Supporting Location Transparent Services in a Mobile Edge Computing Environment
Emerging models such as mobile edge computing provide the necessary characteristics for the deployment of Internet of Things applications by supplying the connected devices with local computing facilities essential for latency sensitive applications. One of the major issues of the underlying edge...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Stefan cel Mare University of Suceava
2018-11-01
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Series: | Advances in Electrical and Computer Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.4316/AECE.2018.04002 |
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author | GILLY, K. FILIPOSKA, S. MISHEV, A. |
author_facet | GILLY, K. FILIPOSKA, S. MISHEV, A. |
author_sort | GILLY, K. |
collection | DOAJ |
description | Emerging models such as mobile edge computing provide the necessary characteristics for the deployment
of Internet of Things applications by supplying the connected devices with local computing facilities
essential for latency sensitive applications. One of the major issues of the underlying edge computing
architecture is to cope with the device mobility that imposes dynamically changing network requirements.
In this paper, we propose a resource management approach that aims to improve the location transparency
and provide high quality of experience for end users by optimising latencies perceived when nodes are
accessing services hosted on the edge of the network. By managing the virtualised computing resources
based on the node location area information, the main objective of the approach is to minimise the
network latency perceived by mobile nodes for both the initial allocation and the dynamic resource
migration during the service lifetime while the requester node is changing location areas. The system
is trying to achieve the most accurate 'follow me' service where the assigned resources closely follow
the current mobile node location. The presented results show the effectiveness of the proposed solution
in comparison to traditional resource management techniques on the macro and micro scale. |
first_indexed | 2024-12-21T13:15:42Z |
format | Article |
id | doaj.art-0fd4beb6e9504e0298d5f7ff54db3f62 |
institution | Directory Open Access Journal |
issn | 1582-7445 1844-7600 |
language | English |
last_indexed | 2024-12-21T13:15:42Z |
publishDate | 2018-11-01 |
publisher | Stefan cel Mare University of Suceava |
record_format | Article |
series | Advances in Electrical and Computer Engineering |
spelling | doaj.art-0fd4beb6e9504e0298d5f7ff54db3f622022-12-21T19:02:43ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002018-11-01184112210.4316/AECE.2018.04002Supporting Location Transparent Services in a Mobile Edge Computing EnvironmentGILLY, K.FILIPOSKA, S.MISHEV, A.Emerging models such as mobile edge computing provide the necessary characteristics for the deployment of Internet of Things applications by supplying the connected devices with local computing facilities essential for latency sensitive applications. One of the major issues of the underlying edge computing architecture is to cope with the device mobility that imposes dynamically changing network requirements. In this paper, we propose a resource management approach that aims to improve the location transparency and provide high quality of experience for end users by optimising latencies perceived when nodes are accessing services hosted on the edge of the network. By managing the virtualised computing resources based on the node location area information, the main objective of the approach is to minimise the network latency perceived by mobile nodes for both the initial allocation and the dynamic resource migration during the service lifetime while the requester node is changing location areas. The system is trying to achieve the most accurate 'follow me' service where the assigned resources closely follow the current mobile node location. The presented results show the effectiveness of the proposed solution in comparison to traditional resource management techniques on the macro and micro scale.http://dx.doi.org/10.4316/AECE.2018.04002context-aware serviceshandovermobile nodesresource managementwireless networks |
spellingShingle | GILLY, K. FILIPOSKA, S. MISHEV, A. Supporting Location Transparent Services in a Mobile Edge Computing Environment Advances in Electrical and Computer Engineering context-aware services handover mobile nodes resource management wireless networks |
title | Supporting Location Transparent Services in a Mobile Edge Computing Environment |
title_full | Supporting Location Transparent Services in a Mobile Edge Computing Environment |
title_fullStr | Supporting Location Transparent Services in a Mobile Edge Computing Environment |
title_full_unstemmed | Supporting Location Transparent Services in a Mobile Edge Computing Environment |
title_short | Supporting Location Transparent Services in a Mobile Edge Computing Environment |
title_sort | supporting location transparent services in a mobile edge computing environment |
topic | context-aware services handover mobile nodes resource management wireless networks |
url | http://dx.doi.org/10.4316/AECE.2018.04002 |
work_keys_str_mv | AT gillyk supportinglocationtransparentservicesinamobileedgecomputingenvironment AT filiposkas supportinglocationtransparentservicesinamobileedgecomputingenvironment AT misheva supportinglocationtransparentservicesinamobileedgecomputingenvironment |