SMRETO: Stable Matching for Reliable and Efficient Task Offloading in Fog-enabled IoT Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10250579" target="_blank" >RIV/61989100:27240/22:10250579 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85140765274&origin=resultslist&sort=plf-f&src=s&sid=10a9f7d31495b1dea273218045886289&sot=a&sdt=a&sl=38&s=AU-ID%2857014879400%29+AND+PUBYEAR+IS+2022&relpos=8&citeCnt=0&searchTerm=" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85140765274&origin=resultslist&sort=plf-f&src=s&sid=10a9f7d31495b1dea273218045886289&sot=a&sdt=a&sl=38&s=AU-ID%2857014879400%29+AND+PUBYEAR+IS+2022&relpos=8&citeCnt=0&searchTerm=</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACCESS.2022.3215555" target="_blank" >10.1109/ACCESS.2022.3215555</a>
Alternative languages
Result language
angličtina
Original language name
SMRETO: Stable Matching for Reliable and Efficient Task Offloading in Fog-enabled IoT Networks
Original language description
Fog computing is a key technology that supports timely and efficient computation of different tasks in IoT networks. By using the nearby fog nodes for quick task computation, application related decisions by IoT devices can be taken within the delay requirements. Resource allocation in terms of task placement on the free computing resources of the fog nodes is a major challenge in IoT networks. In this paper, we consider task offloading from IoT devices to the logically partitioned fog computing resources known as Virtual Resource Units (VRUs) to reduce the number of task outages and energy consumption of the IoT and fog nodes. We propose a two phased task offloading algorithm to minimize the number of task outages. In the first phase, we utilize the task deadline to compute the minimum number of resources required for a task from the fog nodes. To meet the heterogeneous task computing requirements, we introduce the concept of variable sized VRUs in the fog nodes. Moreover, we propose a modified Deferred Acceptance Algorithm (DAA) for stable matching between IoT tasks and variable sized VRUs. In the second phase of the algorithm, the unmatched fog node resources are distributed among the previously matched IoT tasks. Simulation results show that the proposed algorithm outperforms available techniques in the literature in terms of task outages and energy efficiency.
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
20200 - Electrical engineering, Electronic engineering, Information engineering
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
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Volume of the periodical
10
Issue of the periodical within the volume
2022
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
1-12
UT code for WoS article
000873684100001
EID of the result in the Scopus database
2-s2.0-85140765274