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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  4/2020 - 3

Fault Tolerant Distributed Python Software Transactional Memory

POPOVIC, M. See more information about POPOVIC, M. on SCOPUS See more information about POPOVIC, M. on IEEExplore See more information about POPOVIC, M. on Web of Science, BASICEVIC, I. See more information about  BASICEVIC, I. on SCOPUS See more information about  BASICEVIC, I. on SCOPUS See more information about BASICEVIC, I. on Web of Science, DJUKIC, M. See more information about  DJUKIC, M. on SCOPUS See more information about  DJUKIC, M. on SCOPUS See more information about DJUKIC, M. on Web of Science, POPOVIC, M. See more information about POPOVIC, M. on SCOPUS See more information about POPOVIC, M. on SCOPUS See more information about POPOVIC, M. on Web of Science
 
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Download PDF pdficon (1,217 KB) | Citation | Downloads: 600 | Views: 879

Author keywords
Internet of Things, embedded software, distributed computing, parallel programming, fault tolerance

References keywords
memory(29), transactional(28), distributed(23), software(18), systems(10), computing(9), kordic(8), python(7), romano(5), architecture(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-11-30
Volume 20, Issue 4, Year 2020, On page(s): 19 - 28
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.04003
Web of Science Accession Number: 000594393400003
SCOPUS ID: 85098215196

Abstract
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Much of the previous research has been done on distributed software transactional memories targeting data centers in Internet clouds, which resulted in nondeterministic and nonrealtime middleware solutions mainly written in Java and C++. On the other hand, embedded systems based on the Internet of Things at the edge of the Internet, such as smart homes, cars, etc., need to operate in realtime, and should, therefore, be deterministic. In order to be smart, these systems use machine learning, and nowadays Python is becoming a leading language in this venue, too. This is the first paper that presents a distributed software transactional memory that is at the same time: (i) fault tolerant, (ii) deterministic, (iii) based on Python, and (iv) extended from a formally verified root. The presented solution consists of a pair of master-slave transaction coordinators and a set of replicated data servers and targets small-to-medium edge networks. Besides intelligent embedded systems, based on the Internet of Things, it can be also used in a wide range of application domains, from SCADA systems to large-scale simulations. The experimental results, presented in the paper, show a superlinear growth of the system throughput as the workload changes from write-only to read-only.


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Cited-By CrossRef

[1] Formal Verification of Distributed Master-Slave Finite State Machine, Popovic, Marko, Marinkovic, Vladimir, Djukic, Miodrag, Popovic, Miroslav, 2021 29th Telecommunications Forum (TELFOR), ISBN 978-1-6654-2585-8, 2021.
Digital Object Identifier: 10.1109/TELFOR52709.2021.9653241
[CrossRef]

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