An Enhanced Firefly Algorithm for Time Shared Grid Task Scheduling
Grid computing is a computational paradigm that emerged to handle the increasing demand for computational resources. Several metaheuristics methods have been applied to tackle the grid task scheduling problem. These metaheuristics generally generate good but not optimal task schedules. Th...
Uložené v:
| Vydané v: | Applied artificial intelligence Ročník 35; číslo 15; s. 1567 - 1586 |
|---|---|
| Hlavný autor: | |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Philadelphia
Taylor & Francis
15.12.2021
Taylor & Francis Ltd Taylor & Francis Group |
| Predmet: | |
| ISSN: | 0883-9514, 1087-6545 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | Grid computing is a computational paradigm that emerged to handle the increasing demand for computational resources. Several metaheuristics methods have been applied to tackle the grid task scheduling problem. These metaheuristics generally generate good but not optimal task schedules. The aim of this paper is to design and implement a grid task scheduling mechanism to map clients' tasks to available resources in order to finish the submitted tasks within the optimal execution time. The paper proposes an enhanced time shared metaheuristics mechanism based on Firefly Algorithm to improve the grid job scheduling process. The proposed mechanism utilizes the Smallest Position Value (SPV) technique to handle the scheduling problem as permutations. Experiments using simulations and real workload traces were conducted to study the performance of the proposed enhanced time shared metaheuristic scheduling mechanism. Empirical results revealed that the proposed timed shared metaheuristic algorithm can efficiently reduce the makespan time to 1851 compared with 3482, 3185 for Tabu search and genetic algorithm, respectively. |
|---|---|
| AbstractList | Grid computing is a computational paradigm that emerged to handle the increasing demand for computational resources. Several metaheuristics methods have been applied to tackle the grid task scheduling problem. These metaheuristics generally generate good but not optimal task schedules. The aim of this paper is to design and implement a grid task scheduling mechanism to map clients’ tasks to available resources in order to finish the submitted tasks within the optimal execution time. The paper proposes an enhanced time shared metaheuristics mechanism based on Firefly Algorithm to improve the grid job scheduling process. The proposed mechanism utilizes the Smallest Position Value (SPV) technique to handle the scheduling problem as permutations. Experiments using simulations and real workload traces were conducted to study the performance of the proposed enhanced time shared metaheuristic scheduling mechanism. Empirical results revealed that the proposed timed shared metaheuristic algorithm can efficiently reduce the makespan time to 1851 compared with 3482, 3185 for Tabu search and genetic algorithm, respectively. |
| Author | Yousif, Adil |
| Author_xml | – sequence: 1 givenname: Adil orcidid: 0000-0002-7584-5775 surname: Yousif fullname: Yousif, Adil email: adiluofk@gmail.com;ayalfaki@nu.edu.sa organization: Najran University |
| BookMark | eNqFkd9qFDEYxYNUcFt9BGHA61m__Jtk8MaltLVY8KLrdch8yexmnU1qZpaydz6BD-mTmHHbGy8UAoGTcw6H_M7JWUzRE_KWwpKChvegNW8lFUsGjC5pq5UC_YIsyqOqGynkGVnMnno2vSLn47gDAKoUXZDPq1hdxa2N6F11HbLvh2O1GjYph2m7r_qUq3XY--rXj5_l3G9tLr6bHFy1tuO3Wb7HrXeHIcTNa_Kyt8Po3zzdF-Tr9dX68lN99-Xm9nJ1VyNvGl0j6AY4UtYoBOo0U53lUihl-45T1D22nUSHTLSWacpli6zpey5n3aPiF-T21OuS3ZmHHPY2H02ywfwRUt4Ym6eAgzfgtKet64SSKLSUGpUQ0LVoGwpSQOl6d-p6yOn7wY-T2aVDjmW-YY0oozRns-vDyYU5jWP5JINhslNIcco2DIaCmUmYZxJmJmGeSJS0_Cv9vPl_uY-nXIiFw94-pjw4M9njkHKfC7IwGv7vit_A6aFb |
| CitedBy_id | crossref_primary_10_1007_s10115_023_02048_5 crossref_primary_10_32604_cmes_2025_059786 crossref_primary_10_3390_math12020281 |
| Cites_doi | 10.1007/978-1-84882-983-1_15 10.1023/A:1009625629722 10.1007/s10723-018-09472-w 10.1007/s00542-019-04673-z 10.1109/ICCSIT.2010.5564753 10.1007/s13369-014-1558-9 10.1109/ISDA.2006.253921 10.1002/dac.4467 10.1007/978-981-15-0306-1_1 10.1088/1742-6596/1432/1/012061 10.1016/j.jclepro.2019.118869 10.4018/IJDST.2018100102 10.1016/j.ejor.2005.12.024 10.1049/trit.2018.0001 10.1109/CEC.2018.8477765 10.1117/1.2192497 10.1016/j.eswa.2019.112968 10.1007/978-981-10-8681-6_73 10.1016/j.simpat.2020.102228 10.4018/978-1-5225-5832-3.ch015 10.1016/j.simpat.2021.102353 10.1002/cpe.710 10.1016/j.future.2008.02.003 10.1016/j.swevo.2011.06.003 10.1007/978-3-319-02141-6_13 10.1016/j.asoc.2018.05.032 10.1371/journal.pone.0177567 10.1109/STUDENT.2012.6408373 10.14257/ijgdc.2016.9.3.23 10.1016/j.trb.2019.12.004 10.1007/978-3-030-24318-0_77 |
| ContentType | Journal Article |
| Copyright | 2021 Taylor & Francis 2021 2021 Taylor & Francis |
| Copyright_xml | – notice: 2021 Taylor & Francis 2021 – notice: 2021 Taylor & Francis |
| DBID | AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D DOA |
| DOI | 10.1080/08839514.2021.1987708 |
| 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 DOAJ Directory of Open Access Journals |
| 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: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1087-6545 |
| EndPage | 1586 |
| ExternalDocumentID | oai_doaj_org_article_0d8e19db475c48558c7440b9ca610540 10_1080_08839514_2021_1987708 1987708 |
| Genre | Research Article |
| GroupedDBID | .4S .7F .DC .QJ 0YH 23M 2DF 30N 4.4 5GY 5VS 8VB AAENE AAFWJ AAJMT ABCCY ABDBF ABFIM ABHAV ABIVO ABPEM ABTAI ACGEJ ACGFS ACGOD ACNCT ACTIO ACUHS ADCVX ADMLS ADXPE AEISY AEMOZ AENEX AEOZL AEPSL AEYOC AFKVX AFPKN AGMYJ AHQJS AIJEM AIYEW AJWEG AKVCP ALMA_UNASSIGNED_HOLDINGS ALQZU AQRUH AQTUD ARCSS AVBZW AWYRJ BLEHA CCCUG CE4 CS3 DGEBU DKSSO EAP EBR EBS EBU ECS EDO EMK EPL EST ESX E~A E~B F5P GTTXZ H13 HF~ HZ~ H~9 H~P I-F IPNFZ J.P K1G KYCEM LJTGL M4Z MK~ NA5 NX~ O9- P2P PQQKQ QWB RIG S-T SNACF TDBHL TFL TFW TH9 TNC TTHFI TUS TWF UT5 UU3 ZL0 ~S~ AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D GROUPED_DOAJ |
| ID | FETCH-LOGICAL-c3668-c08603c1267c01d827ba35477afb31c8fc9b5cdc249a281359c26ff35c9b5ec73 |
| IEDL.DBID | TFW |
| ISSN | 0883-9514 |
| IngestDate | Mon Nov 10 04:33:32 EST 2025 Mon Jun 30 04:11:46 EDT 2025 Sat Nov 29 03:21:25 EST 2025 Tue Nov 18 21:52:34 EST 2025 Mon Oct 20 23:47:56 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 15 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c3668-c08603c1267c01d827ba35477afb31c8fc9b5cdc249a281359c26ff35c9b5ec73 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-7584-5775 |
| OpenAccessLink | https://doaj.org/article/0d8e19db475c48558c7440b9ca610540 |
| PQID | 2644778320 |
| PQPubID | 53050 |
| PageCount | 20 |
| ParticipantIDs | crossref_primary_10_1080_08839514_2021_1987708 proquest_journals_2644778320 informaworld_taylorfrancis_310_1080_08839514_2021_1987708 doaj_primary_oai_doaj_org_article_0d8e19db475c48558c7440b9ca610540 crossref_citationtrail_10_1080_08839514_2021_1987708 |
| PublicationCentury | 2000 |
| PublicationDate | 12/15/2021 |
| PublicationDateYYYYMMDD | 2021-12-15 |
| PublicationDate_xml | – month: 12 year: 2021 text: 12/15/2021 day: 15 |
| PublicationDecade | 2020 |
| PublicationPlace | Philadelphia |
| PublicationPlace_xml | – name: Philadelphia |
| PublicationTitle | Applied artificial intelligence |
| PublicationYear | 2021 |
| Publisher | Taylor & Francis Taylor & Francis Ltd Taylor & Francis Group |
| Publisher_xml | – name: Taylor & Francis – name: Taylor & Francis Ltd – name: Taylor & Francis Group |
| References | DE ROURE D. (cit0007) 2003; 13 cit0033 cit0012 cit0034 cit0031 cit0010 cit0030 Khan S. U. (cit0014) 2012 Wang Q. (cit0032) 2006 ZHENG S. (cit0043) 2006 cit0019 cit0017 cit0039 cit0015 cit0037 cit0016 SINHA P. (cit0028) 2019 cit0013 cit0035 cit0036 cit0022 cit0001 cit0023 cit0020 cit0042 cit0021 cit0040 cit0041 YOUSIF A. (cit0038) 2011; 33 Pooranian Z. (cit0018) 2011 cit0008 cit0009 cit0006 cit0029 cit0004 cit0026 cit0005 cit0027 cit0002 cit0024 cit0003 GHOSH T. K. (cit0011) 2019 cit0025 |
| References_xml | – ident: cit0034 doi: 10.1007/978-1-84882-983-1_15 – volume: 33 start-page: 155 year: 2011 ident: cit0038 publication-title: Journal of Theoretical and Applied Information Technology – ident: cit0030 doi: 10.1023/A:1009625629722 – start-page: 705 volume-title: IMSCCS’06. First International Multi-Symposiums on year: 2006 ident: cit0032 – volume: 13 start-page: 14 year: 2003 ident: cit0007 publication-title: Making the Global Infrastructure a Reality – ident: cit0015 doi: 10.1007/s10723-018-09472-w – start-page: 873 volume-title: International Conference on Information Technology and Applied Mathematics year: 2019 ident: cit0011 – ident: cit0016 doi: 10.1007/s00542-019-04673-z – ident: cit0008 doi: 10.1109/ICCSIT.2010.5564753 – ident: cit0022 doi: 10.1007/s13369-014-1558-9 – ident: cit0042 doi: 10.1109/ISDA.2006.253921 – ident: cit0026 doi: 10.1002/dac.4467 – ident: cit0009 doi: 10.1007/978-981-15-0306-1_1 – start-page: 387 volume-title: Intelligent communication technologies and virtual mobile networks year: 2019 ident: cit0028 – ident: cit0003 doi: 10.1088/1742-6596/1432/1/012061 – ident: cit0025 doi: 10.1016/j.jclepro.2019.118869 – ident: cit0002 doi: 10.4018/IJDST.2018100102 – ident: cit0029 doi: 10.1016/j.ejor.2005.12.024 – ident: cit0033 doi: 10.1049/trit.2018.0001 – ident: cit0037 doi: 10.1109/CEC.2018.8477765 – ident: cit0021 – ident: cit0006 doi: 10.1117/1.2192497 – ident: cit0017 doi: 10.1016/j.eswa.2019.112968 – ident: cit0020 doi: 10.1007/978-981-10-8681-6_73 – ident: cit0031 doi: 10.1016/j.simpat.2020.102228 – start-page: 316 volume-title: Innovative Computing, Information and Control, 2006. ICICIC’06. First International Conference on year: 2006 ident: cit0043 – ident: cit0010 doi: 10.4018/978-1-5225-5832-3.ch015 – ident: cit0027 doi: 10.1016/j.simpat.2021.102353 – ident: cit0004 doi: 10.1002/cpe.710 – ident: cit0013 doi: 10.1016/j.future.2008.02.003 – ident: cit0023 doi: 10.1016/j.swevo.2011.06.003 – ident: cit0041 – ident: cit0035 doi: 10.1109/CEC.2018.8477765 – ident: cit0040 doi: 10.1007/978-3-319-02141-6_13 – ident: cit0036 doi: 10.1016/j.asoc.2018.05.032 – ident: cit0012 doi: 10.1371/journal.pone.0177567 – start-page: 327 volume-title: Proceedings of International Conference on Future Information Technology year: 2011 ident: cit0018 – ident: cit0039 doi: 10.1109/STUDENT.2012.6408373 – ident: cit0001 doi: 10.14257/ijgdc.2016.9.3.23 – ident: cit0005 – ident: cit0024 doi: 10.1016/j.trb.2019.12.004 – year: 2012 ident: cit0014 publication-title: Information Sciences 214: 1-19 – ident: cit0019 doi: 10.1007/978-3-030-24318-0_77 |
| SSID | ssj0001771 |
| Score | 2.2735083 |
| Snippet | Grid computing is a computational paradigm that emerged to handle the increasing demand for computational resources. Several metaheuristics methods have... |
| SourceID | doaj proquest crossref informaworld |
| SourceType | Open Website Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1567 |
| SubjectTerms | Algorithms Computational grids Genetic algorithms Heuristic methods Permutations Scheduling Tabu search Task scheduling |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NbtQwELaqikMv_BXEQkE-9Jpix0lsHxfUpRJVhUSLerPsid2u2KZod0HixhPwkDwJM4lTrehhL0g5jWzZmhmP54vtbxg7FDqlKjZlYYX3BeIvXwQfRRFtgraOPome8ebLqT47M5eX9tNGqS-6EzbQAw-KeytaE6VtQ6VrICITA0RpFyx43Pgx3aDoK7QdwVSOwVL3UAuXkCowh6jGtzvEqo0yEiE2LOURYW5NtSU3dqWevP8f6tJ7obrff2aP2cOcOPLpMOEnbCd2T9mjsSgDz2t0n32cdvy4u-4P9vkMA1pa_OTTxdXtcr6-vuE4FqdnH_zPr9_4EV8ztvuwnLf83K--kvgz2rGlC-pXz9jF7Pj8_UmRKyYUoJrGFIAARSiQZaNByNaUOnhVV1r7FJQEk8CGGlpAzOVLI1VtoWxSUjXJI2j1nO12t118wbiPPoQGUGzqykcbgghSpoAqB2uCnrBq1JiDTCdOVS0WTo6so1nRjhTtsqIn7Oiu27eBT2Nbh3dkjrvGRIfdC9BJXHYSt81JJsxuGtOt-78haShd4tSWCRyMlnd5fa8cpZFaYzQUL__H_F6xPRqSrsnI-oDtrpff42v2AH6s56vlm961_wJW9_bh priority: 102 providerName: Directory of Open Access Journals |
| Title | An Enhanced Firefly Algorithm for Time Shared Grid Task Scheduling |
| URI | https://www.tandfonline.com/doi/abs/10.1080/08839514.2021.1987708 https://www.proquest.com/docview/2644778320 https://doaj.org/article/0d8e19db475c48558c7440b9ca610540 |
| Volume | 35 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAWR databaseName: Taylor and Francis Online Journals customDbUrl: eissn: 1087-6545 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001771 issn: 0883-9514 databaseCode: TFW dateStart: 19870101 isFulltext: true titleUrlDefault: https://www.tandfonline.com providerName: Taylor & Francis |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NbtQwELZQxYEL5VcsLZUPXFPsOInt41J1QQJVSCzQm2VP7O2KJVslCxI3noCH5Enq8TorfoR6ACmXjDyWM5kZz1jjbwh5ymQIlW_KQjNri5h_2cJZzwqvA7S1t4ElxJv3r-XZmTo_129yNeGQyyoxhw5boIjkq9G4rRvGirhn0TBEDAzwRKTkx5g1y3TdN279aJrz2YedL-YypVzIUSDLeIfnb7P8sjslEP_fIEz_cNlpH5rt_4cvuENu5yCUTrdac5fc8N09sj82eKDZ3u-TV9OOnnYXqUiAzqJzDKuvdLparPvl5uITjeuleIWE_vj2PT6I_RzHveiXLZ3b4SOS30adaLHYffGAvJudzk9eFrn7QgGiaVQBMdlhAnjZSGC8VaV0VtSVlDY4wUEF0K6GFmL-ZkvFRa2hbEIQNdI9SPGQ7HXrzj8i1HrrXAORrOrKeu0cc5wHF6NF0MrJCalGqRvI0OTYIWNl-IhgmgVmUGAmC2xCjndsl1tsjusYnuMv3Q1GaO1EWPcLky3VsFZ5rltXyRoQOUcBYig6DTZGmnHFE6J_VgizSScrYdsGxYhrFnA4ao_JvmIwGJJKGT0re_wPUx-QW_iKlTa8PiR7m_6zf0JuwpfNcuiP0lHDUbKNKyJzCVM |
| linkProvider | Taylor & Francis |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NbtQwELZQQYIL5VcsFPCBa0ocx7F93KIuRV32wgK9WfbE3q66ZFF2qdQbT8BD9knweJNVAaEeQMpp4rGcycx4xpr5TMirXIZQ-qrIdG5tFvMvmznr88zrALXwNuQJ8ebTWE4m6uREX-2FwbJKzKHDBigi-Wo0bjyM7kviXkfL4DEywCORgu1j2iyx3_emiHst4udPR5-33pjJlHQhS4Y8fRfP36b5ZX9KMP6_gZj-4bTTTjTa_R_fcI_c7eJQOtwozn1ywzcPyG5_xwPtTP4hOR429LA5TXUCdBT9Y1hc0OFitmzn69MvNC6YYhcJvfz-Iz4I_xzHvW3nNZ3a1RmSP0S1qLHeffaIfBwdTt8cZd0FDBnwqlIZxHwn58CKSkLOalVIZ7kopbTBcQYqgHYCaogpnC0U40JDUYXABdI9SP6Y7DTLxj8h1HrrXAWRrERpvXYud4wFFwNG0MrJASl7sRvo0MnxkoyFYT2IaScwgwIzncAGZH_L9nUDz3EdwwH-0-1gRNdOhGU7M52xmrxWnunalVIAgucoQBhFp8HGYDOueED0VY0w63S4EjY3oRh-zQL2evUxnbtYGYxKpYzONX_6D1O_JLePpu_HZvxucvyM3MFXWHjDxB7ZWbff_HNyC87X81X7IpnIT6uYDIg |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NbtQwELZQQYgL5VdsKeAD15Q4TmL7uEADqNWqEgv0ZtkTe7tiyVbZLRI3noCH5EnweJ0VP0I9gJTTxGM5k5nxjDX-hpCnufC-dHWRqdyYLORfJrPG5ZlTHtrKGZ9HxJv3x2Iykaen6iRVE65SWSXm0H4DFBF9NRr3eeuHirhnwTB4CAzwRKRgB5g1C7zuezWEzjUq-bT5sHXGTMScC1ky5Bku8fxtml-2p4ji_xuG6R8-O25Eze5_-IRb5GaKQul4oza3yRXX3SG7Q4cHmgz-Ljkad_SwO4tVArQJ3tEvvtDxYrbs5-uzTzSsl-IdEvr967fwIPhzGPeqn7d0alYfkfw2KEWL1e6ze-Rdczh98TpL7Rcy4HUtMwjZTs6BFbWAnLWyENbwqhTCeMsZSA_KVtBCSOBMIRmvFBS197xCugPB75Odbtm5B4QaZ6ytIZBlVRqnrM0tY96GcBGUtGJEykHqGhI2ObbIWGg2QJgmgWkUmE4CG5GDLdv5BpzjMobn-Eu3gxFbOxKW_UwnU9V5Kx1TrS1FBQidIwFBFK0CE0LNsOIRUT8rhF7HoxW_6YOi-SUL2B-0RydnsdIYkwoRXGu-9w9TPyHXT142-vjN5OghuYFvsOqGVftkZ91fuEfkGnxez1f942ggPwBxiQs6 |
| 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+Enhanced+Firefly+Algorithm+for+Time+%E2%80%8E%E2%80%8EShared+Grid+Task+%E2%80%8EScheduling&rft.jtitle=Applied+artificial+intelligence&rft.au=Yousif%2C+Adil&rft.date=2021-12-15&rft.issn=0883-9514&rft.eissn=1087-6545&rft.volume=35&rft.issue=15&rft.spage=1567&rft.epage=1586&rft_id=info:doi/10.1080%2F08839514.2021.1987708&rft.externalDBID=n%2Fa&rft.externalDocID=10_1080_08839514_2021_1987708 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0883-9514&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0883-9514&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0883-9514&client=summon |