Local Scheduling in KubeEdge-Based Edge Computing Environment
KubeEdge is an open-source platform that orchestrates containerized Internet of Things (IoT) application services in IoT edge computing environments. Based on Kubernetes, it supports heterogeneous IoT device protocols on edge nodes and provides various functions necessary to build edge computing inf...
Saved in:
| Published in: | Sensors (Basel, Switzerland) Vol. 23; no. 3; p. 1522 |
|---|---|
| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Switzerland
MDPI AG
30.01.2023
MDPI |
| Subjects: | |
| ISSN: | 1424-8220, 1424-8220 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | KubeEdge is an open-source platform that orchestrates containerized Internet of Things (IoT) application services in IoT edge computing environments. Based on Kubernetes, it supports heterogeneous IoT device protocols on edge nodes and provides various functions necessary to build edge computing infrastructure, such as network management between cloud and edge nodes. However, the resulting cloud-based systems are subject to several limitations. In this study, we evaluated the performance of KubeEdge in terms of the computational resource distribution and delay between edge nodes. We found that forwarding traffic between edge nodes degrades the throughput of clusters and causes service delay in edge computing environments. Based on these results, we proposed a local scheduling scheme that handles user traffic locally at each edge node. The performance evaluation results revealed that local scheduling outperforms the existing load-balancing algorithm in the edge computing environment. |
|---|---|
| AbstractList | KubeEdge is an open-source platform that orchestrates containerized Internet of Things (IoT) application services in IoT edge computing environments. Based on Kubernetes, it supports heterogeneous IoT device protocols on edge nodes and provides various functions necessary to build edge computing infrastructure, such as network management between cloud and edge nodes. However, the resulting cloud-based systems are subject to several limitations. In this study, we evaluated the performance of KubeEdge in terms of the computational resource distribution and delay between edge nodes. We found that forwarding traffic between edge nodes degrades the throughput of clusters and causes service delay in edge computing environments. Based on these results, we proposed a local scheduling scheme that handles user traffic locally at each edge node. The performance evaluation results revealed that local scheduling outperforms the existing load-balancing algorithm in the edge computing environment. KubeEdge is an open-source platform that orchestrates containerized Internet of Things (IoT) application services in IoT edge computing environments. Based on Kubernetes, it supports heterogeneous IoT device protocols on edge nodes and provides various functions necessary to build edge computing infrastructure, such as network management between cloud and edge nodes. However, the resulting cloud-based systems are subject to several limitations. In this study, we evaluated the performance of KubeEdge in terms of the computational resource distribution and delay between edge nodes. We found that forwarding traffic between edge nodes degrades the throughput of clusters and causes service delay in edge computing environments. Based on these results, we proposed a local scheduling scheme that handles user traffic locally at each edge node. The performance evaluation results revealed that local scheduling outperforms the existing load-balancing algorithm in the edge computing environment.KubeEdge is an open-source platform that orchestrates containerized Internet of Things (IoT) application services in IoT edge computing environments. Based on Kubernetes, it supports heterogeneous IoT device protocols on edge nodes and provides various functions necessary to build edge computing infrastructure, such as network management between cloud and edge nodes. However, the resulting cloud-based systems are subject to several limitations. In this study, we evaluated the performance of KubeEdge in terms of the computational resource distribution and delay between edge nodes. We found that forwarding traffic between edge nodes degrades the throughput of clusters and causes service delay in edge computing environments. Based on these results, we proposed a local scheduling scheme that handles user traffic locally at each edge node. The performance evaluation results revealed that local scheduling outperforms the existing load-balancing algorithm in the edge computing environment. |
| Audience | Academic |
| Author | Kim, Taehong Kim, Seong-Hyun |
| AuthorAffiliation | School of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea |
| AuthorAffiliation_xml | – name: School of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea |
| Author_xml | – sequence: 1 givenname: Seong-Hyun surname: Kim fullname: Kim, Seong-Hyun – sequence: 2 givenname: Taehong orcidid: 0000-0001-6246-6218 surname: Kim fullname: Kim, Taehong |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36772562$$D View this record in MEDLINE/PubMed |
| BookMark | eNptkk1v1DAQhi1URD_gwB9AkbjQQ1p_JP44UKmsFqhYiQNwthx7knqV2EucVOLf43TLqq2QD7bGj1_POzOn6CjEAAi9JfiCMYUvE2WYkZrSF-iEVLQqJaX46NH5GJ2mtMWYMsbkK3TMuBC05vQEfdxEa_rih70FN_c-dIUPxbe5gbXroPxkErhiORarOOzmaQHW4c6PMQwQptfoZWv6BG8e9jP06_P65-prufn-5WZ1vSltjeVUGjBtLW2tGDFVw4BxZVoD0DjJQTRtpapGAmHcSSG5sxjAioZyJbFjAgw7Qzd7XRfNVu9GP5jxj47G6_tAHDttxsnbHjQRRkqDiQWZ7dvKOEUr4Jhbxm3TiKx1tdfazc0AzmYbo-mfiD69Cf5Wd_FOK0UJITgLfHgQGOPvGdKkB58s9L0JEOekqRC5tJgrldH3z9BtnMeQS7VQlRKsxktGF3uqM9mAD23M_9q8HAze5la3PsevRcVy4QhfHrx7bOGQ-7-2ZuB8D9gxpjRCe0AI1svI6MPIZPbyGWv9ZCYfF_e-_8-Lv50UwNg |
| CitedBy_id | crossref_primary_10_1016_j_aiia_2025_02_008 crossref_primary_10_1109_JSYST_2024_3392290 crossref_primary_10_1016_j_engappai_2024_109745 crossref_primary_10_3390_s23083953 crossref_primary_10_3390_s23084008 crossref_primary_10_1016_j_jmsy_2024_04_029 crossref_primary_10_1186_s13677_025_00737_w crossref_primary_10_26636_jtit_2025_2_2088 crossref_primary_10_1186_s13677_023_00471_1 crossref_primary_10_1016_j_eij_2025_100732 crossref_primary_10_1038_s41598_025_10580_3 crossref_primary_10_1109_ACCESS_2025_3563161 crossref_primary_10_1007_s10586_024_04420_8 |
| Cites_doi | 10.1109/SEC.2018.00048 10.1016/j.neunet.2019.01.012 10.1109/TPDS.2020.3046440 10.1109/ACCESS.2022.3150867 10.1109/JIOT.2021.3052082 10.3390/s22082869 10.1109/MCOM.001.1900660 10.1093/comjnl/bxy043 10.3390/app12010140 10.1109/JIOT.2019.2939534 10.1109/ACCESS.2019.2947652 10.1016/j.comnet.2004.12.001 10.3390/electronics10030335 10.1016/j.jnca.2020.102882 10.1109/ICII.2018.00024 10.3390/s21175797 10.1109/TPDS.2021.3059447 10.1109/JIOT.2017.2767608 10.1109/MCC.2015.51 10.1109/ICITAET47105.2019.9170208 10.1145/3538637.3538856 10.1109/MWC.004.2100038 10.1007/s11227-021-03982-3 10.1109/JPROC.2019.2921977 10.1186/s13677-021-00231-z 10.1109/ICCCI48352.2020.9104073 10.1109/ACCESS.2020.3029583 |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2023 MDPI AG 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2023 by the authors. 2023 |
| Copyright_xml | – notice: COPYRIGHT 2023 MDPI AG – notice: 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2023 by the authors. 2023 |
| DBID | AAYXX CITATION NPM 3V. 7X7 7XB 88E 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH K9. M0S M1P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI PRINS 7X8 5PM DOA |
| DOI | 10.3390/s23031522 |
| DatabaseName | CrossRef PubMed ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Health & Medical Complete (Alumni) Health & Medical Collection (Alumni Edition) PML(ProQuest Medical Library) ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef PubMed Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central China ProQuest Central ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | CrossRef Publicly Available Content Database PubMed MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: PIMPY name: Publicly Available Content (ProQuest) url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1424-8220 |
| ExternalDocumentID | oai_doaj_org_article_17a88a01ce8142c4ad924e606c36cbb7 PMC9921110 A743369167 36772562 10_3390_s23031522 |
| Genre | Journal Article |
| GrantInformation_xml | – fundername: National Research Foundation of Korea grantid: NRF-2022R1I1A3072355 – fundername: Basic Science Research Program through the National Research Foundation of Korea (NRF) grantid: NRF-2022R1I1A3072355 |
| GroupedDBID | --- 123 2WC 53G 5VS 7X7 88E 8FE 8FG 8FI 8FJ AADQD AAHBH AAYXX ABDBF ABUWG ACUHS ADBBV ADMLS AENEX AFFHD AFKRA AFZYC ALMA_UNASSIGNED_HOLDINGS BENPR BPHCQ BVXVI CCPQU CITATION CS3 D1I DU5 E3Z EBD ESX F5P FYUFA GROUPED_DOAJ GX1 HH5 HMCUK HYE IAO ITC KQ8 L6V M1P M48 MODMG M~E OK1 OVT P2P P62 PHGZM PHGZT PIMPY PJZUB PPXIY PQQKQ PROAC PSQYO RNS RPM TUS UKHRP XSB ~8M 3V. ABJCF ALIPV ARAPS HCIFZ KB. M7S NPM PDBOC 7XB 8FK AZQEC DWQXO K9. PKEHL PQEST PQUKI PRINS 7X8 PUEGO 5PM |
| ID | FETCH-LOGICAL-c508t-aeaf58c5931a4b3e369afaeebd86e7bf494b8e136d8786dc0eec7b26980d37ea3 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 19 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000931351600001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1424-8220 |
| IngestDate | Fri Oct 03 12:52:25 EDT 2025 Tue Nov 04 02:07:03 EST 2025 Thu Oct 02 09:58:45 EDT 2025 Tue Oct 07 07:22:55 EDT 2025 Tue Nov 04 18:14:19 EST 2025 Wed Feb 19 02:24:39 EST 2025 Tue Nov 18 22:42:23 EST 2025 Sat Nov 29 07:19:16 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 3 |
| Keywords | load balancer EdgeMesh KubeEdge edge computing microservice Kubernetes |
| Language | English |
| License | Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c508t-aeaf58c5931a4b3e369afaeebd86e7bf494b8e136d8786dc0eec7b26980d37ea3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ORCID | 0000-0001-6246-6218 |
| OpenAccessLink | https://doaj.org/article/17a88a01ce8142c4ad924e606c36cbb7 |
| PMID | 36772562 |
| PQID | 2774973507 |
| PQPubID | 2032333 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_17a88a01ce8142c4ad924e606c36cbb7 pubmedcentral_primary_oai_pubmedcentral_nih_gov_9921110 proquest_miscellaneous_2775620699 proquest_journals_2774973507 gale_infotracacademiconefile_A743369167 pubmed_primary_36772562 crossref_primary_10_3390_s23031522 crossref_citationtrail_10_3390_s23031522 |
| PublicationCentury | 2000 |
| PublicationDate | 20230130 |
| PublicationDateYYYYMMDD | 2023-01-30 |
| PublicationDate_xml | – month: 1 year: 2023 text: 20230130 day: 30 |
| PublicationDecade | 2020 |
| PublicationPlace | Switzerland |
| PublicationPlace_xml | – name: Switzerland – name: Basel |
| PublicationTitle | Sensors (Basel, Switzerland) |
| PublicationTitleAlternate | Sensors (Basel) |
| PublicationYear | 2023 |
| Publisher | MDPI AG MDPI |
| Publisher_xml | – name: MDPI AG – name: MDPI |
| References | Han (ref_21) 2021; 32 ref_13 ref_12 ref_34 Kaur (ref_7) 2020; 7 ref_33 ref_10 ref_32 ref_31 ref_30 Chen (ref_22) 2019; 107 ref_18 Phuc (ref_27) 2022; 10 Zhou (ref_3) 2021; 10 ref_15 Nguyen (ref_5) 2020; 8 Abouaomar (ref_25) 2021; 8 Yang (ref_16) 2022; 29 Pahl (ref_4) 2015; 2 ref_24 ref_23 Mondal (ref_11) 2022; 78 Pan (ref_1) 2017; 5 Tange (ref_14) 2019; 7 ref_20 Parisi (ref_19) 2019; 113 ref_29 ref_28 ref_9 Akyildiz (ref_17) 2005; 47 Sadri (ref_2) 2021; 174 Zhang (ref_6) 2021; 32 Nguyen (ref_8) 2020; 58 Taherizadeh (ref_26) 2019; 62 |
| References_xml | – ident: ref_15 doi: 10.1109/SEC.2018.00048 – volume: 113 start-page: 54 year: 2019 ident: ref_19 article-title: Part, Christopher Kanan, Stefan Wermter, Continual lifelong learning with neural networks: A review publication-title: Neural Netw. doi: 10.1016/j.neunet.2019.01.012 – volume: 32 start-page: 1591 year: 2021 ident: ref_21 article-title: Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms publication-title: IEEE Trans. Parallel Distrib. Syst. doi: 10.1109/TPDS.2020.3046440 – volume: 10 start-page: 18966 year: 2022 ident: ref_27 article-title: Traffic-Aware Horizontal Pod Autoscaler in Kubernetes-Based Edge Computing Infrastructure publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3150867 – ident: ref_32 – volume: 8 start-page: 11088 year: 2021 ident: ref_25 article-title: Resource Provisioning in Edge Computing for Latency-Sensitive Applications publication-title: IEEE Internet Things J. doi: 10.1109/JIOT.2021.3052082 – ident: ref_34 – ident: ref_28 doi: 10.3390/s22082869 – volume: 58 start-page: 78 year: 2020 ident: ref_8 article-title: Toward highly scalable load balancing in kubernetes clusters publication-title: IEEE Commun. Mag. doi: 10.1109/MCOM.001.1900660 – volume: 62 start-page: 174 year: 2019 ident: ref_26 article-title: Dynamic Multi-level Auto-scaling Rules for Containerized Applications publication-title: Comput. J. doi: 10.1093/comjnl/bxy043 – ident: ref_30 doi: 10.3390/app12010140 – volume: 7 start-page: 4228 year: 2020 ident: ref_7 article-title: KEIDS: Kubernetes-based energy and interference driven scheduler for industrial IoT in edge-cloud ecosystem publication-title: IEEE Internet Things J. doi: 10.1109/JIOT.2019.2939534 – volume: 7 start-page: 150936 year: 2019 ident: ref_14 article-title: Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2947652 – volume: 47 start-page: 445 year: 2005 ident: ref_17 article-title: Wireless Mesh Networks: A Survey publication-title: Comput. Netw. doi: 10.1016/j.comnet.2004.12.001 – ident: ref_24 doi: 10.3390/electronics10030335 – volume: 174 start-page: 102882 year: 2021 ident: ref_2 article-title: Fog data management: A vision, challenges, and future directions publication-title: J. Netw. Comput. Appl. doi: 10.1016/j.jnca.2020.102882 – ident: ref_31 doi: 10.1109/ICII.2018.00024 – ident: ref_23 doi: 10.3390/s21175797 – volume: 32 start-page: 2086 year: 2021 ident: ref_6 article-title: Joint task scheduling and containerizing for efficient edge computing publication-title: IEEE Trans. Parallel Distrib. Syst. doi: 10.1109/TPDS.2021.3059447 – ident: ref_33 – volume: 5 start-page: 439 year: 2017 ident: ref_1 article-title: Future Edge Cloud and Edge Computing for Internet of Things Applications publication-title: IEEE Internet Things J. doi: 10.1109/JIOT.2017.2767608 – volume: 2 start-page: 24 year: 2015 ident: ref_4 article-title: Containerization and the PaaS Cloud publication-title: J. Cloud Comput. doi: 10.1109/MCC.2015.51 – ident: ref_9 doi: 10.1109/ICITAET47105.2019.9170208 – ident: ref_12 – ident: ref_18 doi: 10.1145/3538637.3538856 – ident: ref_10 – volume: 29 start-page: 140 year: 2022 ident: ref_16 article-title: Kubeedge Wireless for Integrated Communication and Computing Services Everywhere publication-title: IEEE Wirel. Commun. doi: 10.1109/MWC.004.2100038 – volume: 78 start-page: 2937 year: 2022 ident: ref_11 article-title: Kubernetes in IT administration and serverless computing: An empirical study and research challenges publication-title: J Supercomput. doi: 10.1007/s11227-021-03982-3 – volume: 107 start-page: 1655 year: 2019 ident: ref_22 article-title: Deep Learning with Edge Computing: A Review publication-title: Proc. IEEE doi: 10.1109/JPROC.2019.2921977 – ident: ref_13 – volume: 10 start-page: 16 year: 2021 ident: ref_3 article-title: Container orchestration on HPC systems through Kubernetes publication-title: J. Cloud Comput. doi: 10.1186/s13677-021-00231-z – ident: ref_29 doi: 10.1109/ICCCI48352.2020.9104073 – ident: ref_20 – volume: 8 start-page: 183879 year: 2020 ident: ref_5 article-title: ElasticFog: Elastic Resource Provisioning in Container-Based Fog Computing publication-title: IEEE Access doi: 10.1109/ACCESS.2020.3029583 |
| SSID | ssj0023338 |
| Score | 2.5169263 |
| Snippet | KubeEdge is an open-source platform that orchestrates containerized Internet of Things (IoT) application services in IoT edge computing environments. Based on... |
| SourceID | doaj pubmedcentral proquest gale pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | 1522 |
| SubjectTerms | Accuracy Artificial intelligence Cloud computing Communication Containerization (Freight) edge computing EdgeMesh Internet of Things KubeEdge Kubernetes load balancer microservice Performance evaluation Quality of service Scheduling Software |
| SummonAdditionalLinks | – databaseName: Publicly Available Content Database dbid: PIMPY link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwEB7BlgMceJcGCgoICS7RJnHixwGhFm0FolQr8VA5RfbYWVZC2XYf_H7GiTfdCMSJWxTPwc54Hl88_gbgZc61yh1mCRacJYXgmGiLJvGpNq8p3nfF499OxdmZPD9X03A9ehXKKrc-sXXUHduzr9smJzy2C_R_zMc5ZS1KMEpm3l5cJr6HlD9rDQ01rsOeJ95KR7A3_fBp-r0HYIzwWMcuxAjqj1eUfjOKX_kgJrXU_X866J0INaye3AlHJ3f-70Luwu2QlsZH3T66B9dccx9u7ZAVPoA3pz7sxZ9Jy9aXr8_ieRN_3Bg3sTOXHFM0tLF_jLtGEV5gcnWL7iF8PZl8efc-Cc0XEqScbZ1op-tSYqlYpgvDHONK19o5YyV3wtSFKox0GeNWCsktps6hMDlXMrVMOM32YdQsGncAMSulJeSJpTZY1I5JTRERDcPSGnIwJoLX289fYWAm9w0yflaEULymql5TEbzoRS86Oo6_CR17HfYCnkG7fbFYzqpgkFUmtJQ6zdDJrMix0JaQqCM4h4yjMSKCV34HVN7OaTKow3UFWpJnzKqOKPWib5JxkjzcKroKDmBVXek1guf9MJmuP4_RjVtsWhnKPlOuVASPuj3Vz5lxgj00GoEY7LbBooYjzfxHSw-uFIH6LH3872k9gZs5WYT_m8TSQxitlxv3FG7gr_V8tXwWLOc3t4Eq2Q priority: 102 providerName: ProQuest |
| Title | Local Scheduling in KubeEdge-Based Edge Computing Environment |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/36772562 https://www.proquest.com/docview/2774973507 https://www.proquest.com/docview/2775620699 https://pubmed.ncbi.nlm.nih.gov/PMC9921110 https://doaj.org/article/17a88a01ce8142c4ad924e606c36cbb7 |
| Volume | 23 |
| WOSCitedRecordID | wos000931351600001&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: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: DOA dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: M~E dateStart: 20010101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: 7X7 dateStart: 20010101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: BENPR dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content (ProQuest) customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: PIMPY dateStart: 20010101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwEB5B4QAHxLOklFVASHCJmsSJHwcOXZQKRLta8dJysvyYlJVQWnV3OfLbGSfZsBFIXLhEkT0HZ8aT-b7E_gzwIudG5eiyxBWcJYXgLjHe2SRAbV5Tve8Wj385FbOZXCzUfOeor7AmrJMH7hx3lAkjpUkzhzIrclcYT4wBCXY7xp217T7yVKgtmeqpFiPm1ekIMSL1RysC2owqVT6qPq1I_5-v4p1aNF4nuVN4Tu7CnR4xxsfdSO_BNWzuw-0dHcEH8Po0VKT4IwXAh5Xl5_Gyid9vLFb-HJMpFSofh9u4O8MhGFS_N7g9hM8n1ac3b5P-XITEEZxaJwZNXUpXKpaZwjJkXJnaIFovOQpbF6qwEjPGvRSSe5ciOmFzrmTqmUDDHsFec9HgY4hZKT2RQlca64oamTRUrJxlrvSWct9G8GrrL-160fBwdsV3TeQhuFYPro3g-WB62Sll_M1oGpw-GARx67aBQq77kOt_hTyClyFkOqQgDcaZficBPVIQs9LHhIrIJxkny8NtVHWfmyudE-JVghEQjuDZ0E1ZFX6VmAYvNq0NAcOUKxXBfjcJhjEzToyEeiMQo-kxeqhxT7P81ip3K0V8O0sP_ocXnsCtnCZ6-BzE0kPYW19t8CncdD_Wy9XVBK6LhWivcgI3ptVs_mHSpghdz35W1DZ_dzb_-gu7QhYS |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9QwEB6VLRJw4P0IFAgIBJeoSZw49qFCLWzV1W5XK1FQORm_sqyEsmUfIP4Uv5FxXt0IxK0HblE8ihz783wz9ngG4EVMJY-tjgKdUBIkGdWBNFoFztSmOfJ9FTz-cZSNx-z0lE-24FdzF8aFVTY6sVTUZq7dHvlujHYKzwiaL2_OvgWuapQ7XW1KaFSwGNqfP9BlW-4N3uH8vozjw_7J26OgrioQaDRGVoG0Mk-ZTjmJZKKIJZTLXFqrDKM2U3nCE8VsRKhhGaNGh9bqTMWUs9CQzEqC370E2wmCPezB9mRwPPnUungEPb4qfxEhPNxdooFPkCHjDuuVxQH-pIANDuzGZ24Q3uGN_22obsL12rT296u1cAu2bHEbrm0kXLwDeyNH3f57RKpxIfhTf1b4w7WyfTO1wQEyuvHdo18Vu3AC_fObgHfhw4X0_x70inlhH4BPUmbQe9apVDrJLWESWV0rolOjUEkqD143Eyx0nV3dFfn4KtDLclgQLRY8eN6KnlUpRf4mdOBQ0gq4LODli_liKmqlIqJMMibDSFsWJbFOpEFv2qJLqgnVSmUevHIYE05XYWe0rK9c4C-5rF9iH81HHJOIouROAyVRK7GlOMeRB8_aZlQ_7kxJFna-LmXQgg4p5x7cr1Db9plQdN2w1YOsg-fOT3VbitmXMsU55zGScPjw3916CleOTo5HYjQYDx_B1RjXn9sdI-EO9FaLtX0Ml_X31Wy5eFKvUx8-XzTefwNJKn-1 |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEB6VFKFy4F0wFDAIBBcrttfZx6FCDU1ElSiKeFS9mX05REJOyQPEX-PXMetXY4G49cDN8o6stf3tfPPZszMAL2IqRWx1FOiEkiBhVAfSaBW4UJtmyPdl8vjpmE0m_OxMTHfgV70XxqVV1j6xcNRmod038m6McYpgBMOXblalRUyPh2_OvwWug5T701q30yghMrI_f6B8Wx2eHOO7fhnHw8HHt--CqsNAoDEwWQfSyqzHdU-QSCaKWEKFzKS1ynBqmcoSkShuI0INZ5waHVqrmYqp4KEhzEqC170Cu4yg6OnAbn8wmb5v5B5B9VfWMiJEhN0VBvsE2TJuMWDRKOBPOtjiw3au5hb5DW_-z4_tFtyoQm7_qFwjt2HH5nfg-lYhxrtwOHaU7n9ABBuXmj_z57k_2ig7MDMb9JHpje8O_bIJhjMYXOwQvAefLmX--9DJF7l9AD7pcYOqWvek0klmCZfI9loR3TMKnafy4HX9slNdVV13zT--pqi-HC7SBhcePG9Mz8tSI38z6jvENAauOnhxYrGcpZWzSSMmOZdhpC2Pklgn0qDKtihVNaFaKebBK4e31PkwnIyW1VYMvCVXDSw9wrASn0lE0fKghlVaObdVeoEpD541w-iW3L8mmdvFprDByDqkQnhwv0RwM2dCUdLhqAeshe3WTbVH8vmXovS5EDGSc_jw39N6CtcQ5On4ZDJ6BHsxLkX30YyEB9BZLzf2MVzV39fz1fJJtWR9-HzZcP8NLLaITw |
| 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=Local+Scheduling+in+KubeEdge-Based+Edge+Computing+Environment&rft.jtitle=Sensors+%28Basel%2C+Switzerland%29&rft.au=Seong-Hyun+Kim&rft.au=Taehong+Kim&rft.date=2023-01-30&rft.pub=MDPI+AG&rft.eissn=1424-8220&rft.volume=23&rft.issue=3&rft.spage=1522&rft_id=info:doi/10.3390%2Fs23031522&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_17a88a01ce8142c4ad924e606c36cbb7 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1424-8220&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1424-8220&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1424-8220&client=summon |