development requires new solutions to cover the requirements laid down by legal metrology. these new challenges could be tackled by designing innovative solutions which extend and merge novel technologies. the aim of this publication is to use blockchain technology and functional encryption to develop a model of a secure smart metering system, demonstrating the capabilities and limitations of these technologies in a practical scenario in the framework of legal metrology.

关键词： Legal Metrology Smart Meter Functional Encryption distributed Ledger Technology Blockchain

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A Survey: Genetic Algorithms and the Fast Evolving World of parallel computing

A Survey: Genetic Algorithms and the Fast Evolving World of ...

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10th IEEE international conference on High Performance computing and Communications

作者： Munawar, Asim Wahib, Mohamed Munetomo, Masaharu Akama, Kiyoshi Hokkaido Univ Grad Sch Info Sci & Tech Sapporo Hokkaido Japan Hokkaido Univ Informat Initiat Ctr Sapporo Hokkaido Japan

ISBN: (纸本)9780769533520

this paper gives a survey about the impact of modern parallel/distributed computing paradigms over parallel Genetic Algorithms (PGAs). Helping the GA community to feel more comfortable with the evolving parallel paradigms, and marking some areas of research for the High-Performance computing (HPC) community is the major inspiration behind this survey. In the modern parallel computing paradigms we have considered only two major areas that have evolved very quickly during the past few years, namely, multicore computing and Grid computing. We discuss the challenges involved, and give potential solutions for these challenges. We also propose a hierarchical PGA suitable for Grid environment with multicore computational resources.

关键词： Surveys

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Cross Stratum Optimization (CSO) enabled PCE architecture

Cross Stratum Optimization (CSO) enabled PCE architecture

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2012 10th IEEE international Symposium on parallel and distributed Processing with applications, ISPA 2012

作者： Dhody, Dhruv Lee, Young Yang, Hui India R and D Center Huawei Technologies Bangalore India USA Innovation Center Huawei Technologies Plano TX United States Beijing China

ISBN: (纸本)9780769547015

applications like cloud computing, video gaming, HD Video streaming, Live Concerts, Remote Medical Surgery and other applications are offered by Data Centers. these data centers are geographically distributed and connected via a network. Many decisions are made in the Application space without any concern of the underlying network. Cross stratum application/network optimization focuses on the challenges and opportunities presented by data center based applications and carriers networks together [1]. Constraint-based path computation is a fundamental building block for traffic engineering systems such as Multiprotocol Label Switching (MPLS) and Generalized Multiprotocol Label Switching (GMPLS) networks. [2] explains the architecture for a Path Computation Element (PCE)-based model to address this problem space. this paper presents Cross Stratum Optimization (CSO) enabled Path Computation Element (PCE) architecture as a building block to achieve Cross Stratum application/network optimization. © 2012 IEEE.

关键词： Network architecture

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Sizing of DGs for minimization of power losses in distribution system using Particle Swarm Optimization 10

Sizing of DGs for minimization of power losses in distributi...

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10th IEEE international conference on Electronics, computing and Communication technologies (IEEE CONECCT)

作者： Kumar, K. Vamshi Merugu, Bhanu Devalapalli, Sai Simha Mekala, Madhushalini Lakavath, Jeswitha Shivani VNR Vignana Jyothi Inst Engn & Technol Elect & Elect Engn Hyderabad Telangana India

ISBN: (纸本)9798350385939;9798350385922

With the increasing penetration of renewable sources, distributed Energy Resources (DER) are emerging as a crucial components of modern power systems. In a distribution system integrated with distributed Generation Systems (DG's), efficient power management is crucial to minimize energy losses and maximize effective utilization of electrical energy. the power losses in distribution system have been on higher side due to low X/R ratio and high AT&C losses. this paper presents the minimization of power losses in a radial distribution system integrated with DG's. the load flow analysis is carried out using Forward-Backward Sweep (FBS) method. the optimal power levels of DG's for power loss reduction are obtained by using Particle Swarm Optimization (PSO) algorithm. the proposed method is efficient on a standard IEEE 15 bus radial distribution system.

关键词： distributed Generation (DG) Forward Backward sweep Particle Swarm Optimization Fitness value Power Loss analysis Matlab

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Revisiting Snapshot Algorithms by Refinement-based Techniques

Revisiting Snapshot Algorithms by Refinement-based Technique...

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13th international conference on parallel and distributed computing, applications, and technologies (PDCAT)

作者： Andriamiarina, Manamiary Bruno Mery, Dominique Singh, Neeraj Kumar Univ Lorraine LORIA Vandoeuvre Les Nancy France Univ York York N Yorkshire England

ISBN: (纸本)9780769548791

the snapshot problem addresses a collection of important algorithmic issues related to the distributed computations, which are used for debugging or recovering the distributed programs. Among the existing solutions, Chandy and Lamport propose a simple distributed algorithm. In this paper, we explore the correct-by-construction process to formalize the snapshot algorithms in distributed system. the formalization process is based on a modeling language Event B, which supports a refinement-based incremental development using RODIN platform. these refinement-based techniques help to derive a correct distributed algorithm. Moreover, we demonstrate how this class of other distributed algorithms can be revisited. A consequence is to provide a fully mechanized proof of the distributed algorithms.

关键词： distributed algorithms correctness by construction snapshot verification

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FiM: Performance Prediction for parallel Computation in Iterative Data Processing applications 10

FiM: Performance Prediction for Parallel Computation in Iter...

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10th IEEE international conference on Cloud computing (CLOUD)

作者： Bhimani, Janki Mi, Ningfang Leeser, Miriam Yang, Zhengyu Northeastern Univ Dept Elect & Comp Engn 360 Huntington Ave Boston MA 02115 USA

ISBN: (纸本)9781538619933

Predicting performance of an application running on high performance computing (HPC) platforms in a cloud environment is increasingly becoming important because of its influence on development time and resource management. However, predicting the performance with respect to parallel processes is complex for iterative, multi-stage applications. this research proposes a performance approximation approach FiM to model the computing performance of iterative, multi-stage applications running on a master-compute framework. FiM consists of two key components that are coupled with each other: 1) Stochastic Markov Model to capture non-deterministic runtime that often depends on parallel resources, e.g., number of processes. 2) Machine Learning Model that extrapolates the parameters for calibrating our Markov model when we have changes in application parameters such as dataset. Our new modeling approach considers different design choices along multiple dimensions, namely (i) process level parallelism, (ii) distribution of cores on multi-core processors in cloud computing, (iii) application related parameters, and (iv) characteristics of datasets. the major contribution of our prediction approach is that FiM is able to provide an accurate prediction of parallel computation time for the datasets which have much larger size than that of the training datasets. Such calculation prediction provides data analysts a useful insight of optimal configuration of parallel resources (e.g., number of processes and number of cores) and also helps system designers to investigate the impact of changes in application parameters on system performance.

关键词： Performance Modeling Markov Model Regression distributed Systems Cloud computing Big Data Infrastructure

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A bi-criteria algorithm for scheduling parallel task graphs on clusters 10

A bi-criteria algorithm for scheduling parallel task graphs ...

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10th IEEE/ACM international Symposium on Cluster, Cloud, and Grid computing, CCGrid 2010

作者： Desprez, Frédéric Suter, Frédéric INRIA LIP ENS Lyon Lyon France IN2P3 Computing Center CNRS/IN2P3 Lyon-Villeurbanne France

ISBN: (纸本)9781424469871

applications structured as parallel task graphs exhibit both data and task parallelism, and arise in many domains. Scheduling these applications on parallel platforms has been a long-standing challenge. In the case of a single homogeneous cluster, most of the existing algorithms focus on the reduction of the application completion time (makespan). But in presence of resource managers such as batch schedulers and due to accentuated pressure on energy concerns, the produced schedules also have to be efficient in terms of resource usage. In this paper we propose a novel bi-criteria algorithm, called biCPA, able to optimize these two performance metrics either simultaneously or separately. Using simulation over a wide range of experimental scenarios, we find that biCPA leads to better results than previously published algorithms. © 2010 IEEE.

关键词： Scheduling algorithms

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parallel and distributed Visualization the State of the Art

Parallel and Distributed Visualization The State of the Art

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5th international conference on Computer Graphics, Imaging and Visualization (CGIV)

作者： Meligy, Ali Middle E Univ Grad Studies Fac Informat Technol Amman Jordan

ISBN: (纸本)9780769533599

Visualization is one of the most important applications of computer graphics. To have a parallel infrastructure for visualization, some technologies would be needed. We identify the state-of-the-art technologies that have prepared for building such an infrastructure and examine a collection of applications that would benefit from it. We consider a broad range of scientific and technological advances in visualization, which are relevant to visual supercomputing. Mainly, we present the original abstracts from the cited papers.

关键词： parallel processing distributed processing cluster computers parallel rendering algorithms visual supercomputing visualization autonomic computing mobile visualization

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Entropy based mitigation of distributed-Denial-of-Service (DDoS) attack on Control Plane in Software-Defined-Network (SDN) 10

Entropy based mitigation of Distributed-Denial-of-Service (D...

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10th international conference on computing, Communication and Networking technologies (ICCCNT)

作者： Yadav, Sanjay Kumar Suguna, P. Velusamy, R. Leela Natl Inst Technol Comp Sci & Engn Tiruchirappalli 620015 India

ISBN: (纸本)9781538659069

SDN is new networking concept which has revolutionized the network architecture in recent years. It decouples control plane from data plane. Architectural change provides re- programmability and centralized control management of the network. At the same time it also increases the complexity of underlying physical infrastructure of the network. Unfortunately, the centralized control of the network introduces new vulnerabilities and attacks. Attackers can exploit the limitation of centralized control by DDoS attack on control plane. the entire network can be compromised by DDoS attack. Based on packet entropy, a solution for mitigation of DDoS attack provided in the proposed scheme.

关键词： SDN Data plane Control plane Centralized control DDoS Attack Vulnerabilities Mitigation Entropy

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