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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1241-1250 订阅

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The Impacts of cloud computing on Geospatial Information Science

The Impacts of Cloud Computing on Geospatial Information Sci...

引用

2010 2nd international conference on Multimedia and Computational Intelligence (ICMCI 2010)

作者： Shaotang LIU Department of Civil engineering Henan Institute of engineering Zhengzhou, China Zhigang JI Department of the Library, Hebei University of engineering, Handan, China Yubao LIANG Department of Survey & Land Information engineering, Henan University of Urban Construction Pingdingshan, China Xusheng CUI Department of Surveying engineering Huaihai Institute of Technology Lianyungang, China

cloud computing has become a hot Internet terms since the beginning of 2007. There are about 64,600,000 results of "cloud computing" in Google search, but not much more linked with Geomatics are found. In this paper, the authors give the definition of cloud computing, compare its important features with grid computing, analyze the "cloud computing" internet search trends with "Google Trends", and discuss the impact on Geomatics. It is concluded that cloud computing is a trend of the Internet development. It is promoted by the needs both of enterprises and the users. It not only has a revolutionary impact on internet applications, products and models, but also has a great influence on geoinformation collecting and processing, GIS development and data sharing. At the end the authors suggest that close attention must be paid on cloud computing studies.

关键词： cloud computing GIS, Geo-informatics Geomatics

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On-Line Automatic Resource Configuration for distributed Applications

On-Line Automatic Resource Configuration for Distributed App...

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international Symposium on Computer Science and its Applications, CSA

作者： Hao Liu Soren-Aksel Sorensen Amril Nazir Department of Computer Science University College London UK

ISBN: (纸本)9781424449453;9781424449460

A key problem in executing performance critical applications on distributed computing environments (e.g. the grid) is the selection of resources. Research related to "automatic resource selection" aims to allocate resources on behalf of users to optimize the execution performance. However, most of current approaches are based on the static principle (i.e. resource selection is performed prior to execution) and need detailed application-specific information. In the paper, we introduce a novel on-line automatic resource selection approach. This approach is based on a simple control theory: the application continuously reports the Execution Satisfaction Degree (ESD) to the middleware Application Agent (AA), which relies on the reported ESD values to learn the execution behavior and tune the computing environment by adding/replacing/deleting resources during the execution in order to satisfy users' performance requirements. We introduce the Desired Processing Capability Estimation learning policy to enable AA to learn and tune the computing environment based on the approach. A Mandelbrot computation and a Bulk Synchronization parallel (BSP) computation are performed to show the effectiveness of the approach.

关键词： Application software Resource management distributed computing Middleware Electrostatic discharge Concurrent computing Processor scheduling High performance computing Fluid dynamics Computer science

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Prediction of Penetration Depth Based on OWMAML

Prediction of Penetration Depth Based on OWMAML

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Machine Learning, cloud computing and Intelligent Mining (MLCCIM), international conference on

作者： Jimin Wang Binbin Wu Ying Cao Lei Zhang College of Computer and information Hohai University Nanjing China Institute of Denfense Engineering AMS.PLA Luoyang China

Due to the lack of experimental data, it is difficult to apply machine learning or deep learning methods to conduct related research of penetration depth prediction. However, the existing few-shot learning models such as MAML are almost based on the assumption that the data is uniformly distributed, so such models also struggle to achieve success on penetrating data. In this paper, we propose an Optimization based Weighted MAML algorithm. The data is first partitioned using the K-means algorithm. Then the data from different partitions are randomly extracted and introduce the corresponding weights to train. Finally, to improve the stability of model convergence, the method is combined with an improved activation function and cosine annealing algorithm for evaluation. We compared our method with the original MAML and other existing few-shot learning methods on both concrete and tundra datasets, and the results show that the method in this paper has a relatively significant improvement in prediction accuracy and stability on both datasets.

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Energy Optimization of Air-based Information Network with Guaranteed Security Protection

Energy Optimization of Air-based Information Network with Gu...

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IEEE international conference on Cyber Security and cloud computing

作者： Xiao Liu Meikang Qiu Xiaodong Wang Weiran Liu Kaiquan Cai School of Electronic and Information Engineering Beihang University Beijing Key Laboratory for Network-based Cooperative Air Traffic Management Beijing China Department of Computer Science Pace University New York NY USA Electrical Engineering Department Columbia University New York NY USA

ISBN: (纸本)9781467393010

The air-based information network of the Space-Air-Ground Integrated Network has the distinct characteristics of heterogeneous, time-varying, distributed and self-organized, which bring not only new challenges of node mobility model, dynamic network grouping and interconnection and intercommunication of heterogeneous networks, but also higher requirements of network security. Therefore, selecting an efficient and safe communication link is critical when there may not be fixed rules. In this article, we build a model of the air-based information network, and use the method of dynamic programming to select the most efficient communication link by minimizing the energy consumption in the communication model. In the communication model, energy consumption is associated with the security level of the communication link. The experiments show that the presented algorithms can effectively reduce the total cost while satisfying security constraints.

关键词： air-based information network energy efficiency dynamic programming security protection

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Genetic Algorithms for Energy-Aware Scheduling in Computational grids

Genetic Algorithms for Energy-Aware Scheduling in Computatio...

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international conference on P2P, parallel, grid, cloud and Internet computing (3PGCIC)

作者： Joanna Kolodziej Samee Ullah Khan Fatos Xhafa Department of Mathematics and Computer Science University of Bielsko-BiaBa Bielsko-Biala Poland Department of Electrical and Computer Engineering North Dakota State University ND USA Department of Languages and Informatics Systems Technical University of Catalonia Barcelona Spain

Because of its sheer size, Computational grids (CGs) require advanced methodologies and strategies to efficiently schedule users tasks and applications to resources. Scheduling becomes even more challenging when energy efficiency, classical make span criterion and user perceived Quality of Service (QoS) are treated as first-class objectives in CG resource allocation methodologies. In this paper we approach the independent batch scheduling in CG as a biobjective minimization problem with make span and energy consumption as the scheduling criteria. We use the Dynamic Voltage Scaling (DVS) methodology for reducing the cumulative power energy utilized by the system resources. We develop two Genetic Algorithms (GAs) with elitist and struggle replacement mechanisms as energy-aware schedulers. The proposed algorithms were experimentally evaluated for four CG size scenarios in static and dynamic modes. The simulation results showed that our proposed GA-based schedulers fairly reduce the energy usage to a level that is sufficient to maintain the desired quality level(-s).

关键词： Schedules Vectors Processor scheduling Voltage control Optimization Energy consumption Genetic algorithms

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Optimizing grid Resource Allocation by Combining Fuzzy Clustering with Application Preference

Optimizing Grid Resource Allocation by Combining Fuzzy Clust...

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The 2nd IEEE international conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

作者： Lizhong Jin Dawei Sun Xingwei Wang Guiran Chang School of Information Science & Engineering Northeastern University Shenyang China Computing Center Northeastern University Shenyang China

ISBN: (纸本)9781424458455;9781424458486;9781424458479;9781424458462

Focusing on the problem of resource allocation under large-scale, distributed, autonomous, heterogeneous and dynamic environments in grid computing, a heuristic algorithm combining fuzzy clustering with application preference is proposed. Fuzzy clustering method is applied according to a group of features, which describe the user's application preference, to realize reasonable pre-classification resource. Then a resource is chosen according to the synthetic evaluation value, which can make the user's target utility maximized. There is no need to search every resource at each scheduling step. Therefore, the cost on choosing the resource to execute the current task is reduced significantly. Experimental results show that the bigger the target system, the more efficient the algorithm is, and the more satisfactorily the application preferences of users are met. Furthermore, since resources are classified by different application preferences, this method can also avoid heavy loads concentrating on only a few resources so as to improve load balance in grid environments.

关键词： grid computing application preference fuzzy clustering resource allocation heterogeneous computing environment

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Research on the Design of Mass Entrepreneurship and Innovation Training System for Tourism English Majors Based on cloud Learning Platform

Research on the Design of Mass Entrepreneurship and Innovati...

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Information Science and Education (ICISE-IE), international conference on

作者： Wenyu Xu Sichuan Vocational and Technical College Suining China

ISBN: (纸本)9781665438308

Under the current background of “mass entrepreneurship and innovation”, a cloud learning platform for innovation and entrepreneurship training has been established based on cloud computing technologies such as virtualization and distribution, which is of great significance to improve the comprehensive ability of contemporary college students in mass entrepreneurship and innovation and promote the development of tourism English major education in colleges and universities. Through the establishment of non-relational database system (NoSQL) and distributed design to complete data collection and storage, and combining with Internet application technology, this paper builds a mass entrepreneurship and innovation training guidance platform and a mass entrepreneurship and innovation training management platform that meet the requirements of college tourism English professional entrepreneurship and innovation to realize the analysis and call of various data. Finally, the goal of strengthening the cognition of “mass entrepreneurship and innovation” education, effectively constructing the practical training system and perfecting the teaching content of the practical training system will be achieved, so as to improve the application ability of professional technology of tourism English students and promote the development of tourism English mass entrepreneurship and innovation in colleges and universities.

关键词： Training Computers Technological innovation cloud computing Information science engineering profession Employment

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distributed Service Integration for grid Resource Brokers

Distributed Service Integration for Grid Resource Brokers

引用

2010 The 2nd international conference on Industrial Mechatronics and Automation (ICIMA 2010)

作者： Jun Xie College of Information engineering,Capital Normal University Beijing 100048,China Ming Chen College of Information engineering,Capital Normal University Beijing,China

grid computing promise the ability to share geographically and organizationally distributed resource to increase effective computational power and resource ***,for the grid computing to be successful,it is very important to provide middleware services that assist grid users to easily interact with grid *** paper presents a utility quality of service for grid resource *** Brokers on the grid consult a number of distributed information service to select the best data source based on user *** consultation task increases the design complexity of Resource *** have designed and implemented a utility quality of service for grid resource brokers to hide the underlying complexity of the grid resources from users and to meet not only grid user’s requirements but also resource owner’s *** focuses on the discovering and scheduling dynamic resources scattered across multiple ***,it can be integrated with various scheduling services.

关键词： grid resource QoS grid Resource Brokers

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Power system state estimation with fusion method

Power system state estimation with fusion method

引用

international conference on Computer and Automation engineering, ICCAE

作者： Nga-Viet Nguyen Vladimir Shin Georgy Shevlyakov Department of Mechatronics Gwangju Institute of Science and Technology Gwangju South Korea Department of Applied Mathematics Saint Petersburg State Polytechnical University Saint Petersburg Russia

ISBN: (纸本)9781424455690

A distributed power system consisting of multiple subsystems with individual state estimators needs to be globallymonitored using a system-wide state estimation function. To solve this problem, researchers have used several methods which can be categorized into three approaches: integrated state estimation, parallel state estimation and distributed state estimation. In literature, these methods are often separately applied and their temporary failures or states of poor quality can degrade the global state *** propose a fusion method being able to combine different state estimation solutions in order to obtain a more reliable and accurate system-wide state estimation.

关键词： Power systems State estimation Control systems Power system reliability Voltage Delay estimation Yield estimation distributed computing Medical services Current measurement

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Security algorithm on cloud Storage System

Security algorithm on Cloud Storage System

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international conference on Advances in computing, Communication Control and Networking (ICACCCN)

作者： Sanjeev Kumar Ojha Himanshu Rai Pramod Narayan Tripathi Alexey Nazarov Moscow Institute of Physics and Technology Moscow Russia

ISBN: (数字)9781728183374

ISBN: (纸本)9781728183381

The cloud computing basic idea was given by 1960 by Professor John, "The future computers will be just like, the telephone services and according to requirement we use their services" and this computer idea has been play a vital role in industry". The combination of distributed, grid computing and virtualization is known as cloud computing, and these systems are interconnected group of systems and dynamically provision and offering the one or more unified cloud-computing resources. SLA is known as service level agreement and playing a vital role between clients and service provider. The SLA service level agreement is a negotiation between the users and cloud provider. The cloud service provider's objective is to provide their services, to clients qualitative, more secure, abrupt, scalable, more responsive, cost-efficient, on demand and automatically provisioned services just like: storage services, computation services, network system etc. cloud services are geographically dispersed everywhere throughout the world in a transparent way and help to improve business execution by making a commitment to decrease the expense of conveying IT assets to any association. cloud services implementation helping to reduce in a organization is controlling IT resources the cost. These cloud services demands are day by day rapidly increase as financial model applied in cloud computing is "Pay-per-Use".

关键词： Computers cloud computing Heuristic algorithms Tools Load management Virtualization Service level agreements

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