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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 1401 条记录，以下是81-90 订阅

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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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A structure of intelligent grain network information platform based on cloud computing 17

A structure of intelligent grain network information platfor...

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2nd international conference on Internet of things, Data and cloud computing (ICC)

作者： He, Jianwei Zhang, Dexian Henan Univ Technol 100 Lianhua St Zhengzhou Peoples R China

ISBN: (纸本)9781450347747

The construction of intelligent grain network is an important part of the national grain protection, and information platform is an important foundation to support the construction of Intelligent Grain Network. In order to make full use of the computing resources, to meet the needs of reliable storage and efficient management of all the information, the information platform structure of intelligent grain network based on cloud computing is proposed. In this paper, the architecture of the platform is presented, and the feasibility, advantages and problems of the new method are analyzed. According to the characteristics of intelligent grain network state monitoring, combined with the Hadoop cloud computing technology, this paper proposes the solution of intelligent grain network monitoring cloud computing platform. Research on cloud computing virtualization, distributed storage and parallel programming model and other issues, can achieve reliable intelligent grain network mass information storage and fast parallel processing.

关键词： cloud computing intelligent grain network virtualization distributed storage parallel processing

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Kernel Virtual Machine based High Performance Environment for grid and Jungle computing 2

Kernel Virtual Machine based High Performance Environment fo...

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2nd international Informatics and Software engineering conference (IISEC) - Artificial Intelligence for Digital Transformation

作者： Bazai, Sibghat Ullah Ghafoor, Muhammad Imran Aqeel, Mubashar Roomi, Muhammad Sohaib BUITEMS Dept Comp Engn Quetta Pakistan Superior Univ Dept Elect Engn Lahore Pakistan

ISBN: (纸本)9781665407595

grid, cluster, cloud, and jungle enable highspeed computing in current domains. To tackle the rising data and the computation on the internet by dispersing the load between numerous nodes, grid and jungle computing originated as the largest option. In this article, we demonstrate two models-grid and jungle-using virtual machines. The java based virtual machine environment is used for constructing jungle and grid models. Our main aim is to reduce power consumption, gain high performance and reduce hardware costs for building these types of settings. The approach employs KVM (Kernel-based Virtual Machine) and Open Nebula cloud for configuration and deployment of grid and jungle in a virtual environment. The performance of different algorithms in virtual machines and regular machines are tested individually. The performance of models is calculated and compared using streaming Ramanujan number, firefly technique, and finding the prime numbers for both grid and jungle environment. The results provide the high execution of KVM for Ramanujan numbers and prime numbers while firefly technique requires more execution time on grid computing.

关键词： Jungle computing Virtual machines grid computing Cluster computing cloud computing Firefly-Ramanujan code

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computing mode study of large-scale power grid online analysis software based on cloud computing technology

Computing mode study of large-scale power grid online analys...

引用

2nd international conference on Mechanical engineering, Industrial Electronics and Informatization, MEIEI 2013

作者： Li, Jing Luo, Ya Di Xu, Jiea Jia, Yu Pei China Electric Power Research Institute Beijing 100192 China

ISBN: (纸本)9783037858905

This paper construct a large-scale power grid online analysis architecture based on "Dispatch cloud' architecture" and combined with the power system characteristics and large grid dispatch system online analysis software features, it propose power grid online analysis software wide-area multi-level distributed parallel computing mode based on Dispatch cloud Platform which is service oriented architecture(SOA). In this mode the coordination manage needed is achieved in the way of service encapsulation based SOA, including, data and model management services, computing resource management services, the job management and parallel computing services, In this mode the coordination manage needed is achieved in the way of service encapsulation based on SOA, including, data and model management services, computing resource management services, the job management and parallel computing services. which will provide theoretical and technical support to the large-scale power grid Online analysis software design and development Using cloud technology. © (2013) Trans Tech Publications, Switzerland.

关键词： Resource allocation

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Analysing the need for Autonomic Behaviour in grid computing

Analysing the need for Autonomic Behaviour in Grid Computing

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2nd international conference on Computer and Automation engineering (ICCAE)

作者： Chopra, Inderpreet Singh, Maninder Thapar Univ Comp Sci & Engn Dept Patiala Punjab India

ISBN: (纸本)9781424455690

With the introduction of grid computing, complexity of large scale distributed systems has become unmanageable because of the manual system adopted for the management these days. Due to dynamic nature of grid, manual management techniques are time-consuming, in-secure and more prone to errors. This leads to new paradigm of self-management through autonomic computing to pervade over the old manual system to begin the next generation of grid computing. In this paper, we have discussed the basic concept of grid computing and the need for grid to be autonomic. A comparative analysis of different grid middleware has been provided to show the absence of autonomic behavior in current grid architecture. To conclude the discussion, we have mentioned the areas where research work has been lacking and what we believe the community should be considering.

关键词： Autonomic computing Globus N1GE6 Condor Alchemi

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Descriptive Analysis of the cloud computing Services and Deployment Models 2

Descriptive Analysis of the Cloud Computing Services and Dep...

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2nd international conference for Advancement in Technology, ICONAT 2023

作者： Kaur, Tajinder Kamboj, Sushil Chandigarh University Computer Science Department Mohali India

ISBN: (纸本)9781665475174

cloud have wide-ranging implications in several areas of computing, notably massive knowledge, cloud computing has simply up to the highest of any list of technology subjects. Furthermore, it is one of the most important chop-chop developing technologies due to the availability of a wide range of computer infrastructure and services. The expansion of cloud computing has included mainframe computing, cluster and grid computing, distributed and parallel computing technologies, and so on. cloud computing has mostly supplanted grid, cluster, and mainframe computing. This refers to the delivery of numerous services over the web differently. Such as databases, infrastructure, run time platforms, knowledge storage, servers, networking, and code area unit samples of these resources. Price savings, bigger productivity, speed, efficiency, high performance, high computing power, and security are simply many of the explanations why consumers and businesses embrace the on demand computing. This article goes through the definition of cloud computing as well as its properties, various cloud services, deployment models, and security concerns. © 2023 IEEE.

关键词： grid computing

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distributed Energy computing Task Allocation Scheme Based on Blockchain and Edge computing 2

Distributed Energy Computing Task Allocation Scheme Based on...

引用

2nd international conference on Electrical engineering and Control Science, IC2ECS 2022

作者： Zhou, Chao Wang, Zhongdong Gao, Fan Zhou, Yu Cui, Gaoying Mu, Zhuowen Marketing Service Center State Grid Jiangsu Electric Power Co. Ltd Nanjing China

ISBN: (纸本)9798350399165

With the advancement of dual-carbon goals, the construction of distributed energy is gradually accelerating. The traditional centralized information scheduling method deploys message processing work in the cloud, resulting in slow message processing speed and data transmission delay. At the same time, blockchain has irreplaceable advantages in value representation, data sharing and secure transmission. Edge computing improves data processing efficiency and reduces delay. Therefore, this paper proposes a distributed energy computing task allocation scheme based on blockchain and edge computing to ensure data security under the premise of improving data processing speed. The communication delay of the computing mode in this paper is about 12.3 less than that of the cloud computing mode, and the energy consumption is about 30.6 less. © 2022 IEEE.

关键词： Blockchain

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Prioritized job scheduling algorithm using parallelization technique in cloud computing 2

Prioritized job scheduling algorithm using parallelization t...

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2nd international conference for Convergence in Technology (I2CT)

作者： Mhatre, Mallika Shree, Pragya Sharma, Sanjay Kumar Banasthali Univ Dept Comp Sci Vanasthali Rajasthan India

ISBN: (纸本)9781509043071

cloud computing is a distributed and parallel computing model in which cloud service providers guarantees to provide services to client by pay-per-use model. Now-a-days, it is possible to share pool of virtualized computer resources, computational equipments, servers and storages in cloud computing environment. Allocating resources to highly prioritized job within estimated time is one of the biggest issues in job scheduling Job should be scheduled properly in order to provide higher throughput of the system and to maintain Quality of Service & Economic Principles of Management policies. To solve such scheduling problem, we have proposed prioritized job scheduling algorithm with parallelization technique. This algorithm mainly focuses on equally prioritized job problem and uses master-slave concept for job scheduling. We had compared and analyzed our algorithm with other priority based algorithm. Results shows that proposed algorithm improves performance and resource utilization of cloud and it reduces execution time period by balancing load across cloud.

关键词： cloud computing job scheduling priority parallelization

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Detection of Attacks in cloud computing Environment- A Comprehensive Review 2

Detection of Attacks in Cloud Computing Environment- A Compr...

引用

2nd international conference on Intelligent engineering and Management, ICIEM 2021

作者： Rana, Pooja Batra, Isha Lovely Professional University Department of Cse Phagwara India

ISBN: (纸本)9781665414500

Today cloud computing is becoming very popular as it provides computing services at low cost. But the major obstacle in the cloud computing implementation is the security issue. Despite various advantages of cloud computing, various organizations are not moving towards it. are cloud computing is following the distributed technology and many vulnerabilities are introduced because of the features like multi-tenancy, resource-sharing. In this review paper various attacks and intrusion detection system in the cloud computing environment are discussed. Various existing intrusion detection systems for the cloud computing environment are explored and their limitations are also discussed. The future work is also discussed in this review paper. © 2021 IEEE.

关键词： Intrusion detection

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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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