| Issue |
MATEC Web Conf.
Volume 125, 2017
21st International Conference on Circuits, Systems, Communications and Computers (CSCC 2017)
|
|
|---|---|---|
| Article Number | 02033 | |
| Number of page(s) | 4 | |
| Section | Systems | |
| DOI | https://doi.org/10.1051/matecconf/201712502033 | |
| Published online | 04 October 2017 | |
Using formal methods in distributed system design
University UTB, FAI department, Nad Stráněmi 4511, 760 05 Zlín, Czech Republic
* Corresponding author: lazar@fmk.utb.cz
Distributed systems are groups of networked computers, which have the same goal for their work. The terms “concurrent computing”, “parallel computing”, and “distributed computing” have a lot of overlap, and no clear distinction exists between them. The same system may be characterized both as “parallel” and “distributed”; the processors in a typical distributed system run concurrently in parallel. Parallel computing may be seen as a particular tightly coupled form of distributed computing, and distributed computing may be seen as a loosely coupled form of parallel computing. Nevertheless, it is possible to roughly classify concurrent systems as “parallel” or “distributed” using the following criteria. Philosophy is centrally concerned with arguments. The first question to be asked of any argument (or inference) is whether or not it is valid: that is, does its conclusion really follow from the cited premises? Validity of inference is the central problem of deductive logic.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.