Dynamic Allocation of Computing and Communication Resources in Multi-Access Edge Computing for Mobile Users
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00350152" target="_blank" >RIV/68407700:21230/21:00350152 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/TNSM.2021.3072433" target="_blank" >https://doi.org/10.1109/TNSM.2021.3072433</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TNSM.2021.3072433" target="_blank" >10.1109/TNSM.2021.3072433</a>
Alternative languages
Result language
angličtina
Original language name
Dynamic Allocation of Computing and Communication Resources in Multi-Access Edge Computing for Mobile Users
Original language description
The Multi-Access Edge Computing (MEC) constitutes computing over virtualized resources distributed at the edge of mobile network. For mobile users, an optimal allocation of communication and computing resources changes over time and space, and the resource allocation becomes a complex problem. Moreover, for delay constrained applications, the resource allocation to mobile users cannot be solved by approaches designed for static users, as a solution would not be obtained within a desired time. Thus, in this paper, we propose a low-complexity computing and communication resource allocation for offloading of real-time computing tasks generated with a high arrival rate by the mobile users. We exploit probabilistic modeling of the users’ movement to pre-allocate the computing resources at base stations and to select suitable communication paths between the users and the base station with the pre-allocated computing resources. The simulations show that the proposed algorithm keeps the offloading delay below 100 ms for the small tasks even with the arrival rate of five tasks per second per user, while the state-of-the-art algorithms can handle only up to 0.5 tasks per second per user. Thus, the proposal enables an exploitation of the MEC for various real-time applications even if the users are moving.
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
20202 - Communication engineering and systems
Result continuities
Project
<a href="/en/project/LTT18007" target="_blank" >LTT18007: Cooperation with the International Research Centre in Area of Communication Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Network and Service Management
ISSN
1932-4537
e-ISSN
1932-4537
Volume of the periodical
2021
Issue of the periodical within the volume
18
Country of publishing house
US - UNITED STATES
Number of pages
18
Pages from-to
2089-2106
UT code for WoS article
000660636700069
EID of the result in the Scopus database
2-s2.0-85104234818