Offloading Edge Vehicular Services in Realistic Urban Environments
The imminent deployment of 5G and the rapid development of multi-access edge computing standards are demanding advances in terms of vehicular low latency offloading design and modelling proposals. In this paper we describe the functionalities of a high-level multi-access edge computing orchestrator...
Gespeichert in:
| Veröffentlicht in: | IEEE access 2020, Vol.8, p.11491-11502 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 11502 |
|---|---|
| container_issue | |
| container_start_page | 11491 |
| container_title | IEEE access |
| container_volume | 8 |
| creator | Gilly, Katja Mishev, Anastas Filiposka, Sonja Alcaraz, Salvador |
| description | The imminent deployment of 5G and the rapid development of multi-access edge computing standards are demanding advances in terms of vehicular low latency offloading design and modelling proposals. In this paper we describe the functionalities of a high-level multi-access edge computing orchestrator that arranges location based vehicular edge services by the means of hierarchical dynamic resource management. In this way low latency responses can be guaranteed due to the geo-aware and energy efficient service allocation and dynamic migration. The first steps towards the definition of a vehicle to infrastructure communication specification are also provided. We study the efficiency of our proposal applied to an infotainment case study deployed in the city centre of Alicante, Spain. The simulation results obtained show that latencies perceived by vehicles generally range from optimal to first order sub-optimal scales all over the coverage area and that the presented offloading solution energetically scales with the number of hosts at the edge. |
| doi_str_mv | 10.1109/ACCESS.2020.2965258 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_8954726</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8954726</ieee_id><doaj_id>oai_doaj_org_article_587fa962857247c3b7030a584787f24c</doaj_id><sourcerecordid>2454732363</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-c856b70829e6c1cddf7ca83f31bf5cacc52060182bc1de44dc92c16cac5108b83</originalsourceid><addsrcrecordid>eNpNUMtqwzAQFKWFhjRfkIuhZ6d6WLJ8TI3bBgKBpulVyGs5VXDsVHIC_fsqdQjdyy47OzPLIDQleEYIzp7meV6s1zOKKZ7RTHDK5Q0aUSKymHEmbv_N92ji_Q6HkmHF0xF6XtV10-nKttuoqLYm-jRfFo6NdtHauJMF4yPbRu9GN9b3FqKNK3UbFe3Juq7dm7b3D-iu1o03k0sfo81L8ZG_xcvV6yKfL2NIsOxjkFyUKZY0MwIIVFWdgpasZqSsOWgATrHARNISSGWSpIKMAhEB4QTLUrIxWgy6Vad36uDsXrsf1Wmr_had2yrtwouNUVymtc4ElTylSQos-DKsuUzSANAEgtbjoHVw3ffR-F7tuqNrw_uKJjxJGWWChSs2XIHrvHemvroSrM7ZqyF7dc5eXbIPrOnAssaYK0NmQZYK9gsT-356</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2454732363</pqid></control><display><type>article</type><title>Offloading Edge Vehicular Services in Realistic Urban Environments</title><source>IEEE Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Freely accessible e-journals</source><creator>Gilly, Katja ; Mishev, Anastas ; Filiposka, Sonja ; Alcaraz, Salvador</creator><creatorcontrib>Gilly, Katja ; Mishev, Anastas ; Filiposka, Sonja ; Alcaraz, Salvador</creatorcontrib><description>The imminent deployment of 5G and the rapid development of multi-access edge computing standards are demanding advances in terms of vehicular low latency offloading design and modelling proposals. In this paper we describe the functionalities of a high-level multi-access edge computing orchestrator that arranges location based vehicular edge services by the means of hierarchical dynamic resource management. In this way low latency responses can be guaranteed due to the geo-aware and energy efficient service allocation and dynamic migration. The first steps towards the definition of a vehicle to infrastructure communication specification are also provided. We study the efficiency of our proposal applied to an infotainment case study deployed in the city centre of Alicante, Spain. The simulation results obtained show that latencies perceived by vehicles generally range from optimal to first order sub-optimal scales all over the coverage area and that the presented offloading solution energetically scales with the number of hosts at the edge.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2020.2965258</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>5G mobile communication ; City centres ; Computer architecture ; Edge computing ; Energy efficiency ; Location based services ; migration ; Mobile computing ; multi-access edge computing ; orchestration ; Proposals ; Resource management ; Urban areas ; Urban development ; Urban environments ; Urbanization ; Vehicle dynamics ; vehicular low latency offloading</subject><ispartof>IEEE access, 2020, Vol.8, p.11491-11502</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-c856b70829e6c1cddf7ca83f31bf5cacc52060182bc1de44dc92c16cac5108b83</citedby><cites>FETCH-LOGICAL-c408t-c856b70829e6c1cddf7ca83f31bf5cacc52060182bc1de44dc92c16cac5108b83</cites><orcidid>0000-0003-0034-2855 ; 0000-0003-3701-5583 ; 0000-0002-8985-0639 ; 0000-0001-7271-6655</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8954726$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2102,4024,27633,27923,27924,27925,54933</link.rule.ids></links><search><creatorcontrib>Gilly, Katja</creatorcontrib><creatorcontrib>Mishev, Anastas</creatorcontrib><creatorcontrib>Filiposka, Sonja</creatorcontrib><creatorcontrib>Alcaraz, Salvador</creatorcontrib><title>Offloading Edge Vehicular Services in Realistic Urban Environments</title><title>IEEE access</title><addtitle>Access</addtitle><description>The imminent deployment of 5G and the rapid development of multi-access edge computing standards are demanding advances in terms of vehicular low latency offloading design and modelling proposals. In this paper we describe the functionalities of a high-level multi-access edge computing orchestrator that arranges location based vehicular edge services by the means of hierarchical dynamic resource management. In this way low latency responses can be guaranteed due to the geo-aware and energy efficient service allocation and dynamic migration. The first steps towards the definition of a vehicle to infrastructure communication specification are also provided. We study the efficiency of our proposal applied to an infotainment case study deployed in the city centre of Alicante, Spain. The simulation results obtained show that latencies perceived by vehicles generally range from optimal to first order sub-optimal scales all over the coverage area and that the presented offloading solution energetically scales with the number of hosts at the edge.</description><subject>5G mobile communication</subject><subject>City centres</subject><subject>Computer architecture</subject><subject>Edge computing</subject><subject>Energy efficiency</subject><subject>Location based services</subject><subject>migration</subject><subject>Mobile computing</subject><subject>multi-access edge computing</subject><subject>orchestration</subject><subject>Proposals</subject><subject>Resource management</subject><subject>Urban areas</subject><subject>Urban development</subject><subject>Urban environments</subject><subject>Urbanization</subject><subject>Vehicle dynamics</subject><subject>vehicular low latency offloading</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUMtqwzAQFKWFhjRfkIuhZ6d6WLJ8TI3bBgKBpulVyGs5VXDsVHIC_fsqdQjdyy47OzPLIDQleEYIzp7meV6s1zOKKZ7RTHDK5Q0aUSKymHEmbv_N92ji_Q6HkmHF0xF6XtV10-nKttuoqLYm-jRfFo6NdtHauJMF4yPbRu9GN9b3FqKNK3UbFe3Juq7dm7b3D-iu1o03k0sfo81L8ZG_xcvV6yKfL2NIsOxjkFyUKZY0MwIIVFWdgpasZqSsOWgATrHARNISSGWSpIKMAhEB4QTLUrIxWgy6Vad36uDsXrsf1Wmr_had2yrtwouNUVymtc4ElTylSQos-DKsuUzSANAEgtbjoHVw3ffR-F7tuqNrw_uKJjxJGWWChSs2XIHrvHemvroSrM7ZqyF7dc5eXbIPrOnAssaYK0NmQZYK9gsT-356</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Gilly, Katja</creator><creator>Mishev, Anastas</creator><creator>Filiposka, Sonja</creator><creator>Alcaraz, Salvador</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-0034-2855</orcidid><orcidid>https://orcid.org/0000-0003-3701-5583</orcidid><orcidid>https://orcid.org/0000-0002-8985-0639</orcidid><orcidid>https://orcid.org/0000-0001-7271-6655</orcidid></search><sort><creationdate>2020</creationdate><title>Offloading Edge Vehicular Services in Realistic Urban Environments</title><author>Gilly, Katja ; Mishev, Anastas ; Filiposka, Sonja ; Alcaraz, Salvador</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-c856b70829e6c1cddf7ca83f31bf5cacc52060182bc1de44dc92c16cac5108b83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>5G mobile communication</topic><topic>City centres</topic><topic>Computer architecture</topic><topic>Edge computing</topic><topic>Energy efficiency</topic><topic>Location based services</topic><topic>migration</topic><topic>Mobile computing</topic><topic>multi-access edge computing</topic><topic>orchestration</topic><topic>Proposals</topic><topic>Resource management</topic><topic>Urban areas</topic><topic>Urban development</topic><topic>Urban environments</topic><topic>Urbanization</topic><topic>Vehicle dynamics</topic><topic>vehicular low latency offloading</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gilly, Katja</creatorcontrib><creatorcontrib>Mishev, Anastas</creatorcontrib><creatorcontrib>Filiposka, Sonja</creatorcontrib><creatorcontrib>Alcaraz, Salvador</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005–Present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gilly, Katja</au><au>Mishev, Anastas</au><au>Filiposka, Sonja</au><au>Alcaraz, Salvador</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Offloading Edge Vehicular Services in Realistic Urban Environments</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2020</date><risdate>2020</risdate><volume>8</volume><spage>11491</spage><epage>11502</epage><pages>11491-11502</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>The imminent deployment of 5G and the rapid development of multi-access edge computing standards are demanding advances in terms of vehicular low latency offloading design and modelling proposals. In this paper we describe the functionalities of a high-level multi-access edge computing orchestrator that arranges location based vehicular edge services by the means of hierarchical dynamic resource management. In this way low latency responses can be guaranteed due to the geo-aware and energy efficient service allocation and dynamic migration. The first steps towards the definition of a vehicle to infrastructure communication specification are also provided. We study the efficiency of our proposal applied to an infotainment case study deployed in the city centre of Alicante, Spain. The simulation results obtained show that latencies perceived by vehicles generally range from optimal to first order sub-optimal scales all over the coverage area and that the presented offloading solution energetically scales with the number of hosts at the edge.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2020.2965258</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-0034-2855</orcidid><orcidid>https://orcid.org/0000-0003-3701-5583</orcidid><orcidid>https://orcid.org/0000-0002-8985-0639</orcidid><orcidid>https://orcid.org/0000-0001-7271-6655</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2169-3536 |
| ispartof | IEEE access, 2020, Vol.8, p.11491-11502 |
| issn | 2169-3536 2169-3536 |
| language | eng |
| recordid | cdi_ieee_primary_8954726 |
| source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Freely accessible e-journals |
| subjects | 5G mobile communication City centres Computer architecture Edge computing Energy efficiency Location based services migration Mobile computing multi-access edge computing orchestration Proposals Resource management Urban areas Urban development Urban environments Urbanization Vehicle dynamics vehicular low latency offloading |
| title | Offloading Edge Vehicular Services in Realistic Urban Environments |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T18%3A55%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Offloading%20Edge%20Vehicular%20Services%20in%20Realistic%20Urban%20Environments&rft.jtitle=IEEE%20access&rft.au=Gilly,%20Katja&rft.date=2020&rft.volume=8&rft.spage=11491&rft.epage=11502&rft.pages=11491-11502&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2020.2965258&rft_dat=%3Cproquest_ieee_%3E2454732363%3C/proquest_ieee_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2454732363&rft_id=info:pmid/&rft_ieee_id=8954726&rft_doaj_id=oai_doaj_org_article_587fa962857247c3b7030a584787f24c&rfr_iscdi=true |