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检索条件"任意字段=2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering"

共 1404 条记录，以下是841-850 订阅

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Performance Analysis and Optimal Resource Usage in Finite Population cloud Environment

Performance Analysis and Optimal Resource Usage in Finite Po...

引用

2nd IEEE international conference on parallel, distributed and grid computing (PDGC)

作者： Goswami, V. Patra, S. S. Mund, G. B. KIIT Univ Sch Comp Applicat Bhubaneswar 751024 Orissa India

ISBN: (纸本)9781467329255;9781467329224

cloud computing provides a new paradigm for industries to meet the emerging business needs by accessing distributed computing resources such as infrastructure, hardware and software applications on-demand over the internet as services. As the technology and the need is growing very fast, in future there may be multiple vendors offering different services with different Quality of Services (QoS) and at various prices. This would lead to development of new methods and tools for the performance evaluation of the system to meet the offerings and requirements. In this paper, we present an analytical finite population model for performance evaluation of a private cloud computing system. Various performance measures of the cloud system for finite population environment indicate that the proposed provisioning technique helps the cloud operators in tuning the resources accordingly to improve the QoS targets.

关键词： cloud computing performance private cloud Quality of Services

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Research on cloud computing security problem and strategy

Research on cloud computing security problem and strategy

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2012 2nd international conference on Consumer Electronics, Communications and Networks, CECNet 2012

作者： Liu, Wentao Department of Computer and Information Engineering Wuhan Polytechnic University Wuhan Hubei Province 430023 China

ISBN: (纸本)9781457714153

The cloud computing is a new computing model which comes from grid computing, distributed computing, parallel computing, virtualization technology, utility computing and other computer technologies and it has more advantage characters such as large scale computation and data storage, virtualization, high expansibility, high reliability and low price service. The security problem of cloud computing is very important and it can prevent the rapid development of cloud computing. This paper introduces some cloud computing systems and analyzes cloud computing security problem and its strategy according to the cloud computing concepts and characters. The data privacy and service availability in cloud computing are the key security problem. Single security method cannot solve the cloud computing security problem and many traditional and new technologies and strategies must be used together for protecting the total cloud computing system. © 2012 IEEE.

关键词： cloud security

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A Service Provisioning and Managing Framework for Platform as a Service in Educational cloud

A Service Provisioning and Managing Framework for Platform a...

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2nd IEEE international conference on parallel, distributed and grid computing (PDGC)

作者： Ameen, Mohd Noorul Sanjay, H. A. Patel, Yasser Nitte Meenakshi Inst Technol Bangalore Karnataka India

ISBN: (纸本)9781467329255

Platform as a Service (PaaS) is one of the key services in cloud computing. It plays an important role in creating reliable, flexible, cost-efficient and open platform for educational system. Several computing platform already exists. However, nearly all current available cloud computing platforms are either proprietary or their software infrastructure is invisible to the research community, for universities and research institutes, more open and testable experimental platforms are needed in a lab-level with PCs. Traditional way of building platform have always been very complicated and expensive, in many IT settings platform get installed at every local PC's, this process dramatically increase the time and cost of managing, maintaining, and it's not accessible to user anytime on any device. Instead of developing an individual PC's, the entire package can be stored in centralized hub, in a cloud environment, and can be accessed any time anywhere, which can be achieved by different level of virtualization. Inspired by these reasons, an XCP based service provisioning and managing framework has been proposed and implemented, that would be an appropriate solution to create an open and flexible platform for educational system.

关键词： cloud computing Xen cloud Platform Platform as a Service Virtualization Hypervisor Web VI Educational System

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Energy Optimizations for Mobile Terminals via Computation Offloading

Energy Optimizations for Mobile Terminals via Computation Of...

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2nd IEEE international conference on parallel, distributed and grid computing (PDGC)

作者： Ma, Xiao Cui, Yong Wang, Lian Stojmenovic, Ivan Tsinghua Univ Dept Comp Sci Beijing 100084 Peoples R China Univ Ottawa Ottawa ON Canada Tsinghua Univ Sch Software Beijing Peoples R China

ISBN: (纸本)9781467329255;9781467329224

With the rapid development of mobile networking and device capability, energy efficiency becomes an important design consideration due to the limited battery life of mobile terminals. Processing energy cost by CPU is one of the most significant power consuming components in mobile terminals. The emergence of mobile cloud computing (MCC) provides the opportunity to save processing energy through the way of offloading computation tasks to remote server(s). In recent years, considerable research has been devoted to computation offloading to achieve energy efficiency. This paper presents a comprehensive summary of recent work, investigates representative infrastructure of computation offloading, and analyzes key components and future design trends of energy efficient mobile applications. Index Terms-Mobile terminal, energy, computation offloading, cloud computing.

关键词： Mobile terminal energy computation offloading cloud computing

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From grids to cloud: The pathway for brain dMRI cloud services

From grids to cloud: The pathway for brain dMRI cloud servic...

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2nd international conference on cloud computing and Services Science, CLOSER 2012

作者： Benmerar, Tarik Zakaria Oulebsir-Boumghar, Fatima ParIMed Team LRPE USTHB BP32 El Alia Bab-Ezzouar Algiers Algeria

ISBN: (纸本)9789898565051

In this paper, we present the actual architecture of Acigna-G, our cloud-oriented grid computing platform and the ongoing deployment of a MAS algorithm for brain segmentation. Also, we discuss three important improvements for this platform to allow the deployment of brain dMRI cloud services: HTTP/Restful oriented computing services for the management of user's service requests, application-level virtualization coupled with distributed computing models, and separation of user request management and computing tasks execution as found on actual PaaS cloud Services. Such architecture would offer a convenient deployment and use of brain dMRI PaaS/SaaS cloud Services onto a computing grid.

关键词： grid computing

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GPU accelerated Monte Carlo simulation of deep penetration neutron transport

GPU accelerated Monte Carlo simulation of deep penetration n...

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2nd IEEE international conference on parallel, distributed and grid computing (PDGC)

作者： Yang, Bo Lu, Kai Liu, Jie Wang, Xiaoping Gong, Chunye Natl Univ Def Technol Dept Comp Sci Changsha Hunan Peoples R China Sci & Technol Space Phys Libratory Beijing Peoples R China

ISBN: (纸本)9781467329255;9781467329224

Over the last decade, with the increasing performance and programmability of Graphics processing unit (GPU), these units have evolved from specialty hardware to massively parallel general computation devices. Simulation of neutron transport plays an important role in national economical construction and large-scale computing in science and engineering. MC (Monte Carlo) simulation of neutron transport owns great advantage over the determined methods to solve some complex types of particle transport. It is the disadvantage that the computational complexity of MC method is very huge. Due to the independence of samples in MC simulation, the algorithm of MC simulation is in principle well-suited to run on highly parallel GPU. However, the complexities of MC simulation of deep penetration particle transport bring serious difficulties in designing a GPU-based algorithm. We present an algorithm based GPU for MC deep penetration particle transport, in which a particle number based task decomposition method and high efficiency parallel data structure are proposed to match with the underlying GPU architecture. Results demonstrate that with the same computational accuracy as MCNP, MCNP-GPU referred to as MCNP integrated with our algorithm on M2050 achieves 3.53-fold and 7.26-fold speedup respectively by compared with MCNP running on X5670 and X5355.

关键词： GPU computing CUDA deep penetration particle transport Monte Carlo simulation MCNP

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distributed AGENT BASED COOPERATIVE DIFFERENTIAL EVOLUTION: A MASTER-SLAVE MODEL

DISTRIBUTED AGENT BASED COOPERATIVE DIFFERENTIAL EVOLUTION: ...

引用

2nd IEEE international conference on cloud computing and Intelligent Systems (CCIS)

作者： Zheng, Yujun Xu, Xinli Chen, Shengyong Wang, Wanliang Zhejiang Univ Technol Coll Comp Sci & Technol Hangzhou 310023 Zhejiang Peoples R China

ISBN: (纸本)9781467318556;9781467318570

The paper proposes a distributed computing framework that integrates parallel differential evolution (DE) and multi-agents. Given a complex high-dimensional optimization problem, our approach decomposes the problem into a set of sub-components, which are evolved by a set of Slave agents concurrently, and the results are synthesized and further evolved by a Master agent. As top-level agents of the framework, the Master and Slave agents can be divided into asynchronous teams of sub-agents including Constructors for solution initialization, Improvers for solution evolution, Repairers for constraint handling, Destroyers for keeping the quality and size of the population, etc., which share populations of solution vectors and cooperate to solve the problem efficiently. The proposed approach is highly parallelized, flexible, and scalable, and its efficiency is demonstrated by comparison with some state-of-the-art approaches.

关键词： Agent Differential evolution (DE) Master-slave model distributed computing

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Task scheduling through limited duplication with processor utilization in grid computing system

Task scheduling through limited duplication with processor u...

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2nd IEEE international conference on parallel, distributed and grid computing (PDGC)

作者： Agarwal, Neha Gupta, Chhavi Khare, Ankit Jaypee Univ Informat Technol Dept CSE & ICT Solan 173234 Himachal Prades India

ISBN: (纸本)9781467329255;9781467329224

In dependent task scheduling algorithms, task duplication is the finest scheduling technique for minimizing the response time of workflow application in grid computing system. When we apply task duplication scheduling algorithm on workflow application, we get shorter schedules (makespan) but it has one limitation that grid node can be overloaded due to duplications of tasks. In this paper we are proposing an algorithm in which we are focusing on three points (1) reducing makespan (2) reducing tasks duplication, and (3) achieving better processor utilization. For this we have suggested an algorithm (TLD-P) which is achieving good results for considered parameters as compared to the existing HLD and EDS-G algorithm.

关键词： grid computing Duplication task scheduling Processor utilization DAG Workflow applications

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Minimizing Maintenance Cost of Software by Injecting Autonomic computing Elements

Minimizing Maintenance Cost of Software by Injecting Autonom...

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2nd IEEE international conference on parallel, distributed and grid computing (PDGC)

作者： Sahadeva, Kunal Yadav, Sanjeev Kumar Sharma, Arun Krishna Inst Engn & Technol Ghaziabad India

ISBN: (纸本)9781467329255;9781467329224

With the advancement of new development technologies, softwares are developed with enormous size and complexities and there is a big challenge to minimize maintenance cost. In this paper, a case study is done to demonstrate the minimization of maintenance cost while injecting autonomic manager as a self-maintenance system. Autonomic manager is derived from autonomic computing. Autonomic computing has four self-* characteristics which are inspired by human nervous system, that is self-healing, self-optimization, self-protection and self-configuration.

关键词： Autonmic computing self-* characterstics autonomic manager maintenacne cost case study with autonomic manager

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Task Scheduling with Load Balancing for Computational grid Using NSGA II with Fuzzy Mutation

Task Scheduling with Load Balancing for Computational Grid U...

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2nd IEEE international conference on parallel, distributed and grid computing (PDGC)

作者： Salimi, Reza Motameni, Homayun Omranpour, Hesam Tabari Inst Higher Educ Coll Comp Sci Babol Sar Iran Islamic Azad Univ Dept Comp Engn Sari Branch Sari Iran Amirkabir Univ Technol Dept Comp Engn Tehran Iran

ISBN: (纸本)9781467329255;9781467329224

The resources management in a grid computing is a complicated problem. Scheduling algorithms play important role in the parallel distributed computing systems for scheduling jobs, and dispatching them to appropriate resources. An efficient task scheduling algorithm is needed to reduce the total Time and Cost for job execution and improve the Load balancing between resources in the grid. In grid computing, load balancing is a technique to distribute workload fairly across computational resources, in order to obtain optimal resource utilization with minimum response time, and avoid overload. Load balancing is a crucial problem to grid computing. In this paper, we address scheduling problem of independent tasks in the market-based grid. In market grids, resource providers can request payment from users based on the amount of computational resource that used by them. Beside we consider Makespan and Load balancing. In this paper, NSGA II with Fuzzy Adaptive Mutation Operator is used to address independent task assignments problems in parallel distributed computing systems. Results obtained proved that our innovative algorithm converges to Pareto-optimal solutions faster and with more quality.

关键词： Task scheduling grid computing Non-dominated Sorting Genetic Algorithm (II) Adaptive Mutation Operator fuzzy logic

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