Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment
<p dir="ltr">Cloud computing is one of the most commonly used infrastructures for carrying out activities using virtual machines known as processing units. One of the most fundamental issues with cloud computing is task scheduling. The optimal determination of scheduling criteria in...
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2022
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| _version_ | 1864513506036940800 |
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| author | Sachi Gupta (19560268) |
| author2 | Sailesh Iyer (19560271) Gaurav Agarwal (107644) Poongodi Manoharan (17727687) Abeer D. Algarni (18288967) Ghadah Aldehim (19560274) Kaamran Raahemifar (707645) |
| author2_role | author author author author author author |
| author_facet | Sachi Gupta (19560268) Sailesh Iyer (19560271) Gaurav Agarwal (107644) Poongodi Manoharan (17727687) Abeer D. Algarni (18288967) Ghadah Aldehim (19560274) Kaamran Raahemifar (707645) |
| author_role | author |
| dc.creator.none.fl_str_mv | Sachi Gupta (19560268) Sailesh Iyer (19560271) Gaurav Agarwal (107644) Poongodi Manoharan (17727687) Abeer D. Algarni (18288967) Ghadah Aldehim (19560274) Kaamran Raahemifar (707645) |
| dc.date.none.fl_str_mv | 2022-08-16T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/electronics11162557 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Efficient_Prioritization_and_Processor_Selection_Schemes_for_HEFT_Algorithm_A_Makespan_Optimizer_for_Task_Scheduling_in_Cloud_Environment/26965135 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Electrical engineering Information and computing sciences Information systems cloud computing NP-complete task scheduling HEFT |
| dc.title.none.fl_str_mv | Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Cloud computing is one of the most commonly used infrastructures for carrying out activities using virtual machines known as processing units. One of the most fundamental issues with cloud computing is task scheduling. The optimal determination of scheduling criteria in cloud computing is a non-deterministic polynomial-time (NP)-complete optimization problem, and several procedures to manage this problem have been suggested by researchers in the past. Among these methods, the Heterogeneous Earliest Finish Time (HEFT) algorithm is recognized to produce optimal outcomes in a shorter time period for scheduling tasks in a heterogeneous environment. Literature shows that HEFT gives extraordinary results in terms of quality of schedule and execution time. However, in some cases, the average computation cost and selection of the first idle slot may not produce a good solution. Therefore, here we propose modified versions of the HEFT algorithm that can obtain improved results. In the rank generation phase, we implement different methodologies for calculating ranks, while in the processor selection phase, we modify the way of selecting idle slots for scheduling the tasks. This paper suggests enhanced versions of the HEFT algorithm under user-required financial constraints to minimize the makespan of a specified workflow submission on virtual machines. Our findings also suggest that enhanced versions of the HEFT algorithm perform better than the basic HEFT method in terms of lesser schedule length of the workflow problems running on various virtual machines.</p><h2>Other Information</h2><p dir="ltr">Published in: Electronics<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/electronics11162557" target="_blank">https://dx.doi.org/10.3390/electronics11162557</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_75f96cae1d97fffc78407468a16841ea |
| identifier_str_mv | 10.3390/electronics11162557 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26965135 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud EnvironmentSachi Gupta (19560268)Sailesh Iyer (19560271)Gaurav Agarwal (107644)Poongodi Manoharan (17727687)Abeer D. Algarni (18288967)Ghadah Aldehim (19560274)Kaamran Raahemifar (707645)EngineeringElectrical engineeringInformation and computing sciencesInformation systemscloud computingNP-completetask schedulingHEFT<p dir="ltr">Cloud computing is one of the most commonly used infrastructures for carrying out activities using virtual machines known as processing units. One of the most fundamental issues with cloud computing is task scheduling. The optimal determination of scheduling criteria in cloud computing is a non-deterministic polynomial-time (NP)-complete optimization problem, and several procedures to manage this problem have been suggested by researchers in the past. Among these methods, the Heterogeneous Earliest Finish Time (HEFT) algorithm is recognized to produce optimal outcomes in a shorter time period for scheduling tasks in a heterogeneous environment. Literature shows that HEFT gives extraordinary results in terms of quality of schedule and execution time. However, in some cases, the average computation cost and selection of the first idle slot may not produce a good solution. Therefore, here we propose modified versions of the HEFT algorithm that can obtain improved results. In the rank generation phase, we implement different methodologies for calculating ranks, while in the processor selection phase, we modify the way of selecting idle slots for scheduling the tasks. This paper suggests enhanced versions of the HEFT algorithm under user-required financial constraints to minimize the makespan of a specified workflow submission on virtual machines. Our findings also suggest that enhanced versions of the HEFT algorithm perform better than the basic HEFT method in terms of lesser schedule length of the workflow problems running on various virtual machines.</p><h2>Other Information</h2><p dir="ltr">Published in: Electronics<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/electronics11162557" target="_blank">https://dx.doi.org/10.3390/electronics11162557</a></p>2022-08-16T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/electronics11162557https://figshare.com/articles/journal_contribution/Efficient_Prioritization_and_Processor_Selection_Schemes_for_HEFT_Algorithm_A_Makespan_Optimizer_for_Task_Scheduling_in_Cloud_Environment/26965135CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/269651352022-08-16T09:00:00Z |
| spellingShingle | Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment Sachi Gupta (19560268) Engineering Electrical engineering Information and computing sciences Information systems cloud computing NP-complete task scheduling HEFT |
| status_str | publishedVersion |
| title | Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment |
| title_full | Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment |
| title_fullStr | Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment |
| title_full_unstemmed | Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment |
| title_short | Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment |
| title_sort | Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment |
| topic | Engineering Electrical engineering Information and computing sciences Information systems cloud computing NP-complete task scheduling HEFT |