With the rapid development of computer technology, distributedcomputing and parallelcomputing have made great progress. distributedparallelcomputing system is a combination of distributedcomputing and parallel co...
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This paper proposes the detection of islanding and fault in a PV penetrated power system. A comprehensive mathematical model of photovoltaic (PV) array connected to grid consisting of circuit breaker and three phase f...
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ISBN:
(纸本)9781538678084
This paper proposes the detection of islanding and fault in a PV penetrated power system. A comprehensive mathematical model of photovoltaic (PV) array connected to grid consisting of circuit breaker and three phase fault including maximum power point tracker, IGBT bridge and controller is presented based on MATLAB simulink tool. PV model is evolved by taking basic circuit equation of photovoltaic solar cells including effects of solar irradiation and change in temperature. Islanding is a situation where a small part of grid is detached from principal grid which is done when there is a fault or maintenance is required.
Researchers in the biological and health industries need powerful and stable systems for their work. These systems must be dependable, fault-tolerant, highly available and easy to use. To cope with these demands we pr...
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ISBN:
(纸本)0769519199
Researchers in the biological and health industries need powerful and stable systems for their work. These systems must be dependable, fault-tolerant, highly available and easy to use. To cope with these demands we propose the use of computational and data clusters in a fail-over configuration combined with the grid technology and job scheduling. Our infrastructure has been deployed successfully for running time-critical applications in commercial environments. We also present experimental results from this pilot implementation that demonstrate the viability of our approach.
Resource discovery is an important aspect of computational grid. Locating resources in a grid environment is difficult because of the geographic dispersion and dynamic nature of its resources. In this paper, a center-...
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This paper demonstrates practical applications based on SAGA -A Simple API for grid Applications-for distributedcomputing resources over multi-middleware infrastructures. SAGA provides a high-level programming interf...
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This paper demonstrates practical applications based on SAGA -A Simple API for grid Applications-for distributedcomputing resources over multi-middleware infrastructures. SAGA provides a high-level programming interface that bridges between applications and grids as well as local schedulers such as PBS. At the computing Research Center of KEK, we are playing a role to support not only on-site users, but also domestic university groups in the High Energy and Nuclear Physics (HENP) community. In order to provide a more effective and practical client environment to users, we have developed grid-adaptive applications based on SAGA as a part of activity in the REsources liNKage for E-scIence (RENKEI) for the general purpose e-Infrastructure using National Research grid Initiative (NAREGI) middleware. We present the technical details for the user environment demonstrator and discuss the usability by real HENP applications. (C) 2010 Published by Elsevier Ltd.
Different market mechanisms have been used to match resources with users in gilds. In this paper, we propose two simple contract-net based resource selection policies in gilds with heterogeneous resources. A detailed ...
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ISBN:
(纸本)9780769530895
Different market mechanisms have been used to match resources with users in gilds. In this paper, we propose two simple contract-net based resource selection policies in gilds with heterogeneous resources. A detailed experimental evaluation of the policies shows that they perform better than other commonly used policies for many scenarios.
Context-aware computing is one of the key issues in virtual computing environment. This paper aims to compare the ontology-based context modeling and reasoning approach with the traditional non-semantic one. A general...
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The computing velocity and memory storage of Single PC are often limited in large-scale electromagnetic simulation by finite element method (FEM), parallel processing is an important means to overcome such problems. T...
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ISBN:
(纸本)9781467371063
The computing velocity and memory storage of Single PC are often limited in large-scale electromagnetic simulation by finite element method (FEM), parallel processing is an important means to overcome such problems. The domain decomposition method (DDM) which decomposes the domain by nodes dominating and suits for parallelcomputing was illustrated first in this paper;A 2D electrostatic model was built and decomposed by the DDM;And the FEM linear system of equations was solved by using parallel CG method on the distributedparallel system composed of 6 PCs, the effective speed up reaching 97.5% was satisfying. Especially for large-scale simulation which consists of more than millions of freedoms, the parallel processing reduces computing time and increases the computing velocity greatly, it's the base on which large-scale 3D electromagnetic parallelcomputing.
In 2006 the Route load balancing algorithm was proposed and compared to other techniques aiming at optimizing the process allocation in grid environments. This algorithm schedules tasks of parallel applications consid...
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In 2006 the Route load balancing algorithm was proposed and compared to other techniques aiming at optimizing the process allocation in grid environments. This algorithm schedules tasks of parallel applications considering computer neighborhoods (where the distance is defined by the network latency). Route presents good results for large environments, although there are cases where neighbors do not have an enough computational capacity nor communication system capable of serving the application. In those situations the Route migrates tasks until they stabilize in a grid area with enough resources. This migration may take long time what reduces the overall performance. In order to improve such stabilization time, this paper proposes RouteGA (Route with Genetic Algorithm support) which considers historical information on parallel application behavior and also the computer capacities and load to optimize the scheduling. This information is extracted by using monitors and summarized in a knowledge base used to quantify the occupation of tasks. Afterwards, such information is used to parameterize a genetic algorithm responsible for optimizing the task allocation. Results confirm that RouteGA outperforms the load balancing carried out by the original Route, which had previously outperformed others scheduling algorithms from literature.
grid fusion of renewable energy based distributed generation (DG) is gaining popularity globally due to their benefits of increasing efficiency, power quality, and system reliability. In front of their benefits, they ...
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