DGIP (distributed Geographic Information Processing) has become a new tendency of GIS (Geographic Information System) recently. DGIP focuses on how to organize and process a series of geographic resources in distribut...
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ISBN:
(纸本)9781424473021
DGIP (distributed Geographic Information Processing) has become a new tendency of GIS (Geographic Information System) recently. DGIP focuses on how to organize and process a series of geographic resources in distributedcomputing environment and now existing research is mainly carried out from a global point of view. But it is noticeable that each computing node in distributedcomputing environment will carry a heavy load with growth of data quantity. So this paper concentrates on how to make each computing node fulfill the subtask more quickly to achieve efficient local acceleration. The paper designs a prototype for distributed remote sensing image processing and achieves local acceleration in each computing node with CUDA (Compute Unified Device Architecture). Firstly, the paper introduces the distributed procedure of the prototype and overviews the architecture and programming model of CUDA. Then the paper takes Mean Filter as an example to design and implement the parallel program with CUDA to accelerate the procedure of remote sensing image processing in each node. To evaluate the performance of the local acceleration, the paper carries out a group of comparative tests between the parallel implementation with CUDA and the conventional implementation. The results demonstrate that the local acceleration with CUDA runs more than 20 times faster than conventional process.
Cognitive radio is an exciting emerging technology that has the potential of dealing with the urgent requirement and scarcity of the radio spectrum. Although having multiple radio interfaces and available spectrum ban...
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ISBN:
(纸本)9781424437092
Cognitive radio is an exciting emerging technology that has the potential of dealing with the urgent requirement and scarcity of the radio spectrum. Although having multiple radio interfaces and available spectrum bands can generally increase the effective throughput, a problem arises as to what the best strategy to dynamically assign available bands to secondary users for maximizing throughput by minimizing the interference, and what the best scheme to allocate the spectrum holes to unlicensed users to maximize the fairness. This paper presents a distributed and heuristic spectrum assignment algorithm for multi-radio wireless cognitive networks in a cognitive network environment. The proposed algorithm (Fairness Bargaining with Maximum throughput, FBMT) considers the problems including system throughput and the fairness. Extensive simulation studies in 802.11 based multi-radio cognitive networks have been performed. The results indicate that the proposed algorithm can facilitate a large increase in network throughput and acquire a good fairness performance in comparison with a common spectrum assignment mechanism that is used as a benchmark in the literature.
This paper describes a technique to save energy in the distributed Information_Driven maximum likelihood algorithm used for the localization of a diffusive source in Wireless Sensor networks. First, the accurate Infor...
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ISBN:
(纸本)9781424437092
This paper describes a technique to save energy in the distributed Information_Driven maximum likelihood algorithm used for the localization of a diffusive source in Wireless Sensor networks. First, the accurate Information_driven maximum likelihood distributed estimation based on the Gauss-Newton method is derived and called Modified Information-driven Collaborative Processing (MIDCP). In this method, a neighborhood region is defined and the information of all sensor nodes in this area is used to increase the algorithm accuracy. Then, a method for decreasing the energy consumption of this algorithm is proposed and called Energy Efficient MIDCP (EFMIDCP). In this algorithm, for estimation update, first, the neighboring radius is set to communication range of sensor nodes. After that, based on the covariance of estimation error in each iteration, this radius is decreased. Therefore, the amount of energy consumption is abated because of less transmission. Simulation results show the low energy consumption in the second proposed algorithm while its accuracy is rather well.
Environmental monitoring is an important application area for wireless sensor networks (WSNs). An important problem for environmental WSNs is the characterization of the dynamic behaviour of transient physical phenome...
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Cyber foraging is a pervasive computing technique where small mobile devices offload resource intensive tasks to stronger computing machinery in the vicinity. This paper presents Scavenger - a new cyber foraging syste...
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Processing streams of data in an overlay network of operators distributed over a wide-area network is a common idea shared by different applications such as distributed event correlation systems and large-scale sensor...
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With the development of Grid technology and the extension of Grid application areas, it needs to provide core infrastructure platform and the necessary functional components for large-scale resources sharing and colla...
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This paper argues that algorithmic skeletons are a suitable programming model for multi-core architectures. The high-level abstractions offered by algorithmic skeletons provide a simple way for non-parallel programmer...
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ISBN:
(纸本)9780769539393
This paper argues that algorithmic skeletons are a suitable programming model for multi-core architectures. The high-level abstractions offered by algorithmic skeletons provide a simple way for non-parallel programmers to address parallel programming. Previous algorithmic skeleton frameworks and libraries have addressed distributedcomputing environments such as Clusters and Grids. This paper proposes a parallel skeleton library, Skandium;and concludes, after an experimental evaluation, that algorithmic skeletons are an effective methodology to program multi-core architectures.
This work presents a high-order finite element solver developed in the MatLab environment with procedures for high performance computing based on a very simple domain decomposition technique. The code has been develop...
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ISBN:
(纸本)9781905088416
This work presents a high-order finite element solver developed in the MatLab environment with procedures for high performance computing based on a very simple domain decomposition technique. The code has been developed with the goal of testing news procedures for the solution of finite elements problems using distributedcomputing. The code has been tested in many different problems including Poisson operator, Plane Stress, Plane Strain, Linear and Nonlinear Elasticity, Optimization, Contact and Reynolds Equation. This paper aims to present features of the developed software, mainly the aspects of domain decomposition and distributedcomputing.
Previous work on the use of the Teleo-Reactive technique in high level software development has shown it to be a viable approach for autonomic systems. A T-R program can recover from unexpected events without knowing ...
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