Petri Net-Based Model of Master/Slave Dataset Replication in Big Data

Hristoski, Ilija and Tome Dimovski, St Kliment Ohridski University –Bitola (2022) Petri Net-Based Model of Master/Slave Dataset Replication in Big Data. In: New Technologies, Development and Application V. Springer International Publishing/Springer Nature Switzerland AG, Springer International Publishing/Springer Nature Switzerland AG, pp. 505-512. ISBN 978-3-031-05230-9

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Official URL: https://link.springer.com/book/10.1007/978-3-031-0...

Abstract

In today’s corporateworld, the Big Data paradigm assists organizations in harnessing their plentiful data in their never-ending pursuit for new business possibilities. The main problem that such businesses have is keeping Big Data infrastructure performant, scalable, dependable, and accessible. All of these issues are often solved by implementing fault-tolerant systems. Dataset replication is one of the critical procedures that must be performed regularly to increase system resilience. The purpose of this work is to propose a performance model regarding the execution of reading and writing operations found in one of the most used Big Data replication architectures, the Master/Slave architecture, which is based on the usage of the class of Generalized Stochastic Petri Nets. Such a model may be used for performance analysis to acquire various performance metrics concerning different working scenarios with varying input parameters.

Item Type: Book Section
Subjects: Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions: Faculty of Information and Communication Technologies
Depositing User: Prof. d-r. Tome Dimovski
Date Deposited: 09 Sep 2022 09:02
Last Modified: 09 Sep 2022 09:02
URI: http://eprints.uklo.edu.mk/id/eprint/7100

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