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

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Hierarchical Model of cloud & Client computing based on Multi-agent

Hierarchical Model of Cloud & Client Computing based on Mult...

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2012 2nd international conference on Advanced Materials and Information Technology Processing(AMITP 2012)

作者： Xu Xiao-long Cheng Chun-Ling Xiong Jing-Yi College of Computer Nanjing University of Posts and Telecommunications

In order to explore the potential ability of cloud computing utilizing resources further,a new model of cloud computing is proposed in this paper,which divides the cloud & client computing environment into several layers in accordance with the type of node and adopts agent to encapsulate the behaviors and resources of node to achieve more efficient resource sharing and collaboration *** model takes full account of a variety of potential resources available owned by terminal nodes and deploys a variety of tasks divided from a job in an orderly manner to the core nodes,the general server nodes and terminal nodes in order to achieve the goal of maximizing resource *** further assure tasks can be completed efficiently and reliably,a specific cloud-coins-based incentive mechanism is also proposed,which can stimulate terminal nodes contributing its resources and working together ***,in this paper we present how to construct the experimental system and application demonstration of the hierarchical model of cloud & client computing based on multi-agent for reference,which also shows that our model is effective and feasible.

关键词： distributed computing cloud computing Multi-agent Task allocation Incentive

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Workshop Proceedings of the 10th international conference on Intelligent Environments

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丛书名： Ambient Intelligence and Smart Environments

2014年

作者： Juan Carlos Augusto T Zhang

ISBN: (数字)9781614994114

ISBN: (纸本)9781614994107

Advances in the engineering of sensing and acting capabilities, distributed in a wide range of specialized devices nowadays, provide an opportunity for the fundamental advances in computer science made in the past few decades to impact our daily lives. Sensors/actuators deployed in a physical space – a house, an office, a classroom, a car, a street – facilitate a link between an automated decision-making system and a technologically-enriched space. The Intelligent Environment, a digital environment that supports people in their daily lives, is a very active area of research which is attracting an increasing number of professionals (both in academia and industry) worldwide. The prestigious 10th international conference on Intelligent Environments (IE’14) is focused on the development of advanced Intelligent Environments and stimulates the discussion on several specific topics that are crucial to the future of the area. This volume is the combined proceedings of the workshops co-located with IE’14: 9th Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI’14); 2nd international Workshop on Applications of Affective computing in Intelligent Environments (ACIE’14); 3rd edition of the Workshop on Future Intelligent Educational Environments (WOFIEE’14); 2nd Workshop on cloud-of-Things 2014 (CoT’14); 3rd international Workshop on the Reliability of Intelligent Environments (WoRIE 2014); 4th Workshop on Creative Science 2014 (CS’14); and 1st Workshop on Hyperrealistic Intelligent Environments 2014 (HyperRealitIE’14). This book offers an overview of the latest developments in key areas of the development of Intelligent Environments.

关键词： Ambient intelligence.Ubiquitous computing.Human-computer interaction.

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Application of the parallel Computation of the 3D Finite Element in the Design of the Hydraulic engineering

Application of the Parallel Computation of the 3D Finite Ele...

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2014 2nd international conference on Economic,Business Management and Education Innovation(EBMEI 2014)

作者： Changhe Shan He Bei Engineering and Technical College

In terms of the demands of the large and complex 3D structures in the hydraulic engineering on the large-scale numerical calculation,based on the method of J-PCG(Jacobi preconditioned conjugate gradient method),the author establishes the computing algorithm of the finite element EBE(element-by-element) method in the distributed memory parallel *** algorithm does not need to consider the network topological structures and the sequence of the units,and also does not form the global stiffness matrix,and also can avoid the domain decomposition of the complex three-dimensional *** using the above algorithm,the author compiles the PFEM(parallel finite element method) program for the parallel solution of the 3D finite elements,and realizes it in the network cluster systems,which is then applied to the numerical calculation of the 3D finite elements in the two-beach dam – the foundation system and Shuibuya underground *** numerical results show that the 3D finite element parallel EBE method is very suitable for the large-scale numerical calculation of the 3D and complex structures in the hydraulic engineering.

关键词： Rock mechanics parallel computation 3D finite element method EBE(element-by-element) method

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cloud computing Framework for Smart grid Applications

Cloud Computing Framework for Smart Grid Applications

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48th international Universities Power engineering conference (UPEC)

作者： Bitzer, Berthold Gebretsadik, Enyew Sileshi South Westphalia Univ Appl Sci D-59494 Soest Germany

ISBN: (纸本)9781479932542

The future power grid expected to accommodate and integrates all new kinds of distributed renewable energy generations, intelligent energy management systems to accommodate the ever growing energy demand. This fact leads the trend of power grid to shift to the Smart grid that uses advanced communication, smart meters, sensors and information technologies to create an automated, intelligent and widely distributed energy delivery network. A huge amount of row data is collected by smart meters and sensors from the end user and different part of the network to the computation system. Subsequently, this considerably big amount of data must be processed, analyzed and stored in a cost effective ways. In this manner, an enormous pool of computing resources and storage must be provided to compute this vast amount of data. Researchers have been suggesting different solutions. A distributed and parallel computing techniques for future power system, grid computing [1], fast parallel processing of the mass data in cloud computing [2], and smart grid control software in cloud computing architecture [3]. This paper discussed the feasibility study of the handling of monitoring of renewable energy in smart grid on cloud computing framework retaining smart grid security, analysis of the availability of Energy management software tools in smart grid using cloud computing, design of a demonstrator and realization of demonstration for further education purpose to utilize the advantage of cloud computing distributed and scalable nature.

关键词： cloud computing Smart grid distributed computing

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Optimal sizing of HRES for small sized institute using HOMER

Optimal sizing of HRES for small sized institute using HOMER

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international conference on Electrical Energy Systems (ICEES)

作者： Vivek Kumar Soni Ranjeeta Khare Department of Electrical & Electronics Engineering Oriental Institute of Science & Technology Bhopal India

Hybrid energy system generally consists of a primary energy source working in parallel with standby secondary energy storage units. Hybrid Renewable energy system (HRES) is a combination of one or several renewable resources such as wind, solar, biomass, small/micro hydro, with other technologies such as batteries and fossil fuel powered diesel generator (for backup) to provide electric power. HRES is an excellent solution for electrification of remote rural areas where the grid extension is difficult and not economical. A hybrid renewable energy system may be used to reduce dependency on either conventional energy or renewable system. This paper gives the design idea of optimized Hybrid Energy System for a certain technical college/remote rural area for a particular site in central India (Bhopal). For this hybrid system, the meteorological data of Solar Isolation is taken for Bhopal (Longitude 77°42' E, Latitude 23°25' N and Altitude 427 m) and the pattern of load consumption of load are studied and suitably modeled for optimization of the hybrid energy system using HOMER software. HOMER (Hybrid Optimization Model for Electric Renewable) is a design model that determines the optimal architecture and control strategy of the hybrid system. Validation of this result is through evolutionary computing such as GA (genetic algorithm). Our objective is selected as minimizing the total capital cost, subject to the constraint of the Loss of Power Supply Probability (LPSP). Studies have proved that the genetic algorithm converges very well and the methodology proposed is feasible for optimally sizing standalone hybrid power systems.

关键词： Batteries Genetic algorithms Optimization Hybrid power systems Load modeling Solar radiation Arrays

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The Research of Global Food Supply Chain Management——The USA Supply Chain Operation and the Reference to China

The Research of Global Food Supply Chain Management——The U...

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2014 2nd international conference on Psychology,Management and Social Science(PMSS 2014)

作者： Bo Sun Zijing Zeng Guangdong University of Foreign Studies

At present,food supply chain management has aroused increasing attention in aspects of food and agricultural products in domestic,so it is particularly necessary for Chinese enterprises to keep a watchful eye on the foreign food supply chain *** this paper,we shall first briefly introduce the formation,the development and the causes on the concept of food supply chain,then analyze the status quo of global food supply chain management,and finally put forward the enlightenment to the global food supply chain management in China.

关键词： Global supply chain management,USA,Chinese enterprises

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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...

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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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A cloud Data Center Optimization Approach Using Dynamic Data Interchanges

A Cloud Data Center Optimization Approach Using Dynamic Data...

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2nd IEEE international conference on cloud Networking (cloudNet)

作者： Rappos, Efstratios Robert, Stephan Riedi, Rudolf H. Univ Appl Sci Western Switzerland Inst Informat & Commun Technol Haute Ecole Ingn & Geston Canton Vaud CH-1401 Yverdon Switzerland Univ Appl Sci Western Switzerland Ecole Ingenieurs & Architectes Fribourg Dept Telecommun CH-1705 Fribourg Switzerland

ISBN: (纸本)9781479905683

distributed data center architectures have been recently developed for a more efficient and economical storage of data. In many models of distributed storage, the aim is to store the data in such a way so that the storage costs are minimized and increased redundancy requirements are maintained. However, many approaches do not fully consider issues relating to delivering the data to the end user and the associated costs that this creates. We present an integer programming optimization model for determining the optimal allocation of data components among a network of cloud data servers in such a way that the total costs of additional storage, estimated data retrieval costs and network delay penalties is minimized. The method is suitable for periodic dynamic reconfiguration of the cloud data servers, so that the when localized data request spikes occur the data can be moved to a closer or cheaper data server for cost reduction and increased efficiency.

关键词： cache storage grid computing mathematical programming

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Introduction to the Proceedings of the 5th international Workshop on Personalization in cloud and Service computing (PCS) 2011

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Combined Workshops on Web Information Systems engineering, WISE 2011 and WISE 2012

作者： Yu, Jian Truong, Hong-Linh Han, Yanbo Faculty of ICT Swinburne University of Technology Melbourne VIC Australia Distributed Systems Group Vienna University of Technology Vienna Austria Research Center for Cloud Computing North China University of Technology Beijing China

ISBN: (纸本)9783642383328

Following the success of the international Workshop on Personalization in grid and Service computing (PGSC. Inaugural: Urumchi, Xinjiang, China;2nd: Shenzhen, China;3rd: Lanzhou, Gansu, China;4th: Nanjing, Jiangsu, China), the 5th internationalWorkshop on Personalization in cloud and Service computing (PCS) in 2011 was held in conjunction with the WISE 2011 conference in Sydney, Australia. This year, we engineered a brand new name for the workshop and expanded the initial research areas in service and grid computing to embrace the rapidly growing cloud computing research community. © 2013 Springer-Verlag.

关键词： grid computing

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A large-scale images processing model based on Hadoop platform 13

A large-scale images processing model based on Hadoop platfo...

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2013 2nd international conference on Innovative computing and cloud computing, ICCC 2013

作者： Zhang, Gongrong Wu, Qingxiang Zhuo, Zhiqiang Wang, Xiaowei Lin, Xiaojin College of Photonic and Electronic Engineering Fujian Normal University Fujian Fuzhou 350007 China

ISBN: (纸本)9781450321198

This paper presents a parallel processing model based on Hadoop platform for large-scale images processing, which aims to make use of the advantages of high reliability and high scalability of Hadoop distributed platform for distributed memory and distributed computing, so as to achieve the purpose of fast processing of large-scale images. The Hadoop streaming technology is used in the model. The main operations are written on shell script as the mapper of Hadoop streaming, then an assigned filelist is used as the Hadoop streaming's input. The large numbers of image files are delivered to cluster computers for concurrent image processing. The model has been implemented using virtual machines. A set of experimental results and analysis are provided. © 2013 ACM.

关键词： MapReduce

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