2019Unpublished venueRequires access

Grid Resource Allocation and Management Algorithm Based on Optimized Multi-task Target Decision

Weiwei Guo, Feng Liu, Zexi Chen, Yulong Li

Open publisher page 9 citations

Abstract

In order to solve the problems of poor efficiency and low accuracy of resource allocation in current grid resource allocation management, a grid resource allocation management algorithm based on optimized multi-task target decision-making is proposed. By introducing the multi-task target feature approach decision-making algorithm, the grid resource feature parameters and ideal points of allocation path are accurately calculated so as to obtain standardized selection parameters of multi-task target allocation vectors and accurately decide any allocation path of multi-target resources according to the selection parameters. At the same time, with the help of grid hierarchical model, the optimal management mode is adopted to realize the resource allocation and management of multi-task and multi-objective decision-making grid. Experiments show that The algorithm effectively improves the efficiency of resource allocation and improves accuracy, the accuracy of grid resource allocation management algorithm based on optimized multi-task decision-making is more than 40% higher than the traditional algorithm, and the resource allocation approach is smoother, effectively improving the efficiency of resource allocation management.

About this research paper

What this paper is about

In order to solve the problems of poor efficiency and low accuracy of resource allocation in current grid resource allocation management, a grid resource allocation management algorithm based on optimized multi-task target decision-making is proposed. By introducing the multi-task target feature approach decision-making algorithm, the grid resource feature parameters and ideal points of allocation path are accurately calculated so as to obtain standardized selection parameters of multi-task target allocation vectors and accurately decide any allocation path of multi-target resources according to the selection parameters. At the same time, with the help of grid hierarchical model, the optimal management mode is adopted to realize the resource allocation and management of multi-task and multi-objective decision-making grid. Experiments show that The algorithm effectively improves the efficiency of resource allocation and improves accuracy, the accuracy of grid resource allocation management algorithm based on optimized multi-task decision-making is more than 40% higher than the traditional algorithm, and the resource allocation approach is smoother, effectively improving the efficiency of resource allocation management.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In order to solve the problems of poor efficiency and low accuracy of resource allocation in current grid resource allocation management, a grid resource allocation management algorithm based on optimized multi-task target decision-making is proposed. By introducing the multi-task target feature approach decision-making algorithm, the grid resource feature parameters and ideal points of allocation path are accurately calculated so as to obtain standardized selection parameters of multi-task target allocation vectors and accurately decide any allocation path of multi-target resources according to the selection parameters. At the same time, with the help of grid hierarchical model, the optimal management mode is adopted to realize the resource allocation and management of multi-task and multi-objective decision-making grid. Experiments show that The algorithm effectively improves the efficiency of resource allocation and improves accuracy, the accuracy of grid resource allocation management algorithm based on optimized multi-task decision-making is more than 40% higher than the traditional algorithm, and the resource allocation approach is smoother, effectively improving the efficiency of resource allocation management.

Key concepts: Resource allocation, Computer science, Resource management (computing), Grid, Task (project management), Path (computing), Grid computing, Selection (genetic algorithm)

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