Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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Schedulers are applications responsible for job management including resource allocation for a specific job, splitting them to ensure parallel task execution, data management, event correlation, and service-level management capabilities. When Grids allotted a number of jobs, such applications have to consider the overhead time, cost regarding to and from Grid resources, job transmission and at job processing, Grid resources for allocation of the jobs. In this paper, it is proposed to investigate the performance of dynamic scheduling algorithm of schedulers for executing different number of tasks is evaluated.
Radha.B. 1970. \u201cPerformance Evaluation of Dynamic Scheduling for Grid Systems\u201d. Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 13 (GJCST Volume 13 Issue B1): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Total Score: 107
Country: India
Subject: Global Journal of Computer Science and Technology - B: Cloud & Distributed
Authors: Radha.B, Dr.V.Sumathy (PhD/Dr. count: 1)
View Count (all-time): 273
Total Views (Real + Logic): 25911
Total Downloads (simulated): 11000
Publish Date: 1970 01, Thu
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Neural Networks and Rules-based Systems used to Find Rational and
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Schedulers are applications responsible for job management including resource allocation for a specific job, splitting them to ensure parallel task execution, data management, event correlation, and service-level management capabilities. When Grids allotted a number of jobs, such applications have to consider the overhead time, cost regarding to and from Grid resources, job transmission and at job processing, Grid resources for allocation of the jobs. In this paper, it is proposed to investigate the performance of dynamic scheduling algorithm of schedulers for executing different number of tasks is evaluated.
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