Dynamic Resource Allocation Exploiting Mobility Prediction in Mobile Edge Computing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00304740" target="_blank" >RIV/68407700:21230/16:00304740 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/7794955/" target="_blank" >http://ieeexplore.ieee.org/document/7794955/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PIMRC.2016.7794955" target="_blank" >10.1109/PIMRC.2016.7794955</a>
Alternative languages
Result language
angličtina
Original language name
Dynamic Resource Allocation Exploiting Mobility Prediction in Mobile Edge Computing
Original language description
In 5G mobile networks, computing and communication converge into a single concept. This convergence leads to introduction of Mobile Edge Computing, where computing resources are distributed at the edge of mobile network, i.e., in base stations. This approach significantly reduces delay for computation of tasks offloaded from users' devices to cloud and reduces load of backhaul. However, due to users' mobility, optimal allocation of the computational resources at the base stations might change over time. The computational resources are allocated in a form of Virtual Machines (VM), which emulate a given computer system. User's mobility can be solved by VM migration, i.e., transfer of VM from one base station to another. Another option is to find a new communication path for exchange of data between the VM and the user. In this paper we propose an algorithm enabling flexible selection of communication path together with VM placement. To handle dynamicity of the system, we exploit prediction of users' movement. The prediction is used for dynamic VM placement and to find the most suitable communication path according to expected users' movement. Comparing to state of the art approaches, the proposal leads to reduction of the task offloading delay between 10% and 66% while energy consumed by user's equipment is kept at similar level. The proposed algorithm also enables higher arrival rate of the offloading requirements.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
—
Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
27th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
ISBN
978-1-5090-3254-9
ISSN
2166-9589
e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
IEEE Communications Society
Place of publication
Anchorage
Event location
Valencia
Event date
Sep 4, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000391598800404