An Overview of Cloud Simulation Enhancement Using the Monte-Carlo Method

Bertot, Luke; Genaud, Stéphane; Gossa, Julien

doi:10.1109/ccgrid.2018.00064

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…Pada simulasi Monte Carlo ini modelnya dibangun berdasarkan sistem yang nyata dilapangan. Setiap variabel dalam model-modelnya tersebut mempunyai nilai yang memiliki dan mempunyai sebuah probabilitas [20].…”

Section: Pendahuluanunclassified

Pemodelan Simulasi dalam Pengoptimalan Penjualan Plastik HD Menggunakan Metode Monte Carlo

Rahayu¹,

Thoriq²,

Sapriadi³

2022

jidt

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Simulation modeling is used as a tool to see a picture of the company's condition in the future and as a forum for making a decision. Currently, sales are an important activity and a factor that must be considered in future planning. The purpose of sales is to bring profit or profit from products or services produced with good management. Simulation can help solve everyday problems such as existing problems, with simulation applications estimating the number of sales is very important. If someone can predict the number of sales, the cost of procurement and storage of goods can be minimized. From this, several parties can bring in profits as much as possible, and minimize losses. There are 18 sales sample data processed in this study, namely sales data from 2021 to 2022. Sales data is processed using the Monte Carlo method from January 2021 to June 2021 to predict results for July to December 2021. Then for July to December 2021 to predict the results for January to June 2022. The data is tested with various elements of probability using a random sample. A powerful numerical calculation tool by simulating statistical data, this simulation obtains accurate accuracy values from the observable physical form of the system. Implementation of calculations will be developed using an application-based system that will be built with the JAVA programming language. The test results that have been obtained in the form of the average number of product requests and average income will be used as an estimate of sales (state estimate) that can assist in making decisions based on the information that has been obtained. The data obtained has an accuracy rate of up to 80%.

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Section: Pendahuluanunclassified

Pemodelan Simulasi dalam Pengoptimalan Penjualan Plastik HD Menggunakan Metode Monte Carlo

Rahayu¹,

Thoriq²,

Sapriadi³

2022

jidt

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“…Penelitian ini menggunakan simulasi Monte Carlo dengan model sistem yang dibangun berdasarkan keadaan nyata dilapangan. Sehingga variabel dapat mempunyai nilai yang berdasarkan probabilitas [19] yang memebantu dalam penjaga kelangkaan stok.…”

Section: Pendahuluanunclassified

Prediksi Tingkat Penjualan Pupuk Urea dengan Metode Monte Carlo

Dari

2022

jidt

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The development of science and information technology over time is very rapid in today's era, one of which is the agricultural sector. In the agricultural sector, there are many things that utilize technology, such as shallot cultivation. The need for shallots is very high, so many farmers plant shallots. To produce shallots of good quality and have a high selling price, farmers provide nutrition for the shallots they plant. The nutrient that onions really need is urea fertilizer. The fluctuating need for fertilizer for each farmer results in the availability of fertilizer in Kiosks often experiencing shortages. This has an impact on the scarcity of the availability of urea fertilizer. So this research was carried out to predict the level of sales of urea fertilizer in maintaining the need for fertilizer for shallot plants at Kiosk Pak De. Fertilizer availability aims to prepare stocks to avoid scarcity at a later time. The method used in this study is the Monte Carlo Method. This method is a method that can predict based on repeated random sampling. This method can also be used in various aspects of imputation systems and prediction of missing data. The data used in this study are sales data for urea fertilizer from 2020 to 2021. Sales data for 2020 are used to predict sales for 2021 and sales data for 2021 are used to predict sales for 2022. The results obtained from this study are the prediction rate for in 2020 with an accuracy rate of 92% and an accuracy in 2021 of 92.25%. From these results it can be concluded that this method can help Kios Pak De in maintaining scarcity in the sale of urea fertilizer

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“…(1) Selection: Starting from the root node s 0 and continuing downwards, each downward operation selects an attack action from all possible attack actions of the current node s c . The selected attack action a is given as follows [22]…”

Section: Search Algorithmmentioning

confidence: 99%

“…In the case of multiple jamming signals, authors in [21] employed Monte Carlo method to analyze the radar monitoring performance under the interference environment. In [22], a simulation framework based on Monte Carlo method was proposed to help customers budget the cost of cloud computing services.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic situation analysis and judgment based on deep learning

Feng

Zheng

et al. 2021

IET Communications

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The electromagnetic situation, which can promote the abilities of understanding and decision-making for the battlefield, has attracted significant interest recently in information-based warfare. This paper investigates the deep learning-based electromagnetic situation analysis and judgment in a complicated battlefield environment. To comprehensively simulate the two-sided battling process, a turn-based confrontation strategy is proposed, and an electromagnetic situation analysis and judgment model are then designed based on the AlphaGo Zero algorithm to achieve efficient situation analysis and decisionmaking. In addition, an electromagnetic situation-based attack-defense platform is developed to realize and evaluate this designed model. Simulation results demonstrate that this designed model achieves significant performance in electromagnetic situation analysis and judgment compared with the Monte Carlo Tree Search based baseline. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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An Overview of Cloud Simulation Enhancement Using the Monte-Carlo Method

Cited by 6 publications

References 5 publications

Pemodelan Simulasi dalam Pengoptimalan Penjualan Plastik HD Menggunakan Metode Monte Carlo

Pemodelan Simulasi dalam Pengoptimalan Penjualan Plastik HD Menggunakan Metode Monte Carlo

Prediksi Tingkat Penjualan Pupuk Urea dengan Metode Monte Carlo

Electromagnetic situation analysis and judgment based on deep learning

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