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Deep Neural Network Based Application Capacity Analysis in Finance System

Published: 06 September 2021 Publication History

Abstract

The goal of system capacity analysis is to understand the current capacity usage and forecast future capacity impact based on various business scenarios. The successful capacity analysis is the key to identify the system bottleneck and plan for better resource allocation. However, IT systems for finance company are inherently large and complex with numerous interfaces with other systems. Thus, identifying and selecting a good model to describe the system interdependence from capacity perspective is important but challenging problem. In our paper, we first define the problem we want to solve. We discuss 2 approaches as baselines. Then we propose DNN based multiple linear regression, which is more efficient for complex finance systems. We collected 12 months real production volume data as our dataset. The experiment shows our proposed model can give a better performance compared with baseline approaches. Unlike other research papers, our proposal focuses to solve problem in real finance industry.

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  • (2023)Deep Neural Network Based Daily Volume Prediction in Finance System2023 International Conference on Artificial Intelligence and Power Engineering (AIPE)10.1109/AIPE58786.2023.00017(56-60)Online publication date: 20-Oct-2023

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cover image ACM Other conferences
ICMLT '21: Proceedings of the 2021 6th International Conference on Machine Learning Technologies
April 2021
183 pages
ISBN:9781450389402
DOI:10.1145/3468891
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 September 2021

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Author Tags

  1. capacity analysis
  2. deep neural network
  3. machine learning
  4. multiple linear regression

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  • (2023)Deep Neural Network Based Daily Volume Prediction in Finance System2023 International Conference on Artificial Intelligence and Power Engineering (AIPE)10.1109/AIPE58786.2023.00017(56-60)Online publication date: 20-Oct-2023

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