Resource Efficient Real-time Reliability Model for Multi-Agent IoT Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00353949" target="_blank" >RIV/68407700:21230/22:00353949 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ACCESS.2021.3138931" target="_blank" >https://doi.org/10.1109/ACCESS.2021.3138931</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2021.3138931" target="_blank" >10.1109/ACCESS.2021.3138931</a>
Alternative languages
Result language
angličtina
Original language name
Resource Efficient Real-time Reliability Model for Multi-Agent IoT Systems
Original language description
Rising demand for the integration of IoT services in cloud computing has brought cloud- native principles (e.g., system automation, loosely coupled services, etc.) to the edge of the network. A fundamental element of the cloud-native approach is a microservice — an instance, which is usually virtualised, serving for only a defined purpose. Virtualised microservices are mostly used in cloud-based IoT systems, which can be covered with multi-agent system (MAS) paradigm. The maintenance of a MAS requires a constant monitoring to track the system state and to satisfy the service level agreement (SLA) (or any other) requirements. This paper presents a resource efficient reliability model for MAS IoT systems for monitoring purposes. First, we provide a thorough mathematical analysis to describe the generic system model and its elements. This model takes into account SLA requirements and it is characterised with linear time complexity, simplicity of computations and input metrics (e.g., combination of SLA for CPU and its workload), where all of the input data are aligned to the same range. Then, we evaluate time complexity and provide a measurement to demonstrate the reliability of the model application. The results show that the proposed model is efficient for large number of the IoT agents. It is approximately 98 times faster in AQ:4 computation with 1,000 systems and 51 times faster in computations with 1,000 systems.
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
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Access
ISSN
2169-3536
e-ISSN
2169-3536
Volume of the periodical
10
Issue of the periodical within the volume
December
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
2578-2590
UT code for WoS article
000739980100001
EID of the result in the Scopus database
2-s2.0-85122323953