A generic formal model for the comparison and analysis of distributed job-scheduling algorithms in grid environment

Hafaiedh, Imene Ben

doi:10.1016/j.jpdc.2019.05.002

Cited by 5 publications

(1 citation statement)

References 29 publications

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“…However, due to the shortcomings of MPI's own data storage and processing, which are independent and cannot deal with node failures, the parallel PSO algorithm implemented by MPI model is used. The practicality is much weaker [3]. Although DC makes full use of network computing power, distributed parallel computing needs to have good scalability to improve the performance of parallel computing.…”

Section: Introductionmentioning

confidence: 99%

Distributed Computing Model Based on Three-layer B/S Mode

2021

DPS

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With the rapid development of the Internet, the amount and form of data in various industries are becoming increasingly large and complex. The crazy growth of data volume increases the value of data mining, but also brings difficulties to professionals and scholars engaged in data mining. At this time, it is necessary to divide a computing task into multiple task nodes through a distributed computing(DC) method, and then the computer can greatly improve the computing efficiency by participating in the computing process. In this paper, a DC model based on the three-layer B/S mode is built on the Hadoop platform. In order to verify the performance of the model, the performance of the model is evaluated by indicators such as SR, ACC, and ITR. Through two sets of comparative experiments to analyze the effect of the DC mechanism, the experiments show that the SP value and ITR value of the model under parallel computing are improved, and after the WAFE, the improvement effect of ITR is more obvious.

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Section: Introductionmentioning

confidence: 99%