A green energy model for resource allocation in computational grid using dynamic threshold and GA

Kaushik, Achal; Vidyarthi, Deo Prakash

doi:10.1016/j.suscom.2016.01.001

Cited by 2 publications

(2 citation statements)

References 34 publications

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“…Another strategy to impose a power constraint is to act on the job execution order alone, without requiring any hardware modification nor any change in the operational frequencies of the computing nodes. Most of the research works belonging to this category are more focused on minimizing the energy consumption and/or the related energy costs [33,34,35,36] rather than enforcing a power cap. Furthermore, they are more related to data centers and federated grids field, therefore the proposed techniques are not directly comparable with our approach to curtail the power consumption of HPC machines under a threshold.…”

Section: Proactive/heuristic Techniquesmentioning

confidence: 99%

Scheduling-based power capping in high performance computing systems

Borghesi

Bartolini

Lombardi

et al. 2018

Sustainable Computing: Informatics and Systems

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Section: Proactive/heuristic Techniquesmentioning

confidence: 99%

Scheduling-based power capping in high performance computing systems

Borghesi

Bartolini

Lombardi

et al. 2018

Sustainable Computing: Informatics and Systems

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“…Equally, a compromise programming method was employed to trade off the economic benefit efficiency and equity in the water allocation problems (Hu et al, 2016). Kaushik and Vidyarthi (2016) implemented the energy saving mechanism by using a dynamic threshold method, followed by the genetic algorithm (GA). Shabtay et al (2016) developed a pseudo-polynomial algorithm and a fully polynomial time approximation scheme to minimize the total weighted number of tardy jobs plus due date assignment costs subject to an upper bound on the total weighted resource consumption.…”

Section: Introductionmentioning

confidence: 99%

Limited public resources allocation model based on social fairness using an extended VIKOR method

Jiang

2016

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Article information:To cite this document: Wenqi Jiang, (2016) "Limited public resources allocation model based on social fairness using an extended VIKOR method", Kybernetes, Vol. 45 Issue: 7, pp.998-1012, https For AuthorsIf you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. Limited public resources allocation model based on social fairness using an extended VIKOR method Wenqi JiangNanjing University of Science and Technology, Nanjing, China Abstract Purpose -Different from manufacturing resources allocation problems, the prices and amounts of limited public service resources could not be changed with the consumers' requirements and social fairness is the most important objective for improving allocation efficiency. To measure social fairness reasonably, the purpose of this paper is fourfold: first, divide social fairness into longitudinal comparative fairness and crosswise comparative fairness, therefore providing their calculation formula and describing the comprehensive fair degree by using the interval numbers. Second, the comparison regulations of interval numbers are given and the corresponding features are also described. Third, an extension of VIKOR method is put forward for evaluating social fairness of different allocation alternatives with interval numbers. Finally, a numerical example illustrates the proposed method and clarifies the main results developed in the paper. Design/methodology/approach -In this paper, the author depicts the social fair degree as an interval number, and thus proposes the comparison method between any two interval numbers. Based on the basis procedure of the VIKOR method, the paper proposes an extension of the fuzzy VIKOR method with the interval numbers to rank and select the compromise allocation alternatives. Finally, a numerical example illustrates the practicability of the proposed method.Findings -The comparison of interval numbers is very important when the author evaluates the decision alternatives. Through analyzing the present comparison methods, the paper proposes the simple method of comparing the interval numbers, which can obtain the same results with the above two methods. The fuzzy VIKOR method, a popular multi-...

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A green energy model for resource allocation in computational grid using dynamic threshold and GA

Cited by 2 publications

References 34 publications

Scheduling-based power capping in high performance computing systems

Scheduling-based power capping in high performance computing systems

Limited public resources allocation model based on social fairness using an extended VIKOR method

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