Joint Optimization Strategy of Computation Offloading and Resource Allocation in Multi-Access Edge Computing Environment

In order to help user terminal devices (UTDs) efficiently handle computation-intensive and time-delay sensitive computing task, multi-access edge computing (MEC) has been proposed. However, due to the differences among the performance of UTDs, and the resource limitation of MEC servers, the joint op...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on vehicular technology Jg. 69; H. 9; S. 10214 - 10226
Hauptverfasser:	Li, Huilin, Xu, Haitao, Zhou, Chengcheng, Lu, Xing, Han, Zhu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.09.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Computation offloading Delays Edge computing Energy conservation Energy consumption genetic algorithm Genetic algorithms MEC MINP Mixed integer Mobile computing Nonlinear programming Optimization Power consumption Resource allocation Resource management Servers Task analysis
ISSN:	0018-9545, 1939-9359
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Abstract	In order to help user terminal devices (UTDs) efficiently handle computation-intensive and time-delay sensitive computing task, multi-access edge computing (MEC) has been proposed. However, due to the differences among the performance of UTDs, and the resource limitation of MEC servers, the joint optimization between the offloading decisions of UTDs and the allocation of resources in network is still a focus of the research. This paper studies the joint computation offloading and resource allocation strategy in multi-user and multi-server scenarios. Firstly, we formulate the joint optimization problem of computation offloading and resource allocation as a mixed integer nonlinear programming (MINP) problem to minimize the energy consumption of UTDs, by constraining the offloading decision, channel selection, power allocation and resource allocation. Secondly, we propose a two-stage heuristic optimization algorithm based on genetic algorithms, which divides the joint optimization problem of computation offloading and resource allocation in two stages. Based on the coupling relationship between the offloading decision and the resource allocation scheme, we iteratively update the solution of the problem, and finally obtain the stable convergence solution of the optimization problem. Finally, the proposed algorithm is compared with other classical methods to prove the effectiveness.
AbstractList	In order to help user terminal devices (UTDs) efficiently handle computation-intensive and time-delay sensitive computing task, multi-access edge computing (MEC) has been proposed. However, due to the differences among the performance of UTDs, and the resource limitation of MEC servers, the joint optimization between the offloading decisions of UTDs and the allocation of resources in network is still a focus of the research. This paper studies the joint computation offloading and resource allocation strategy in multi-user and multi-server scenarios. Firstly, we formulate the joint optimization problem of computation offloading and resource allocation as a mixed integer nonlinear programming (MINP) problem to minimize the energy consumption of UTDs, by constraining the offloading decision, channel selection, power allocation and resource allocation. Secondly, we propose a two-stage heuristic optimization algorithm based on genetic algorithms, which divides the joint optimization problem of computation offloading and resource allocation in two stages. Based on the coupling relationship between the offloading decision and the resource allocation scheme, we iteratively update the solution of the problem, and finally obtain the stable convergence solution of the optimization problem. Finally, the proposed algorithm is compared with other classical methods to prove the effectiveness.
Author	Lu, Xing Han, Zhu Xu, Haitao Li, Huilin Zhou, Chengcheng
Author_xml	– sequence: 1 givenname: Huilin orcidid: 0000-0003-3628-8299 surname: Li fullname: Li, Huilin email: 18813176122@163.com organization: Department of Communication Engineering, University of Science and Technology Beijing (USTB), Beijing, China – sequence: 2 givenname: Haitao orcidid: 0000-0002-3664-3097 surname: Xu fullname: Xu, Haitao email: alex_xuht@hotmail.com organization: Department of Communication Engineering, University of Science and Technology Beijing (USTB), Beijing, China – sequence: 3 givenname: Chengcheng surname: Zhou fullname: Zhou, Chengcheng email: czho9311@163.com organization: Department of Communication Engineering, University of Science and Technology Beijing (USTB), Beijing, China – sequence: 4 givenname: Xing orcidid: 0000-0003-2279-2021 surname: Lu fullname: Lu, Xing email: XLV@bjtu.edu.cn organization: School of Science, Beijing Jiaotong University, Beijing, China – sequence: 5 givenname: Zhu orcidid: 0000-0002-6606-5822 surname: Han fullname: Han, Zhu email: zhan2@uh.edu organization: Electrical and Computer Engineering Department, University of Houston, Houston, TX, USA
BookMark	eNp9kM9LwzAUx4NMcE7vgpeA584kbdrkOMb8xWSg02to02RktEltMnH-9WZ0ePDg6fEe3897yeccjKyzCoArjKYYI367fl9PCSJomiKUMs5OwBjzlCc8pXwExghhlnCa0TNw7v02tlnG8Rh8PTljA1x1wbTmuwzGWfga-jKozR46Deeu7XZhmK-0blxZG7uBpa3hi_Ju10sFZ03j5BAxFj7vmmCSmZTKe7ioN-q444At7KfpnW2VDRfgVJeNV5fHOgFvd4v1_CFZru4f57NlIlNahIRqzitG4yc0Swsqlcx1nRFaZnXOGKnyosIylgoVtSoKQkmFsUS0LijGmtN0Am6GvV3vPnbKB7GNr7bxpCBZzDBOeRZTaEjJ3nnfKy263rRlvxcYiYNfEf2Kg19x9BuR_A8izSAq6jPNf-D1ABql1O8djgnJcJ7-AJe9iyA
CODEN	ITVTAB
CitedBy_id	crossref_primary_10_1038_s41598_025_02274_7 crossref_primary_10_1109_JIOT_2022_3164441 crossref_primary_10_1109_ACCESS_2022_3140663 crossref_primary_10_1109_TNSM_2023_3319294 crossref_primary_10_1109_TVT_2025_3532648 crossref_primary_10_1007_s11761_024_00419_6 crossref_primary_10_1007_s12083_024_01693_z crossref_primary_10_1109_TII_2022_3193900 crossref_primary_10_1109_TITS_2024_3409367 crossref_primary_10_1109_TWC_2023_3291198 crossref_primary_10_1007_s10479_021_04443_z crossref_primary_10_1155_2021_9732171 crossref_primary_10_1109_TMC_2024_3496918 crossref_primary_10_3390_electronics12071655 crossref_primary_10_1016_j_adhoc_2023_103373 crossref_primary_10_1109_JIOT_2022_3233667 crossref_primary_10_1109_TVT_2023_3289236 crossref_primary_10_1016_j_comcom_2022_07_048 crossref_primary_10_1109_JIOT_2023_3294887 crossref_primary_10_3390_pr8101324 crossref_primary_10_1007_s11227_024_06176_9 crossref_primary_10_1109_TVT_2024_3352262 crossref_primary_10_26599_TST_2024_9010055 crossref_primary_10_3390_s23031601 crossref_primary_10_1007_s12083_022_01385_6 crossref_primary_10_1007_s00521_023_08527_8 crossref_primary_10_1109_TGCN_2023_3234263 crossref_primary_10_7717_peerj_cs_1239 crossref_primary_10_1109_JIOT_2021_3116108 crossref_primary_10_3390_s23104682 crossref_primary_10_1155_2021_5557138 crossref_primary_10_1109_TVT_2023_3332905 crossref_primary_10_1631_FITEE_2100331 crossref_primary_10_1016_j_comnet_2021_108352 crossref_primary_10_1016_j_comnet_2024_110802 crossref_primary_10_1016_j_future_2025_107937 crossref_primary_10_1109_TMC_2023_3268048 crossref_primary_10_1109_TVT_2023_3235520 crossref_primary_10_1002_int_22841 crossref_primary_10_1007_s11277_025_11760_0 crossref_primary_10_1007_s10586_022_03768_z crossref_primary_10_1145_3544969 crossref_primary_10_3390_math12233820 crossref_primary_10_1109_JIOT_2024_3491180 crossref_primary_10_1109_JIOT_2023_3343793 crossref_primary_10_1109_TNSM_2021_3101862 crossref_primary_10_1049_cmu2_70051 crossref_primary_10_1109_TVT_2024_3375840 crossref_primary_10_1186_s13638_022_02207_2 crossref_primary_10_1016_j_comnet_2024_110352 crossref_primary_10_1109_TVT_2022_3220571 crossref_primary_10_1109_TCCN_2024_3510562 crossref_primary_10_1155_2021_9486818 crossref_primary_10_1109_ACCESS_2023_3284461 crossref_primary_10_1109_TCOMM_2022_3162263 crossref_primary_10_1007_s11042_024_20408_3 crossref_primary_10_1109_JIOT_2022_3189000 crossref_primary_10_3390_pr8101300 crossref_primary_10_1109_TCOMM_2022_3142284 crossref_primary_10_1109_TWC_2022_3186590 crossref_primary_10_1016_j_iot_2023_100826 crossref_primary_10_1007_s11227_025_07366_9 crossref_primary_10_1109_TVT_2022_3214075 crossref_primary_10_1109_TGCN_2024_3409390 crossref_primary_10_1016_j_rineng_2025_103934 crossref_primary_10_1109_TGCN_2023_3248609 crossref_primary_10_1109_TNSM_2023_3317810 crossref_primary_10_1109_JSYST_2021_3064919 crossref_primary_10_32604_cmc_2021_016188 crossref_primary_10_1109_TWC_2023_3323974 crossref_primary_10_32604_cmc_2021_016187 crossref_primary_10_1016_j_ins_2022_06_078 crossref_primary_10_1007_s11227_023_05257_5 crossref_primary_10_1155_2022_4832240 crossref_primary_10_1007_s12652_022_03877_y crossref_primary_10_1109_TVT_2022_3176302 crossref_primary_10_1109_TVT_2024_3374705 crossref_primary_10_1007_s11277_024_11577_3 crossref_primary_10_1016_j_jrras_2025_101934 crossref_primary_10_1109_TVT_2024_3364210 crossref_primary_10_1109_TVT_2024_3453904 crossref_primary_10_32604_cmc_2022_030575 crossref_primary_10_1016_j_comcom_2023_04_004 crossref_primary_10_1109_TETCI_2022_3193367 crossref_primary_10_1016_j_adhoc_2023_103342 crossref_primary_10_1016_j_jksuci_2022_02_005 crossref_primary_10_1109_JIOT_2021_3116718 crossref_primary_10_4018_JCIT_371753 crossref_primary_10_1109_TVT_2024_3377647 crossref_primary_10_1155_2020_8840367 crossref_primary_10_1109_JIOT_2024_3371049 crossref_primary_10_1007_s11276_024_03813_2 crossref_primary_10_1007_s40031_025_01200_9 crossref_primary_10_1109_JIOT_2024_3457765 crossref_primary_10_1109_TR_2021_3061618
Cites_doi	10.1109/WCNC.2019.8886332 10.1109/TWC.2018.2839111 10.1109/TVT.2018.2876804 10.1109/TWC.2019.2943563 10.1109/ICDCS.2017.83 10.1109/JIOT.2017.2750180 10.1109/ACCESS.2019.2936435 10.1109/JSAC.2017.2692307 10.1109/TVT.2017.2672701 10.1109/TCOMM.2017.2699660 10.1109/TBC.2015.2419824 10.1109/WCNC.2018.8377343 10.1109/ACCESS.2017.2787737 10.1109/COMST.2017.2682318 10.1109/TNET.2018.2873002 10.1109/TVT.2018.2872912 10.1109/TVT.2019.2900460 10.1109/COMST.2018.2816042 10.1109/JIOT.2018.2878435 10.1109/TVT.2019.2917890 10.1109/TWC.2017.2703901 10.1109/TCC.2016.2522439 10.1109/JSTSP.2019.2893057 10.1016/j.amc.2009.02.044 10.1109/TVT.2018.2869144 10.1109/MNET.2018.1700415 10.1109/TPDS.2015.2506573 10.1109/CCNC.2019.8651879 10.1049/iet-com.2018.5934 10.1109/TWC.2018.2821664 10.1109/TWC.2017.2717986 10.1109/TMC.2019.2908403 10.1109/CLOUD.2012.97 10.1109/TVT.2018.2881191 10.1109/TCYB.2019.2916728 10.1109/TSMC.1986.289288 10.1109/TNET.2015.2487344 10.1109/TWC.2017.2785305 10.1109/PIMRC.2016.7794956 10.1109/ICC.2018.8422238
ContentType	Journal Article
Copyright	Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020
Copyright_xml	– notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020
DBID	97E RIA RIE AAYXX CITATION 7SP 8FD FR3 KR7 L7M
DOI	10.1109/TVT.2020.3003898
DatabaseName	IEEE All-Society Periodicals Package (ASPP) 2005–Present IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE/IET Electronic Library CrossRef Electronics & Communications Abstracts Technology Research Database Engineering Research Database Civil Engineering Abstracts Advanced Technologies Database with Aerospace
DatabaseTitle	CrossRef Civil Engineering Abstracts Engineering Research Database Technology Research Database Advanced Technologies Database with Aerospace Electronics & Communications Abstracts
DatabaseTitleList	Civil Engineering Abstracts
Database_xml	– sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1939-9359
EndPage	10226
ExternalDocumentID	10_1109_TVT_2020_3003898 9122416
Genre	orig-research
GrantInformation_xml	– fundername: US Multidisciplinary University Research Initiative grantid: 18RT0073; NSF EARS-1839818; CNS-1717454; CNS-1731424; CNS-1702850 – fundername: Fundamental Research Funds for the Central Universities grantid: FRF-TP-18-008A3 funderid: 10.13039/501100012226 – fundername: National Science Foundation Project of China grantid: 61971032; 61931001
GroupedDBID	-~X .DC 0R~ 29I 3EH 4.4 5GY 5VS 6IK 97E AAIKC AAJGR AAMNW AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACGFO ACGFS ACIWK ACNCT AENEX AETIX AGQYO AGSQL AHBIQ AI. AIBXA AKJIK AKQYR ALLEH ALMA_UNASSIGNED_HOLDINGS ASUFR ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 EBS EJD HZ~ H~9 IAAWW IBMZZ ICLAB IFIPE IFJZH IPLJI JAVBF LAI M43 MS~ O9- OCL P2P RIA RIE RNS RXW TAE TN5 VH1 AAYXX CITATION 7SP 8FD FR3 KR7 L7M
ID	FETCH-LOGICAL-c357t-5f99b85359f8375cec6fd425a4d6882b67b1c2b6b07de77252b11c05d7511f953
IEDL.DBID	RIE
ISICitedReferencesCount	112
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000577995300075&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0018-9545
IngestDate	Mon Jun 30 10:08:41 EDT 2025 Sat Nov 29 02:58:51 EST 2025 Tue Nov 18 21:09:55 EST 2025 Wed Aug 27 02:30:35 EDT 2025
IsDoiOpenAccess	false
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	9
Language	English
License	https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c357t-5f99b85359f8375cec6fd425a4d6882b67b1c2b6b07de77252b11c05d7511f953
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ORCID	0000-0003-3628-8299 0000-0002-3664-3097 0000-0002-6606-5822 0000-0003-2279-2021
PQID	2451189594
PQPubID	85454
PageCount	13
ParticipantIDs	proquest_journals_2451189594 crossref_citationtrail_10_1109_TVT_2020_3003898 ieee_primary_9122416 crossref_primary_10_1109_TVT_2020_3003898
PublicationCentury	2000
PublicationDate	2020-09-01
PublicationDateYYYYMMDD	2020-09-01
PublicationDate_xml	– month: 09 year: 2020 text: 2020-09-01 day: 01
PublicationDecade	2020
PublicationPlace	New York
PublicationPlace_xml	– name: New York
PublicationTitle	IEEE transactions on vehicular technology
PublicationTitleAbbrev	TVT
PublicationYear	2020
Publisher	IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml	– name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References	ref35 ref13 ref34 ref12 ref37 ref15 ref36 ref14 ref31 ref30 ref33 ref11 ref32 ref10 ref2 ref1 ref39 ref17 ref38 ref16 ref19 ref18 fu (ref7) 2016; 27 ref24 ref23 ref26 pan (ref5) 2015; 61 ref25 ref20 ref41 ref22 ref21 ref28 shen (ref4) 2015; 16 ref27 ref29 ref8 ref9 ref3 ref6 ref40
References_xml	– ident: ref33 doi: 10.1109/WCNC.2019.8886332 – ident: ref12 doi: 10.1109/TWC.2018.2839111 – ident: ref34 doi: 10.1109/TVT.2018.2876804 – ident: ref28 doi: 10.1109/TWC.2019.2943563 – ident: ref19 doi: 10.1109/ICDCS.2017.83 – ident: ref2 doi: 10.1109/JIOT.2017.2750180 – ident: ref23 doi: 10.1109/ACCESS.2019.2936435 – ident: ref1 doi: 10.1109/JSAC.2017.2692307 – ident: ref22 doi: 10.1109/TVT.2017.2672701 – ident: ref29 doi: 10.1109/TCOMM.2017.2699660 – volume: 61 start-page: 166 year: 2015 ident: ref5 article-title: Efficient motion and disparity estimation optimization for low complexity multiview video coding publication-title: IEEE Trans Broadcast doi: 10.1109/TBC.2015.2419824 – ident: ref32 doi: 10.1109/WCNC.2018.8377343 – ident: ref37 doi: 10.1109/ACCESS.2017.2787737 – ident: ref16 doi: 10.1109/COMST.2017.2682318 – ident: ref24 doi: 10.1109/TNET.2018.2873002 – ident: ref38 doi: 10.1109/TVT.2018.2872912 – volume: 16 start-page: 171 year: 2015 ident: ref4 article-title: A novel routing protocol providing good transmission reliability in underwater sensor networks publication-title: J Internet Technol – ident: ref11 doi: 10.1109/TVT.2019.2900460 – ident: ref6 doi: 10.1109/COMST.2018.2816042 – ident: ref13 doi: 10.1109/JIOT.2018.2878435 – ident: ref20 doi: 10.1109/TVT.2019.2917890 – ident: ref26 doi: 10.1109/TWC.2017.2703901 – ident: ref39 doi: 10.1109/TCC.2016.2522439 – ident: ref30 doi: 10.1109/JSTSP.2019.2893057 – ident: ref41 doi: 10.1016/j.amc.2009.02.044 – ident: ref10 doi: 10.1109/TVT.2018.2869144 – ident: ref3 doi: 10.1109/MNET.2018.1700415 – volume: 27 start-page: 2546 year: 2016 ident: ref7 article-title: Enabling personalized search over encrypted outsourced data with efficiency improvement publication-title: IEEE Trans Parallel Distrib Syst doi: 10.1109/TPDS.2015.2506573 – ident: ref9 doi: 10.1109/CCNC.2019.8651879 – ident: ref36 doi: 10.1049/iet-com.2018.5934 – ident: ref21 doi: 10.1109/TWC.2018.2821664 – ident: ref15 doi: 10.1109/TWC.2017.2717986 – ident: ref8 doi: 10.1109/TMC.2019.2908403 – ident: ref17 doi: 10.1109/CLOUD.2012.97 – ident: ref25 doi: 10.1109/TVT.2018.2881191 – ident: ref35 doi: 10.1109/TCYB.2019.2916728 – ident: ref40 doi: 10.1109/TSMC.1986.289288 – ident: ref14 doi: 10.1109/TNET.2015.2487344 – ident: ref31 doi: 10.1109/TWC.2017.2785305 – ident: ref18 doi: 10.1109/PIMRC.2016.7794956 – ident: ref27 doi: 10.1109/ICC.2018.8422238
SSID	ssj0014491
Score	2.6256766
Snippet	In order to help user terminal devices (UTDs) efficiently handle computation-intensive and time-delay sensitive computing task, multi-access edge computing...
SourceID	proquest crossref ieee
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	10214
SubjectTerms	Computation offloading Delays Edge computing Energy conservation Energy consumption genetic algorithm Genetic algorithms MEC MINP Mixed integer Mobile computing Nonlinear programming Optimization Power consumption Resource allocation Resource management Servers Task analysis
Title	Joint Optimization Strategy of Computation Offloading and Resource Allocation in Multi-Access Edge Computing Environment
URI	https://ieeexplore.ieee.org/document/9122416 https://www.proquest.com/docview/2451189594
Volume	69
WOSCitedRecordID	wos000577995300075&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 1939-9359 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0014491 issn: 0018-9545 databaseCode: RIE dateStart: 19670101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NS8MwFH9sw4Me_JridEoOXgTr1o80zXHIREQ2D3PsVpY0kcFsZR-i_70vaTYVRfDUUpJQ-mvy3ssv7_0AzmVo3PBIe1yG0sNVUntoRpinDefjj5MwtpIsw3vW6yWjEX-owOU6F0YpZQ-fqStza7n8rJBLs1XW4pYGiqtQZSwuc7XWjEEUOXU8HycwugUrSrLNW4PhAAPBAONTw4Px5JsJspoqPxZia11udv73Xruw7bxI0ilh34OKyvdh60ttwTq83RWTfEH6uCQ8u1xL4krRvpNCk1LOoXze13pa2MP0ZJxnZLWlTzpTY-psk0lObK6u17EKi6SbPSk3hunW_cyXO4DHm-7g-tZzMgueDClbeFRzLtBqU64xWqVSyVhnOJXHURaj_y1iJnyJF9FmmUJnnAbC92WbZgydNc1peAi1vMjVERCVccr8QIRcaMRD8kQKH0MSwXxhGOMGtFZfPpWuBrmRwpimNhZp8xSxSg1WqcOqARfrHi9l_Y0_2tYNNut2DpYGNFfgpm6CztPA1GVLOOXR8e-9TmDTjF0eJ2tCbTFbqlPYkK-LyXx2Zv-9D-8c1pE
linkProvider	IEEE
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1bS8MwFD7oFNQHb1OcTs2DL4J1vaVtHodseJmbD1N8K0uayGC2opvov_ckzaaiCD61lKQt_Zqcc_LlnA_gSATaDQ-Vw0QgHJwllYNmJHaU5ny8QRJERpLlrhN3u8n9PbuZg5NZLoyU0mw-k6f61HD5WSEmeqmswQwNFM3DAg1D3y2ztWacQRhafTwPhzA6BlNS0mWN_l0fQ0EfI1TNhLHkmxEyqio_pmJjX9pr_3uzdVi1fiRplsBvwJzMN2HlS3XBKrxdFsN8THo4KTzabEtii9G-k0KRUtChvN5TalSY7fRkkGdkuqhPmiNt7EyTYU5Mtq7TNBqLpJU9SHsP3a31mTG3BbftVv_s3LFCC44IaDx2qGKMo92mTGG8SoUUkcpwMA_CLEIPnEcx9wQeuBtnEt1x6nPPEy7NYnTXFKPBNlTyIpc7QGTGaOz5PGBcIR6CJYJ7GJTw2OOaM65BY_rlU2GrkGsxjFFqohGXpYhVqrFKLVY1OJ71eCorcPzRtqqxmbWzsNSgPgU3tUP0JfV1ZbaEURbu_t7rEJbO-9edtHPRvdqDZf2ccnNZHSrj54nch0XxOh6-PB-Y__ADPgbZ2A
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Joint+Optimization+Strategy+of+Computation+Offloading+and+Resource+Allocation+in+Multi-Access+Edge+Computing+Environment&rft.jtitle=IEEE+transactions+on+vehicular+technology&rft.au=Li%2C+Huilin&rft.au=Xu%2C+Haitao&rft.au=Zhou%2C+Chengcheng&rft.au=Lu%2C+Xing&rft.date=2020-09-01&rft.issn=0018-9545&rft.eissn=1939-9359&rft.volume=69&rft.issue=9&rft.spage=10214&rft.epage=10226&rft_id=info:doi/10.1109%2FTVT.2020.3003898&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_TVT_2020_3003898
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0018-9545&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0018-9545&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0018-9545&client=summon