The performance of parallelcomputing systems using the master/worker model for distributedgridcomputing tends to be degraded when large data sets have to be dealt with, due to the impact of data transmission time. ...
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ISBN:
(纸本)3540393684
The performance of parallelcomputing systems using the master/worker model for distributedgridcomputing tends to be degraded when large data sets have to be dealt with, due to the impact of data transmission time. In our previous study, we proposed a parallel transferable uniform multi-round algorithm (PTUMR), which efficiently mitigated this impact by allowing chunks to be transmitted in parallel to workers in environments that were homogeneous in terms of workers' computation and communication capacities. The proposed algorithm outperformed the uniform multi-round algorithm (UMR) in terms of application turnaround time, but it could not be directly adapted to heterogeneous environments. In this paper, therefore, we propose an extended version of PTUMR suitable for heterogeneous environments. This algorithm divides workers into appropriate groups based on both computation and communication capacities of individual workers, and then treats each group of workers as one virtual worker. The new PTUMR algorithm is shown through performance evaluations to significantly mitigate the adverse effects of data transmission time between master and workers compared with UMR, achieving turnaround times close to the theoretical lower limits even in heterogeneous environments.
In this paper we present design and development of the semantic grid services for the flood forecasting simulations. We will highlight the corresponding architecture and the process of service annotation, discovery an...
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Bioinformatics algorithms such as sequence alignment methods based on profile-HMM (Hidden Markov Model) are popular but CPU-intensive. If large amounts of data are processed, a single computer often runs for many hour...
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We have developed and used a grid-based geoinformatics infrastructure and analytical methods for investigating the relationship between macro and microscale earthquake deformational processes by linking geographically...
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Since customers' quality requirements in casting industry are constantly increasing while 'time to market' must be reduced at the same time, utilizing numerical simulation of the physical casting process a...
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ISBN:
(纸本)9616303813
Since customers' quality requirements in casting industry are constantly increasing while 'time to market' must be reduced at the same time, utilizing numerical simulation of the physical casting process and its subsequent optimization is an important topic in casting industry. Simulation-based optimization of casting processes requires consideration of these characteristics: Handling the numerical properties of the optimization problem and the demand for computational resources due to excessive runtime of simulation. In this paper, a distributed optimization algorithm is presented, integrating features from 'traditional', deterministic optimization algorithms, their parallel extensions and Genetic Algorithms. In order to answer the demand for computational resources, its implementation within a gridcomputing infrastructure is briefly discussed. Similarities between the aforementioned classes of algorithms allow their application within the same grid-based environment. Preliminary results from such an environment integrating optimization algorithm and a simulation code for metal casting are also presented. The developed framework and the application show that grid technology can be an important tool to utilize a variety of optimization techniques and the necessary resources for the optimization of industrial processes.
With the proliferation of gridcomputing, potentially vast computational resources are available for solving complex problems in science andengineering. However, writing, deploying, and testing e-Science applications...
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Extraordinary long lifecycles of many scientific applications commonly surpass multiple generations of grid technologies. Therefore the smooth adaptation and migration to newer environments remains as interesting rese...
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With the rapid evolution of web technology and Internet, the mathematical web has emerged as a new research trend, which changes the traditional manner of mathematical scientific researching, mathematical production s...
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The tradition standby mechanism can't carry out the dynamic Disaster Recovery of database between distributed isomeric storage systems, accordingly, research the method of allopatric isomeric backup based on grid ...
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Multicast Application Sharing Tool (MAST) allows geographically distributed participants to share arbitrary legacy applications. MAST supports scalable group to group collaboration by using Multicast. It is being used...
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