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
Full text not available from this repository.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: | https://eprints.uklo.edu.mk/id/eprint/7100 |
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