Many members of large science collaborations already have specialized grids available to advance their research in the need of getting more computing resources for data analysis. This has forced the Collider Detector ...
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Many members of large science collaborations already have specialized grids available to advance their research in the need of getting more computing resources for data analysis. This has forced the Collider Detector at Fermi lab (CDF) collaboration to move beyond the usage of dedicated resources and start exploiting grid resources. Nowadays, CDF experiment is increasingly relying on glidein-based computing pools for data reconstruction. Especially, Monte Carlo production and user data analysis, serving over 400 users by central analysis farm middleware (CAF) on the top of Condor batch system and CDF grid infrastructure. Condor is designed as distributed architecture and its glidein mechanism of pilot jobs is ideal for abstracting the gridcomputing by making a virtual private computing pool. We would like to present the first production use of the generic pilot-based Workload Management System (glideinWMS), which is an implementation of the pilot mechanism based on the Condor distributed infrastructure. CDF gridcomputing uses glideinWMS for its data reconstruction on the FNAL campus grid, user analysis and Monte Carlo production across Open Science grid (OSG). We review this computing model and setup used including CDF specific configuration within the glideinWMS system which provides powerful scalability and makes gridcomputing working like in a local batch environment with ability to handle more than 10000 running jobs at a time.
It is publicly considered that the next generational Internet technology is gridcomputing, which supports the sharing and coordinated use of diverse resources in dynamic virtual organizations from geographically and ...
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distributed Power take advantage of clean new energy sources, combined with the actual situation of the country, flexible and efficient power generation, has been valued by all countries of the world. distributed gene...
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ISBN:
(纸本)9781467398466
distributed Power take advantage of clean new energy sources, combined with the actual situation of the country, flexible and efficient power generation, has been valued by all countries of the world. distributed generation in the power system is used widely on the existing distribution network system to produce a far-reaching impact. DG access to the distribution network, to ensure the reliability of its contribution to the distribution grid, distribution network automation and protection put forward higher requirements. In this paper, distributed power at different voltage levels with wiring grid, DG access distribution network access point, the access distribution analysis DG way impact on the reliability of the power grid and power distribution network, to incorporate DG Research on Protective Relaying algorithm for Distribution provides after a theoretical basis.
gridcomputing enables the aggregation of a large number of computational resources for solving complex scientific and engineering problems. However, writing, deploying, and testing grid applications over highly heter...
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ISBN:
(纸本)9781424425785
gridcomputing enables the aggregation of a large number of computational resources for solving complex scientific and engineering problems. However, writing, deploying, and testing grid applications over highly heterogeneous and distributed infrastructure are complex and error prone. A number of grid integrated development environments (IDEs) have been proposed and implemented to simplify grid application development. This paper presents an extension to our previous work on a grid IDE in the form of a software framework with a well-defined API and an event mechanism. It provides novel tools to automate routine grid programming tasks and allow programmable actions to be invoked based on certain events. Its system model regards resources as first-class objects in the IDE and allows tight integration between the execution platforms and the code development process. We discuss how the framework improves the process of grid application development.
distributedcomputing is a good alternative to expensive supercomputers. There are plenty of frameworks that enable programmers to harvest remote computing power. However, until today, much computation power in the ed...
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ISBN:
(纸本)9781509014828
distributedcomputing is a good alternative to expensive supercomputers. There are plenty of frameworks that enable programmers to harvest remote computing power. However, until today, much computation power in the edges of the Internet remains unused. While idle devices could contribute to a distributed environment as generic computation resources, computation-intense applications could use this pool of resources to enhance their execution quality. In this paper, we identify heterogeneity as a major burden for distributed and edge computing. Heterogeneity is present in multiple forms. We draw our vision of a comprehensive distributedcomputing system and show where existing frameworks fall short in dealing with the heterogeneity of distributedcomputing. Afterwards, we present the Tasklet system, our approach for a distributedcomputing framework. Tasklets are fine-grained computation units that can be issued for remote and local execution. We tackle the different dimensions of heterogeneity and show how to make use of available computation power in edge resources. In our prototype, we use middleware and virtualization technologies as well as a host language concept.
Providing Quality of Service (QoS) in grid environments is still a challenging task because advance reservation of resources is not always possible. By contrast, scheduling the use of resources in advance is a way of ...
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ISBN:
(纸本)9780769549392;9781467353212
Providing Quality of Service (QoS) in grid environments is still a challenging task because advance reservation of resources is not always possible. By contrast, scheduling the use of resources in advance is a way of enhancing the provision of QoS, without physically reserving them. However, in a grid scenario fragmentation may appear as a logic result of the allocation process, leading to poor resource utilization. To try to avoid that problem a rescheduling technique has been developed and applied periodically depending on the existing fragmentation. Nevertheless, reallocating jobs in an optimal way is an NP-Hard problem. Consequently, simple and scalable ways of distributing and allocating those jobs into the resources are presented and evaluated in a real grid environment involving heterogeneous computing resources distributed across different national organizations, highlighting the benefits of using them to increase the resource usage.
Replica exchange is a powerful sampling algorithm and can be effectively used for applications such as simulating the structure, function, folding, and dynamics of proteins and drug design. However, grid-based impleme...
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ISBN:
(纸本)9781424415595
Replica exchange is a powerful sampling algorithm and can be effectively used for applications such as simulating the structure, function, folding, and dynamics of proteins and drug design. However, grid-based implementations of the algorithm present significant challenges due to its synchronization and communication requirements. This paper presents an asynchronous formulation of the replica exchange algorithm and the design and implementation of a grid-based asynchronous replica exchange engine (GARE). GARE is based on CometG, a decentralized computational infrastructure for Desktop grid environments that provides a scalable communication and interaction substrate and presents a virtual semantically specialized shared space abstraction. It enables the dynamic and asynchronous interactions required by the algorithm to be simply expressed and efficiently implemented. The design and implementation of GARE/CometG and the replica exchange simulations that it enables are presented. Experimental evaluations using the PlanetLab [1] wide-area test bed as well as a campus grid environment are presented.
This paper presents the design and simulation of a grid interface system for a DG (distributed generator) source. The grid interface is realized by a three phase VSI (voltage source Inverter). The control scheme emplo...
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ISBN:
(纸本)9781479923977
This paper presents the design and simulation of a grid interface system for a DG (distributed generator) source. The grid interface is realized by a three phase VSI (voltage source Inverter). The control scheme employed for the grid interface is based on generalized pq theory. The proposed control scheme will work even when the grid voltage is highly distorted. The design of the magnetics used in the grid interface is also presented. The proposed control scheme is validated for injecting real power to the grid from a DG source by simulation in MATLAB SIMULINK environment. The results show that the proposed control scheme is an attractive solution for grid interface of DG sources like PV, fuel cells and wind driven PMSG.
Rapid growth of internet and other technologies seems more challenging to develop the high speed networks with powerful capabilities in lower computational cost. To cover the above problem gridcomputing has emerged r...
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ISBN:
(纸本)9781467368094
Rapid growth of internet and other technologies seems more challenging to develop the high speed networks with powerful capabilities in lower computational cost. To cover the above problem gridcomputing has emerged rapidly. The previous technologies such as distributedcomputing cluster computing, parallel computing, etc., facing the problem of space utilization. Using gridcomputing technologies the distributed resources can be accessed or used situated around the world without any geographical limitations. Algorithms developed earlier basically focused on homogenous set of computing nodes having homogenous network with higher computational speed. In this paper we are addressing the problem of adaptability, scalability and heterogeneity that creates gridcomputing environment more challenging. Here covered the important aspects of gridcomputing;scalability heterogeneity, and allocation of resources dynamically. The proposed multilevel tree architecture that is Hierarchal;Covers scalability and heterogeneity of the resources All the computing resources are independent from the architecture of grid.
The success of large-scale multi-national projects like the forthcoming analysis of the LHC particle collision data at CERN relies to a great extent on the ability to efficiently utilize computing and data-storage res...
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ISBN:
(纸本)0769512607
The success of large-scale multi-national projects like the forthcoming analysis of the LHC particle collision data at CERN relies to a great extent on the ability to efficiently utilize computing and data-storage resources at geographically distributed sites. Currently, much effort is spent on the design of grid management software (Datagrid, Globus, etc.), while the effective integration of computing nodes has been largely neglected up to now. This is the focus of our work. We present a framework for a high-performance cluster that can be used as a reliable computing node in the grid. We outline the cluster architecture, the management of distributed data and the seamless integration of the cluster into the grid environment.
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