Application Aware Workload Allocation for Edge Computing-Based IoT
Empowered by computing resources at the network edge, data sensed from Internet of Things (IoT) devices can be processed and stored in their nearby cloudlets to reduce the traffic load in the core network, while various IoT applications can be run in cloudlets to reduce the response time between IoT...
Uloženo v:
| Vydáno v: | IEEE internet of things journal Ročník 5; číslo 3; s. 2146 - 2153 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Piscataway
IEEE
01.06.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Témata: | |
| ISSN: | 2327-4662, 2327-4662 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Empowered by computing resources at the network edge, data sensed from Internet of Things (IoT) devices can be processed and stored in their nearby cloudlets to reduce the traffic load in the core network, while various IoT applications can be run in cloudlets to reduce the response time between IoT users (e.g., user equipment in mobile networks) and cloudlets. Considering the spatial and temporal dynamics of each application's workloads among cloudlets, the workload allocation among cloudlets for each IoT application affects the response time of the application's requests. While assigning IoT users' requests to their nearby cloudlets can minimize the network delay, the computing delay of a type of requests may be unbearable if the corresponding virtual machine of the application in a cloudlet is overloaded. To solve this problem, we design an application aware workload allocation scheme for edge computing-based IoT to minimize the response time of IoT application requests by deciding the destination cloudlets for each IoT user's different types of requests and the amount of computing resources allocated for each application in each cloudlet. In this scheme, both the network delay and computing delay are taken into account, i.e., IoT users' requests are more likely assigned to closer and lightly loaded cloudlets. Meanwhile, the scheme will dynamically adjust computing resources of different applications in each cloudlet based on their workloads, thus reducing the computing delay of all requests in the cloudlet. The performance of the proposed scheme has been validated by extensive simulations. |
|---|---|
| AbstractList | Empowered by computing resources at the network edge, data sensed from Internet of Things (IoT) devices can be processed and stored in their nearby cloudlets to reduce the traffic load in the core network, while various IoT applications can be run in cloudlets to reduce the response time between IoT users (e.g., user equipment in mobile networks) and cloudlets. Considering the spatial and temporal dynamics of each application's workloads among cloudlets, the workload allocation among cloudlets for each IoT application affects the response time of the application's requests. While assigning IoT users' requests to their nearby cloudlets can minimize the network delay, the computing delay of a type of requests may be unbearable if the corresponding virtual machine of the application in a cloudlet is overloaded. To solve this problem, we design an application aware workload allocation scheme for edge computing-based IoT to minimize the response time of IoT application requests by deciding the destination cloudlets for each IoT user's different types of requests and the amount of computing resources allocated for each application in each cloudlet. In this scheme, both the network delay and computing delay are taken into account, i.e., IoT users' requests are more likely assigned to closer and lightly loaded cloudlets. Meanwhile, the scheme will dynamically adjust computing resources of different applications in each cloudlet based on their workloads, thus reducing the computing delay of all requests in the cloudlet. The performance of the proposed scheme has been validated by extensive simulations. |
| Author | Ansari, Nirwan Qiang Fan |
| Author_xml | – sequence: 1 surname: Qiang Fan fullname: Qiang Fan email: qf4@njit.edu organization: Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA – sequence: 2 givenname: Nirwan surname: Ansari fullname: Ansari, Nirwan email: nirwan.ansari@njit.edu organization: Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA |
| BookMark | eNp9kFFLwzAQx4MoOOc-gPhS8LnzkrRp-tiNqZPBXiY-hiy9jsyuqUmH-O3t3BDxwac7uP_vjvtdkfPGNUjIDYUxpZDfP8-XqzEDKsdMMgEgzsiAcZbFiRDs_Fd_SUYhbAGgx1KaiwGZFG1bW6M765qo-NAeo1fn32qny6ioa3eaVM5Hs3KD0dTt2n1nm0080QHLaO5W1-Si0nXA0akOycvDbDV9ihfLx_m0WMSGp3kXC4RKIq2YlmlqQDBppEgQ-ZoxSBKKAIYJTJBxoZN8bWSpWck10CzTlSz5kNwd97beve8xdGrr9r7pTyoGadr_lGe8T2XHlPEuBI-VMrb7fqLz2taKgjo4Uwdn6uBMnZz1JP1Dtt7utP_8l7k9MhYRf_KScyGF4F-PO3ec |
| CODEN | IITJAU |
| CitedBy_id | crossref_primary_10_1007_s12083_021_01273_5 crossref_primary_10_1109_ACCESS_2021_3080133 crossref_primary_10_1016_j_icte_2024_08_007 crossref_primary_10_1155_2021_9959304 crossref_primary_10_1016_j_neucom_2021_03_141 crossref_primary_10_1109_ACCESS_2022_3141199 crossref_primary_10_1109_JIOT_2020_2966627 crossref_primary_10_3390_s20030889 crossref_primary_10_1186_s13677_021_00260_8 crossref_primary_10_1007_s10922_024_09857_1 crossref_primary_10_1109_ACCESS_2020_2982669 crossref_primary_10_1109_JIOT_2021_3111414 crossref_primary_10_1109_ACCESS_2019_2924032 crossref_primary_10_3390_s22165937 crossref_primary_10_1016_j_micpro_2020_103021 crossref_primary_10_1049_joe_2020_0134 crossref_primary_10_3390_en12224367 crossref_primary_10_1109_LCOMM_2019_2897008 crossref_primary_10_1109_TGCN_2019_2956626 crossref_primary_10_3390_s21051666 crossref_primary_10_3390_s20216181 crossref_primary_10_1007_s12083_021_01154_x crossref_primary_10_26636_jtit_2020_145220 crossref_primary_10_1109_TVLSI_2019_2902215 crossref_primary_10_1007_s13204_021_01970_w crossref_primary_10_1109_ACCESS_2019_2936437 crossref_primary_10_1109_TCC_2020_3043313 crossref_primary_10_1145_3398038 crossref_primary_10_1109_JIOT_2021_3078514 crossref_primary_10_1109_ACCESS_2021_3094033 crossref_primary_10_3390_app9224730 crossref_primary_10_1109_TCC_2021_3097879 crossref_primary_10_1109_JIOT_2022_3163820 crossref_primary_10_1109_TSC_2023_3296742 crossref_primary_10_1109_TNSM_2020_3010497 crossref_primary_10_1109_TNSM_2018_2888481 crossref_primary_10_1016_j_comcom_2020_04_056 crossref_primary_10_1109_ACCESS_2020_3033421 crossref_primary_10_1109_TCOMM_2019_2898573 crossref_primary_10_3390_s20051282 crossref_primary_10_1016_j_comcom_2020_05_016 crossref_primary_10_1109_TMC_2023_3237765 crossref_primary_10_1007_s12083_021_01106_5 crossref_primary_10_1109_JIOT_2021_3111079 crossref_primary_10_1016_j_jnca_2021_103303 crossref_primary_10_1016_j_asoc_2024_112560 crossref_primary_10_3390_sym13030402 crossref_primary_10_1007_s11276_019_02000_y crossref_primary_10_1109_JIOT_2021_3073113 crossref_primary_10_1186_s13638_022_02170_y crossref_primary_10_1016_j_jnca_2024_103867 crossref_primary_10_1109_ACCESS_2019_2934770 crossref_primary_10_1109_TVT_2020_2964659 crossref_primary_10_1109_JIOT_2021_3095308 crossref_primary_10_1007_s00607_021_00924_y crossref_primary_10_1109_ACCESS_2019_2946843 crossref_primary_10_1109_JIOT_2021_3091849 crossref_primary_10_1109_JIOT_2019_2948144 crossref_primary_10_1016_j_pmcj_2023_101751 crossref_primary_10_1007_s11227_025_07274_y crossref_primary_10_1007_s12652_019_01455_3 crossref_primary_10_3390_app9071353 crossref_primary_10_1109_ACCESS_2020_3020233 crossref_primary_10_1007_s10586_022_03710_3 crossref_primary_10_1016_j_jksuci_2021_10_003 crossref_primary_10_1109_JIOT_2020_2982305 crossref_primary_10_1109_ACCESS_2020_3002813 crossref_primary_10_1109_JIOT_2023_3237209 crossref_primary_10_3390_electronics9010048 crossref_primary_10_1109_TVT_2020_2982172 crossref_primary_10_1109_JIOT_2020_3044057 crossref_primary_10_32604_cmc_2023_033194 crossref_primary_10_1109_TNSM_2019_2894955 crossref_primary_10_1109_TWC_2024_3378351 crossref_primary_10_1186_s13677_021_00243_9 crossref_primary_10_1007_s00542_023_05550_6 crossref_primary_10_1038_s41598_023_41108_2 crossref_primary_10_3233_JIFS_179166 crossref_primary_10_1109_TETC_2020_2978229 crossref_primary_10_1016_j_jocs_2023_102106 crossref_primary_10_1109_ACCESS_2022_3183634 crossref_primary_10_32604_cmc_2021_018145 crossref_primary_10_1016_j_jnca_2018_09_006 crossref_primary_10_1109_TCC_2021_3064629 crossref_primary_10_1155_2021_3019009 crossref_primary_10_1109_TGCN_2018_2837618 crossref_primary_10_1109_TNET_2024_3507372 crossref_primary_10_1007_s11227_020_03536_z crossref_primary_10_1109_ACCESS_2023_3326244 crossref_primary_10_1155_2021_5520455 crossref_primary_10_1007_s10723_021_09558_y crossref_primary_10_1109_JIOT_2019_2914570 crossref_primary_10_1109_JIOT_2022_3210835 crossref_primary_10_1109_JIOT_2020_3019492 crossref_primary_10_1109_JIOT_2021_3073027 crossref_primary_10_1016_j_future_2019_02_050 crossref_primary_10_1155_2022_1113658 crossref_primary_10_1016_j_jestch_2025_102131 crossref_primary_10_1049_iet_com_2019_0813 crossref_primary_10_1016_j_procs_2020_04_161 crossref_primary_10_1109_TWC_2021_3071722 crossref_primary_10_1109_JIOT_2021_3103798 crossref_primary_10_1109_JIOT_2022_3190737 crossref_primary_10_1186_s13638_020_01805_2 crossref_primary_10_1109_ACCESS_2021_3074962 crossref_primary_10_1109_TVT_2019_2892176 crossref_primary_10_1109_TMC_2018_2877623 crossref_primary_10_1587_nolta_15_473 crossref_primary_10_1109_JIOT_2022_3168869 crossref_primary_10_1109_JIOT_2021_3090442 crossref_primary_10_1109_ACCESS_2024_3462499 crossref_primary_10_1109_JIOT_2019_2959124 crossref_primary_10_1109_ACCESS_2019_2961802 crossref_primary_10_1109_JIOT_2021_3072984 crossref_primary_10_1109_JSYST_2024_3403696 crossref_primary_10_1109_TWC_2020_3001012 crossref_primary_10_1016_j_comnet_2023_110144 crossref_primary_10_1016_j_iot_2024_101286 crossref_primary_10_1109_JIOT_2020_3007650 crossref_primary_10_1016_j_iot_2023_100996 crossref_primary_10_1109_JSAC_2019_2894306 crossref_primary_10_1109_TNSE_2018_2852762 crossref_primary_10_1109_JIOT_2020_3035542 crossref_primary_10_1109_TMC_2020_2970698 crossref_primary_10_1016_j_comnet_2022_109432 crossref_primary_10_1109_TMC_2021_3068748 crossref_primary_10_1016_j_comcom_2023_09_025 crossref_primary_10_1093_comjnl_bxab157 crossref_primary_10_1007_s11036_022_01977_9 crossref_primary_10_3390_e23091146 crossref_primary_10_1108_IJPCC_12_2021_0297 crossref_primary_10_1155_2022_1604478 crossref_primary_10_1109_JIOT_2018_2889503 crossref_primary_10_1109_TVT_2021_3076980 crossref_primary_10_1109_ACCESS_2019_2920325 crossref_primary_10_1109_JIOT_2021_3088493 crossref_primary_10_1109_TCOMM_2020_3022692 |
| Cites_doi | 10.1109/MCOM.2016.1600492CM 10.1109/TC.2015.2435781 10.1109/JIOT.2016.2565516 10.1109/WCNC.2016.7564850 10.1109/LCOMM.2017.2684812 10.1109/ICC.2017.7996722 10.1109/NOMS.2014.6838228 10.1109/JIOT.2016.2550561 10.1109/JIOT.2017.2688925 10.1109/LCOMM.2017.2690678 10.1587/transcom.2017NRI0001 10.1109/INFOCOM.2016.7524340 10.1109/JSEN.2016.2558184 10.1109/TPDS.2015.2510638 10.1109/LCOMM.2018.2801866 10.1109/PADSW.2014.7097814 10.1109/MCC.2015.14 10.1109/TCC.2015.2449834 10.1109/JIOT.2016.2584538 10.1007/978-3-319-15509-8_27 10.1109/IEEE.EDGE.2017.12 |
| ContentType | Journal Article |
| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 |
| Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 |
| DBID | 97E RIA RIE AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D |
| DOI | 10.1109/JIOT.2018.2826006 |
| DatabaseName | IEEE All-Society Periodicals Package (ASPP) 2005–Present IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) 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 |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 2327-4662 |
| EndPage | 2153 |
| ExternalDocumentID | 10_1109_JIOT_2018_2826006 8336866 |
| Genre | orig-research |
| GrantInformation_xml | – fundername: National Science Foundation grantid: CNS-1647170 funderid: 10.13039/100000001 |
| GroupedDBID | 0R~ 4.4 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABJNI ABQJQ ABVLG AGQYO AGSQL AHBIQ AKJIK AKQYR ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ EBS EJD IFIPE IPLJI JAVBF M43 OCL PQQKQ RIA RIE AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D |
| ID | FETCH-LOGICAL-c359t-6e0f8e1f2a855c0628c864ee3b220441e00c26e4e236a49bc8da2d3a0177af8d3 |
| IEDL.DBID | RIE |
| ISICitedReferencesCount | 177 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000435182100073&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2327-4662 |
| IngestDate | Sun Nov 09 07:37:01 EST 2025 Tue Nov 18 20:44:36 EST 2025 Sat Nov 29 06:16:44 EST 2025 Wed Aug 27 03:02:46 EDT 2025 |
| IsPeerReviewed | false |
| IsScholarly | true |
| Issue | 3 |
| 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-c359t-6e0f8e1f2a855c0628c864ee3b220441e00c26e4e236a49bc8da2d3a0177af8d3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0001-8541-3565 0000-0003-4940-7453 |
| PQID | 2055011973 |
| PQPubID | 2040421 |
| PageCount | 8 |
| ParticipantIDs | crossref_primary_10_1109_JIOT_2018_2826006 ieee_primary_8336866 crossref_citationtrail_10_1109_JIOT_2018_2826006 proquest_journals_2055011973 |
| PublicationCentury | 2000 |
| PublicationDate | 2018-06-01 |
| PublicationDateYYYYMMDD | 2018-06-01 |
| PublicationDate_xml | – month: 06 year: 2018 text: 2018-06-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Piscataway |
| PublicationPlace_xml | – name: Piscataway |
| PublicationTitle | IEEE internet of things journal |
| PublicationTitleAbbrev | JIoT |
| PublicationYear | 2018 |
| 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 | ref13 ref12 ref15 ref14 ref20 ref11 ref10 ref21 boyd (ref22) 2009 ref2 ref1 ref17 ref16 ref19 ref18 ref8 ref7 ref9 ref4 ref3 ref6 ref5 landa (ref23) 2013 |
| References_xml | – ident: ref11 doi: 10.1109/MCOM.2016.1600492CM – ident: ref18 doi: 10.1109/TC.2015.2435781 – start-page: 1 year: 2013 ident: ref23 article-title: The large-scale geography of Internet round trip times publication-title: Proc IFIP Netw Conf – ident: ref13 doi: 10.1109/JIOT.2016.2565516 – ident: ref19 doi: 10.1109/WCNC.2016.7564850 – ident: ref7 doi: 10.1109/LCOMM.2017.2684812 – ident: ref8 doi: 10.1109/ICC.2017.7996722 – ident: ref20 doi: 10.1109/NOMS.2014.6838228 – year: 2009 ident: ref22 publication-title: Convex optimization – ident: ref12 doi: 10.1109/JIOT.2016.2550561 – ident: ref15 doi: 10.1109/JIOT.2017.2688925 – ident: ref4 doi: 10.1109/LCOMM.2017.2690678 – ident: ref3 doi: 10.1587/transcom.2017NRI0001 – ident: ref6 doi: 10.1109/INFOCOM.2016.7524340 – ident: ref1 doi: 10.1109/JSEN.2016.2558184 – ident: ref9 doi: 10.1109/TPDS.2015.2510638 – ident: ref16 doi: 10.1109/LCOMM.2018.2801866 – ident: ref5 doi: 10.1109/PADSW.2014.7097814 – ident: ref2 doi: 10.1109/MCC.2015.14 – ident: ref17 doi: 10.1109/TCC.2015.2449834 – ident: ref10 doi: 10.1109/JIOT.2016.2584538 – ident: ref21 doi: 10.1007/978-3-319-15509-8_27 – ident: ref14 doi: 10.1109/IEEE.EDGE.2017.12 |
| SSID | ssj0001105196 |
| Score | 2.5446336 |
| Snippet | Empowered by computing resources at the network edge, data sensed from Internet of Things (IoT) devices can be processed and stored in their nearby cloudlets... |
| SourceID | proquest crossref ieee |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 2146 |
| SubjectTerms | Cloud computing Cloudlet Computer simulation Delay Delays Edge computing Internet of Things Internet of Things (IoT) Quality of service resource allocation Resource management Response time Response time (computers) Servers Time factors Wireless networks Workload workload allocation Workloads |
| Title | Application Aware Workload Allocation for Edge Computing-Based IoT |
| URI | https://ieeexplore.ieee.org/document/8336866 https://www.proquest.com/docview/2055011973 |
| Volume | 5 |
| WOSCitedRecordID | wos000435182100073&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: 2327-4662 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001105196 issn: 2327-4662 databaseCode: RIE dateStart: 20140101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NS8MwFH9sw4MXp05xOiUHT2K3tGnT9NjJhhOZHibsVtLkVYSxyj703zdpuw1RBG8tzQvlvb7-3mcewDVqV2mmbYaRSscglHIED5hjvAulfUZ1VEr6MRyPxXQaPdfgdtsLg4hF8Rl27WWRy9e5WttQWU8wxgXndaiHYVj2au3iKa41RniVuHRp1HsYPU1s7ZboGrfC4Dr_Bj3FLJUfP-ACVYbN_73PIRxU1iOJS3EfQQ3nx9DcTGYglaK2oB_v8tIk_pQLJDYqPsulJvHM4lfxxBisZKBfkZQ7GBRz-gbVNBnlkxN4GQ4md_dONS3BUSyIVg5Hmgl0M0-KIFC2NVIJ7iOy1POoMXqQUuVx9NFjXPpRqoSWnmbSqGQoM6HZKTTm-RzPgKQsFZ5v69d86atUSm1QTCoZUm7u0qwNdMPIRFVHiduJFrOkcClolFjeJ5b3ScX7NtxsSd7LczT-WtyyzN4urPjchs5GWkmlaUtDZ3wsmwtl579TXcC-3bss7-pAY7VY4yXsqY_V23JxVXxEX8rWxKQ |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LS8NAEB60CnrxVcX63IMnMe0mu9lujq20tFqrhwq9hc3uRITSSh_6991N0ooogreE7CRhJpNvnjsAV2h8bZhxGUaqPItQ2pMiZJ71LrThjJool3Sv3u_L4TB6WoObVS8MImbFZ1h1h1ku30z0woXKapIxIYVYh42Q88DPu7W-Iiq-M0dEkbr0aVS76z4OXPWWrFrHwiK7-AY-2TSVH7_gDFfau_97oz3YKexH0sgFvg9rOD6A3eVsBlKoahmaja_MNGl8qCkSFxcfTZQhjZFDsOyKNVlJy7wgye9gccxrWlwzpDsZHMJzuzW47XjFvARPszCaewJpKtFPAyXDULvmSC0FR2RJEFBr9iClOhDIMWBC8SjR0qjAMGWVsq5SadgRlMaTMR4DSVgiA-4q2LjiOlHKWBxTWtWpsGdJWgG6ZGSsi83E3UyLUZw5FTSKHe9jx_u44H0Frlckb_lOGn8tLjtmrxYWfK7A2VJacaFrM0tnvSyXDWUnv1NdwlZn8NCLe93-_Slsu-fkxV5nUJpPF3gOm_p9_jqbXmQf1CcvZsfr |
| 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=Application+Aware+Workload+Allocation+for+Edge+Computing-Based+IoT&rft.jtitle=IEEE+internet+of+things+journal&rft.au=Qiang+Fan&rft.au=Ansari%2C+Nirwan&rft.date=2018-06-01&rft.pub=IEEE&rft.eissn=2327-4662&rft.volume=5&rft.issue=3&rft.spage=2146&rft.epage=2153&rft_id=info:doi/10.1109%2FJIOT.2018.2826006&rft.externalDocID=8336866 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2327-4662&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2327-4662&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2327-4662&client=summon |