An efficient FLI-KDMSSA framework for computing resource allocation of IoV in edge computing
The combination of Mobile Edge Computing (MEC) and Internet of Vehicles (IoV) can effectively improve the network performance. However, the mobility of vehicles and the diversity of tasks make the allocation of computing resources more complex. When the vehicle is in motion, its position can change...
Saved in:
| Published in: | Computing Vol. 107; no. 7; p. 154 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Wien
Springer Nature B.V
01.07.2025
|
| Subjects: | |
| ISSN: | 0010-485X, 1436-5057 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | The combination of Mobile Edge Computing (MEC) and Internet of Vehicles (IoV) can effectively improve the network performance. However, the mobility of vehicles and the diversity of tasks make the allocation of computing resources more complex. When the vehicle is in motion, its position can change at any time. This can result in overload of the edge servers. Meanwhile, vehicle tasks are sensitive to latency. It makes resource allocation within edge servers more difficult. In order to solve the above problems, this article proposes a FLI-KDMSSA framework for rational allocation of computing resources in the Internet of Vehicles. First, Fuzzy Logic Inference (FLI) algorithm is used in this framework to determine the computing nodes of IoV tasks in edge computing scenarios. This algorithm uses task length, edge server virtual machine utilization, and cloud bandwidth as parameters to establish fuzzy rules. Then, with the objective function of minimizing latency and load balancing values, this paper proposes a Discrete Multi-objective Sparrow Search Algorithm based on K-means (KDMSSA) to solve the virtual machine resource allocation scheme. The experiment is simulated on the iFogSim platform. The experiment compares the performance of the system in terms of cost, energy consumption and delay in three different optimization algorithms. To compare with PSO algorithm, the performance of KDMSSA is improved by 12.7%. To compare with SSA, the performance of KDMSSA is improved by 7.7%. |
|---|---|
| AbstractList | The combination of Mobile Edge Computing (MEC) and Internet of Vehicles (IoV) can effectively improve the network performance. However, the mobility of vehicles and the diversity of tasks make the allocation of computing resources more complex. When the vehicle is in motion, its position can change at any time. This can result in overload of the edge servers. Meanwhile, vehicle tasks are sensitive to latency. It makes resource allocation within edge servers more difficult. In order to solve the above problems, this article proposes a FLI-KDMSSA framework for rational allocation of computing resources in the Internet of Vehicles. First, Fuzzy Logic Inference (FLI) algorithm is used in this framework to determine the computing nodes of IoV tasks in edge computing scenarios. This algorithm uses task length, edge server virtual machine utilization, and cloud bandwidth as parameters to establish fuzzy rules. Then, with the objective function of minimizing latency and load balancing values, this paper proposes a Discrete Multi-objective Sparrow Search Algorithm based on K-means (KDMSSA) to solve the virtual machine resource allocation scheme. The experiment is simulated on the iFogSim platform. The experiment compares the performance of the system in terms of cost, energy consumption and delay in three different optimization algorithms. To compare with PSO algorithm, the performance of KDMSSA is improved by 12.7%. To compare with SSA, the performance of KDMSSA is improved by 7.7%. |
| ArticleNumber | 154 |
| Author | Yao, Xinyu Hsieh, Chao-Hsien Xu, Fengya |
| Author_xml | – sequence: 1 givenname: Chao-Hsien surname: Hsieh fullname: Hsieh, Chao-Hsien – sequence: 2 givenname: Fengya surname: Xu fullname: Xu, Fengya – sequence: 3 givenname: Xinyu surname: Yao fullname: Yao, Xinyu |
| BookMark | eNpFkE1LAzEQhoNUsK3-AU8Bz9HJx26yx1K_ihUPVfEghGw2KVvbpCZbxH_v1gqe5jAP78z7jNAgxOAQOqdwSQHkVQYoQRJgBQFaACX8CA2p4CUpoJADNASgQIQq3k7QKOcVADCuqiF6nwTsvG9t60KHb-cz8nD9uFhMsE9m475i-sA-JmzjZrvr2rDEyeW4S9Zhs15Ha7o2Bhw9nsVX3PZRzdL9w6fo2Jt1dmd_c4xebm-ep_dk_nQ3m07mxDKmOlJIYYTjzCvflI0AsFVV0qZqHKNWcO5pLakv9xVqX4Gola-NUuClFKpf8zG6OORuU_zcudzpVf9j6E9qzvqekhdU9hQ7UDbFnJPzepvajUnfmoLeW9QHi7q3qH8tas5_AG0WZb0 |
| Cites_doi | 10.1109/JIOT.2018.2838022 10.1007/s10586-023-04264-8 10.1109/JIOT.2024.3490612 10.1088/1742-6596/2732/1/012016 10.1007/s10916-024-02038-2 10.1109/IMCOM51814.2021.9377327 10.1504/IJBIC.2019.101638 10.1016/j.sysarc.2024.103291 10.1109/TETCI.2021.3070870 10.1109/ICMCSI61536.2024.00068 10.3390/s24020368 10.1109/TII.2019.2913169 10.1109/JIOT.2021.3091599 10.1002/spe.3033 10.1186/s13634-021-00750-6 10.1109/MNET.2024.3354836 10.1007/s00607-024-01377-9 10.1016/j.sysarc.2024.103115 10.1109/IWCMC.2019.8766437 10.1109/TSC.2021.3064579 10.1109/ACCESS.2024.3392952 10.1080/17517575.2017.1304579 10.1007/s42979-024-02626-6 10.1007/s10462-023-10632-y 10.3390/s22239546 10.1007/s11227-020-03476-8 10.1007/s00607-024-01396-6 10.3390/su12166469 10.1109/COMST.2024.3372083 10.1109/ACCESS.2020.2983609 10.1007/s00607-024-01335-5 10.1145/2482981.2482984 10.1109/TCC.2019.2923768 10.1155/2020/2765491 10.1007/s12652-021-03354-y 10.3390/s24030874 10.1109/ACCESS.2021.3090512 10.1109/4235.996017 10.1109/TASE.2023.3319373 |
| ContentType | Journal Article |
| Copyright | The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2025. |
| Copyright_xml | – notice: The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2025. |
| DBID | AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D |
| DOI | 10.1007/s00607-025-01501-3 |
| DatabaseName | CrossRef Computer and Information Systems Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
| DatabaseTitle | CrossRef Computer and Information Systems Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Advanced Technologies Database with Aerospace ProQuest Computer Science Collection Computer and Information Systems Abstracts Professional |
| DatabaseTitleList | Computer and Information Systems Abstracts |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Mathematics Computer Science |
| EISSN | 1436-5057 |
| ExternalDocumentID | 10_1007_s00607_025_01501_3 |
| GroupedDBID | -Y2 -~C -~X .4S .86 .DC .VR 06D 0R~ 0VY 1N0 1SB 2.D 203 28- 29F 2J2 2JN 2JY 2KG 2KM 2LR 2P1 2VQ 2~H 30V 4.4 406 408 409 40D 40E 5GY 5QI 5VS 67Z 6NX 6TJ 78A 7WY 8AO 8FE 8FG 8FL 8G5 8TC 8UJ 8VB 95- 95. 95~ 96X AAAVM AABHQ AACDK AAHNG AAIAL AAJBT AAJKR AANZL AAOBN AAPKM AARHV AARTL AASML AATNV AATVU AAUYE AAWCG AAYIU AAYQN AAYTO AAYXX ABAKF ABBBX ABBRH ABBXA ABDBE ABDBF ABDZT ABECU ABFSG ABFTD ABFTV ABHLI ABHQN ABJNI ABJOX ABKCH ABKTR ABMNI ABMQK ABNWP ABQBU ABQSL ABRTQ ABSXP ABTEG ABTHY ABTKH ABTMW ABULA ABUWG ABWNU ABXPI ACAOD ACBXY ACDTI ACGFS ACHSB ACHXU ACKNC ACMDZ ACMLO ACOKC ACOMO ACPIV ACSTC ACUHS ACZOJ ADHHG ADHIR ADHKG ADIMF ADKNI ADKPE ADRFC ADTPH ADURQ ADYFF ADZKW AEBTG AEFIE AEFQL AEGAL AEGNC AEJHL AEJRE AEKMD AEMOZ AEMSY AENEX AEOHA AEPYU AETLH AEVLU AEXYK AEZWR AFBBN AFDZB AFEXP AFFHD AFFNX AFGCZ AFHIU AFKRA AFKWF AFLOW AFOHR AFQWF AFWTZ AFZKB AGAYW AGDGC AGGDS AGJBK AGMZJ AGQEE AGQMX AGQPQ AGRTI AGWIL AGWZB AGYKE AHAVH AHBYD AHKAY AHPBZ AHQJS AHSBF AHWEU AHYZX AIAKS AIGIU AIIXL AILAN AITGF AIXLP AJBLW AJRNO AJZVZ AKVCP ALMA_UNASSIGNED_HOLDINGS ALWAN AMKLP AMVHM AMXSW AMYLF AMYQR AOCGG ARAPS ARCSS ARMRJ ASPBG ATHPR AVWKF AXYYD AYFIA AYJHY AZFZN AZQEC B-. B0M BA0 BBWZM BDATZ BENPR BEZIV BGLVJ BGNMA BKOMP BPHCQ BSONS CAG CCPQU CITATION COF CS3 CSCUP DDRTE DL5 DNIVK DPUIP DWQXO EAD EAP EBA EBLON EBR EBS EBU ECS EDO EIOEI EJD EMK EPL ESBYG EST ESX FEDTE FERAY FFXSO FIGPU FINBP FNLPD FRNLG FRRFC FSGXE FWDCC GGCAI GGRSB GJIRD GNUQQ GNWQR GQ7 GQ8 GUQSH GXS H13 HCIFZ HF~ HG5 HG6 HMJXF HQYDN HRMNR HVGLF HZ~ I09 IHE IJ- IKXTQ ITG ITH ITM IWAJR IXC IZIGR IZQ I~X I~Z J-C J0Z JBSCW JCJTX JZLTJ K1G K60 K6V K6~ K7- KDC KOV KOW LAS LLZTM M0C M2O M4Y MA- MK~ ML~ N2Q N9A NB0 NDZJH NPVJJ NQJWS NU0 O9- O93 O9G O9I O9J OAM P19 P2P P62 P9O PF0 PHGZM PHGZT PQBIZ PQBZA PQGLB PQQKQ PROAC PT4 PT5 Q2X QOK QOS QWB R4E R89 R9I RHV RNI RNS ROL RPX RSV RZK S16 S1Z S26 S27 S28 S3B SAP SCJ SCLPG SCO SDH SDM SHX SISQX SJYHP SNE SNPRN SNX SOHCF SOJ SPISZ SRMVM SSLCW STPWE SZN T13 T16 TH9 TN5 TSG TSK TSV TUC TUS U2A UG4 UOJIU UTJUX UZXMN VC2 VFIZW W23 W48 WK8 YLTOR Z45 ZL0 ZMTXR ~8M ~EX 7SC 8FD JQ2 L7M L~C L~D |
| ID | FETCH-LOGICAL-c228t-574a4e32f8fd6d400c9961d9de21c433f1b71f60010bf904b8fba880f774833f3 |
| IEDL.DBID | RSV |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001512644600001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0010-485X |
| IngestDate | Wed Nov 26 13:51:27 EST 2025 Sat Nov 29 07:35:05 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 7 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c228t-574a4e32f8fd6d400c9961d9de21c433f1b71f60010bf904b8fba880f774833f3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| PQID | 3223873517 |
| PQPubID | 48322 |
| ParticipantIDs | proquest_journals_3223873517 crossref_primary_10_1007_s00607_025_01501_3 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-07-00 20250701 |
| PublicationDateYYYYMMDD | 2025-07-01 |
| PublicationDate_xml | – month: 07 year: 2025 text: 2025-07-00 |
| PublicationDecade | 2020 |
| PublicationPlace | Wien |
| PublicationPlace_xml | – name: Wien |
| PublicationTitle | Computing |
| PublicationYear | 2025 |
| Publisher | Springer Nature B.V |
| Publisher_xml | – name: Springer Nature B.V |
| References | G Mohsen (1501_CR36) 2024; 120 Z Jalali (1501_CR11) 2024; 57 A Aslani (1501_CR33) 2025; 107 G Hong (1501_CR5) 2020; 36 M Blej (1501_CR16) 2018; 1 W Hamdi (1501_CR2) 2024 J Naik (1501_CR44) 2021; 27 J Liu (1501_CR27) 2022; 9 H Shah-Mansouri (1501_CR8) 2018; 5 M Ghorbian (1501_CR38) 2024; 27 S Bitam (1501_CR21) 2018; 12 D Saxena (1501_CR46) 2024; 21 K Kolomvatsos (1501_CR12) 2021; 6 H Ji (1501_CR4) 2020; 8 E Oneţ (1501_CR19) 2010; 1 C Chien (1501_CR25) 2019; 15 M Ghorbian (1501_CR35) 2024; 106 A Khanna (1501_CR43) 2025; 107 1501_CR47 M Ehtisham (1501_CR17) 2024; 24 Y Lin (1501_CR42) 2024; 12 1501_CR9 1501_CR20 A Li (1501_CR23) 2022; 22 F Jazayeri (1501_CR39) 2021; 77 K Deb (1501_CR48) 2002; 6 P Azad (1501_CR45) 2019; 14 J Bai (1501_CR41) 2025; 12 E Alalwany (1501_CR1) 2024; 24 J Chen (1501_CR28) 2024; 2732 Q Luo (1501_CR24) 2022; 15 S Subbaraj (1501_CR26) 2021 S Josilo (1501_CR32) 2019; 9 1501_CR10 A Rafat (1501_CR40) 2023; 53 F Ajaz (1501_CR7) 2024; 5 L Guevara (1501_CR3) 2020; 12 1501_CR14 V Bellini (1501_CR29) 2024; 48 P Singh (1501_CR13) 2023; 101 1501_CR15 K Zheng (1501_CR6) 2024 W Zhiheng (1501_CR18) 2021; 99 E Ana (1501_CR37) 2024; 151 Y Zhang (1501_CR30) 2021; 2021 P Azad (1501_CR22) 2019; 14 G Mohsen (1501_CR34) 2024; 157 B Huang (1501_CR31) 2020 |
| References_xml | – volume: 36 start-page: 865 issue: 4 year: 2020 ident: 1501_CR5 publication-title: J Inf Sci Eng – volume: 5 start-page: 3246 issue: 4 year: 2018 ident: 1501_CR8 publication-title: IEEE Internet Things J doi: 10.1109/JIOT.2018.2838022 – volume: 101 start-page: 1 year: 2023 ident: 1501_CR13 publication-title: Simul Model Pract Theory – volume: 27 start-page: 5571 year: 2024 ident: 1501_CR38 publication-title: Cluster Comput doi: 10.1007/s10586-023-04264-8 – volume: 12 start-page: 6029 issue: 5 year: 2025 ident: 1501_CR41 publication-title: IEEE Internet Things J doi: 10.1109/JIOT.2024.3490612 – volume: 2732 start-page: 012016 issue: 1 year: 2024 ident: 1501_CR28 publication-title: J Phys Conf Ser doi: 10.1088/1742-6596/2732/1/012016 – volume: 48 start-page: 19 year: 2024 ident: 1501_CR29 publication-title: J Med Syst doi: 10.1007/s10916-024-02038-2 – ident: 1501_CR14 doi: 10.1109/IMCOM51814.2021.9377327 – volume: 1 start-page: 155 year: 2010 ident: 1501_CR19 publication-title: J Comput Sci Control Syst – volume: 14 start-page: 125 issue: 2 year: 2019 ident: 1501_CR22 publication-title: Int J Bio-inspired Comput doi: 10.1504/IJBIC.2019.101638 – volume: 157 year: 2024 ident: 1501_CR34 publication-title: J Syst Architect doi: 10.1016/j.sysarc.2024.103291 – volume: 6 start-page: 377 issue: 2 year: 2021 ident: 1501_CR12 publication-title: IEEE Trans Emerg Top Comput Intell doi: 10.1109/TETCI.2021.3070870 – ident: 1501_CR10 doi: 10.1109/ICMCSI61536.2024.00068 – volume: 120 start-page: 109832 issue: Part C year: 2024 ident: 1501_CR36 publication-title: Comput Electr Eng – ident: 1501_CR47 – volume: 24 start-page: 368 issue: 2 year: 2024 ident: 1501_CR1 publication-title: Sensors doi: 10.3390/s24020368 – ident: 1501_CR20 – volume: 15 start-page: 4306 issue: 7 year: 2019 ident: 1501_CR25 publication-title: IEEE Trans Industr Inf doi: 10.1109/TII.2019.2913169 – volume: 9 start-page: 10370 year: 2022 ident: 1501_CR27 publication-title: IEEE Internet Things J doi: 10.1109/JIOT.2021.3091599 – volume: 53 start-page: 811 issue: 3 year: 2023 ident: 1501_CR40 publication-title: Softw Pract Exp doi: 10.1002/spe.3033 – volume: 2021 start-page: 1 issue: 1 year: 2021 ident: 1501_CR30 publication-title: EURASIP J Adv Signal Process doi: 10.1186/s13634-021-00750-6 – year: 2024 ident: 1501_CR6 publication-title: IEEE Netw doi: 10.1109/MNET.2024.3354836 – volume: 107 start-page: 47 year: 2025 ident: 1501_CR33 publication-title: Computing doi: 10.1007/s00607-024-01377-9 – volume: 27 start-page: 388 issue: 4 year: 2021 ident: 1501_CR44 publication-title: Int J Commun Netw Distrib Syst – volume: 151 year: 2024 ident: 1501_CR37 publication-title: J Syst Architect doi: 10.1016/j.sysarc.2024.103115 – ident: 1501_CR15 doi: 10.1109/IWCMC.2019.8766437 – volume: 15 start-page: 2897 year: 2022 ident: 1501_CR24 publication-title: IEEE Trans Serv Comput doi: 10.1109/TSC.2021.3064579 – volume: 12 start-page: 60095 year: 2024 ident: 1501_CR42 publication-title: IEEE Access doi: 10.1109/ACCESS.2024.3392952 – volume: 12 start-page: 373 issue: 4 year: 2018 ident: 1501_CR21 publication-title: Enterp Inf Syst doi: 10.1080/17517575.2017.1304579 – volume: 5 start-page: 305 issue: 3 year: 2024 ident: 1501_CR7 publication-title: SN Comput Sci doi: 10.1007/s42979-024-02626-6 – volume: 57 start-page: 4 issue: 1 year: 2024 ident: 1501_CR11 publication-title: Artif Intell Rev doi: 10.1007/s10462-023-10632-y – volume: 22 start-page: 9546 issue: 23 year: 2022 ident: 1501_CR23 publication-title: Sensors doi: 10.3390/s22239546 – volume: 77 start-page: 4887 year: 2021 ident: 1501_CR39 publication-title: J Supercomput doi: 10.1007/s11227-020-03476-8 – volume: 107 start-page: 40 year: 2025 ident: 1501_CR43 publication-title: Computing doi: 10.1007/s00607-024-01396-6 – volume: 12 start-page: 1 issue: 16 year: 2020 ident: 1501_CR3 publication-title: Sustainability doi: 10.3390/su12166469 – year: 2024 ident: 1501_CR2 publication-title: IEEE Commun Surv Tutor. doi: 10.1109/COMST.2024.3372083 – volume: 8 start-page: 61020 issue: 1 year: 2020 ident: 1501_CR4 publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2983609 – volume: 106 start-page: 3755 year: 2024 ident: 1501_CR35 publication-title: Computing doi: 10.1007/s00607-024-01335-5 – ident: 1501_CR9 doi: 10.1145/2482981.2482984 – volume: 9 start-page: 1507 issue: 4 year: 2019 ident: 1501_CR32 publication-title: IEEE Trans Cloud Comput doi: 10.1109/TCC.2019.2923768 – volume: 14 start-page: 125 issue: 2 year: 2019 ident: 1501_CR45 publication-title: Int J Bio-Inspired Comput doi: 10.1504/IJBIC.2019.101638 – year: 2020 ident: 1501_CR31 publication-title: Wirel Commun Mobile Comput doi: 10.1155/2020/2765491 – year: 2021 ident: 1501_CR26 publication-title: J Ambient Intell Human Comput doi: 10.1007/s12652-021-03354-y – volume: 24 start-page: 874 issue: 3 year: 2024 ident: 1501_CR17 publication-title: Sensors doi: 10.3390/s24030874 – volume: 99 start-page: 88564 year: 2021 ident: 1501_CR18 publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3090512 – volume: 6 start-page: 182 issue: 2 year: 2002 ident: 1501_CR48 publication-title: IEEE Trans Evol Comput doi: 10.1109/4235.996017 – volume: 1 start-page: 69 issue: 2 year: 2018 ident: 1501_CR16 publication-title: J Univ Math – volume: 21 start-page: 5837 issue: 4 year: 2024 ident: 1501_CR46 publication-title: IEEE Trans Autom Sci Eng doi: 10.1109/TASE.2023.3319373 |
| SSID | ssj0002389 |
| Score | 2.384667 |
| Snippet | The combination of Mobile Edge Computing (MEC) and Internet of Vehicles (IoV) can effectively improve the network performance. However, the mobility of... |
| SourceID | proquest crossref |
| SourceType | Aggregation Database Index Database |
| StartPage | 154 |
| SubjectTerms | Bandwidths Cloud computing Decision making Edge computing Energy consumption Fuzzy logic Fuzzy sets Information storage Internet Internet of Vehicles Mobile computing Network latency Optimization algorithms Resource allocation Scheduling Search algorithms Servers Task complexity Vehicles Virtual environments |
| Title | An efficient FLI-KDMSSA framework for computing resource allocation of IoV in edge computing |
| URI | https://www.proquest.com/docview/3223873517 |
| Volume | 107 |
| WOSCitedRecordID | wos001512644600001&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: PRVAVX databaseName: SpringerLINK Contemporary 1997-Present customDbUrl: eissn: 1436-5057 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002389 issn: 0010-485X databaseCode: RSV dateStart: 19970101 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NT8IwFH8hxIMeRFEjiqYHb7qEtd3aHYlKJAoxooSDydJ1reEyDKB_v6_dwJDogXPbl-W9vc--_h7AlUpiE7JIBYmI4oBHmQmkkiYwMdUJp9xQrfywCTEcyskkea7Bzb83-A7uM3blNOqazCJMfh20ZxhTN67gZTRem130PWWsi4aFy2hSvZD5m8SmF9o0wt6z9BrbfdMB7FcRJOmWIj-Emima0FhNZyCVsjZhb7BGZF0cwXu3IMbDRaCXIb2nfvB4NxiNusSuurMIhq9EezLozsi8qusTdzNf1vXIzJL-bEymSCr_ML-bj-Gtd_96-xBUkxUCTalcBpHgihtGrbR5nKMaa0x7wjzJDQ01Z8yGmQiti4U6mU06PJM2U6jpFoNFicvsBOrFrDCnQLhGm0llx4gET2Kyx6wSRjDcbjLFshZcrzidfpYAGukaKtmzMUU2pp6NKWtBeyWMtFKmRYo2h0nBolCcbUXsHHapF5Frrm1DfTn_Mhewo7-X08X80v89P4y-ueU |
| linkProvider | Springer Nature |
| 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=An+efficient+FLI-KDMSSA+framework+for+computing+resource+allocation+of+IoV+in+edge+computing&rft.jtitle=Computing&rft.au=Hsieh%2C+Chao-Hsien&rft.au=Xu%2C+Fengya&rft.au=Yao%2C+Xinyu&rft.date=2025-07-01&rft.issn=0010-485X&rft.eissn=1436-5057&rft.volume=107&rft.issue=7&rft_id=info:doi/10.1007%2Fs00607-025-01501-3&rft.externalDBID=n%2Fa&rft.externalDocID=10_1007_s00607_025_01501_3 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0010-485X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0010-485X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0010-485X&client=summon |