An analytics-based envelope neural net approach to forecasting memory leakage in an enterprise applications environment

Nitin Khosla, D Sharma

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

This paper investigates a model to forecast memory-leak behavior in a big applications environment with short time frames, using neural networks. This process predicts the likelihood of a memory leakage in an IT infrastructure, with large number of enterprise applications running in a real world, while analyzing the work-load demand patterns hidden in the transactional data of the enterprise applications. This approach generates synthetic workload profiles and then based upon extracted insights, predict memory leakage behavior under peak load and stress conditions. The approach is investigated also for capacity tuning of the existing infrastructure and future planning of the required infrastructure. Co-learning, is used to train models and their use in analyzing the workload patterns. The workload prediction has enormous potential to optimize resources with minimal risk.
Original languageEnglish
Title of host publicationInternational Conference on Innovation in Modern Science and Technology (ICIMSAT 2019): Intelligent Techniques and Applications in Science and Technology
Subtitle of host publicationLearning and Analytics in Intelligent Systems
EditorsSubhojit Dawn, Valentina Balas, Anna Esposito, Sadhan Gope
Place of PublicationSwitzerland
PublisherSpringer
Pages66-74
Number of pages9
Volume12
ISBN (Electronic)9783030423636
ISBN (Print)9783030423629
DOIs
Publication statusPublished - 3 Mar 2020
EventInternational Conference on Innovation in Modern Science and Technology - , India
Duration: 20 Sep 201921 Sep 2019
https://www.icimsat2019.com/

Publication series

NameIntelligent Techniques and Applications in Science and Technology
PublisherSpringer
Volume12
ISSN (Print)2662-3447
ISSN (Electronic)2662-3455

Conference

ConferenceInternational Conference on Innovation in Modern Science and Technology
Abbreviated titleICIMSAT 2019
CountryIndia
Period20/09/1921/09/19
Internet address

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