Fractal-Based N-Environment Multiagent IoT System Reliability
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00376209" target="_blank" >RIV/68407700:21230/24:00376209 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/JIOT.2024.3398406" target="_blank" >https://doi.org/10.1109/JIOT.2024.3398406</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/JIOT.2024.3398406" target="_blank" >10.1109/JIOT.2024.3398406</a>
Alternative languages
Result language
angličtina
Original language name
Fractal-Based N-Environment Multiagent IoT System Reliability
Original language description
The tremendous growth of Internet of Things (IoT) systems and the popularity of distributed systems, which were brought back into fashion by containerization, create new challenges for system maintenance. Each IoT-specific service is characterized by a specific domain, or environment, making the maintenance of distributed IoT systems with dozens of agents a challenging task. This article proposes a fractal-based mathematical model, called the fractal multiagent IoT system (FMAIS), for scalable multiagent systems (e.g., cloud-native services, wide-scale IoT services). A reliability estimation model called the multienvironment enhanced real-time customer-oriented reliability estimation (ME-ERT-CORE) model is proposed as a method for estimating the reliability of a multiagent IoT system, where each agent can be specified by its own domain-specific environment (e.g., healthcare, logistics, smart factories, etc.). An estimation of the time complexity of the FMAIS is performed, and a model called ME-ERT-CORE for estimating its reliability is formulated. The results show that the FMAIS can be used for real-time simulations of system behavior and ME-ERT-CORE can be used for the real-time estimation of its reliability, monitoring purposes, and, for instance, Quality-of-Service (QoS) descriptions based on service level agreement (SLA) requirements. The conducted measurements show that the reliability of the FMAIS with four layers and 96 applications, where each application deploys 96 instances, can be computed in 8.022 ms. With the proposed optimization method, the reliability for the same FMAIS can be computed in 0.219 ms, which is 36 times faster than the ME-ERT-CORE reliability evaluation based on the definition. An FMAIS with the aforementioned parameters can be simulated in 84.300 ms.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Internet of Things Journal
ISSN
2327-4662
e-ISSN
2327-4662
Volume of the periodical
11
Issue of the periodical within the volume
16
Country of publishing house
US - UNITED STATES
Number of pages
17
Pages from-to
27463-27479
UT code for WoS article
001291138800011
EID of the result in the Scopus database
2-s2.0-85192973477