Cost Minimized PSO based Workflow Scheduling Plan for Cloud Computing Article Swipe
YOU?
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· 2015
· Open Access
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· DOI: https://doi.org/10.5815/ijitcs.2015.08.06
Cloud computing is a collection of heterogeneous virtualized resources that can be accessed on-demand to service applications. Scheduling large and complex workflows becomes a challenging issue in cloud computing with a requirement that the execution time as well as cost incurred by using a set of heterogeneous cloud resources should be minimizes simultaneously. In this paper, we have extended our previously proposed Bi-Criteria Priority based Particle Swarm Optimization (BPSO) algorithm to schedule workflow tasks over the available cloud resources under given the deadline and budget constraints while considering the confirmed reservation of the resources. The extended heuristic is simulated and comparison is done with state-of-art algorithms. The simulation results show that extended BPSO algorithm also decreases the execution cost of schedule as compared to state-of-art algorithms under the same deadline and budget constraint while considering the exiting load of the resources too.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5815/ijitcs.2015.08.06
- https://www.mecs-press.org/ijitcs/ijitcs-v7-n8/IJITCS-V7-N8-6.pdf
- OA Status
- bronze
- Cited By
- 22
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W825250766
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W825250766Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5815/ijitcs.2015.08.06Digital Object Identifier
- Title
-
Cost Minimized PSO based Workflow Scheduling Plan for Cloud ComputingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-07-08Full publication date if available
- Authors
-
Amandeep Verma, Sakshi KaushalList of authors in order
- Landing page
-
https://doi.org/10.5815/ijitcs.2015.08.06Publisher landing page
- PDF URL
-
https://www.mecs-press.org/ijitcs/ijitcs-v7-n8/IJITCS-V7-N8-6.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://www.mecs-press.org/ijitcs/ijitcs-v7-n8/IJITCS-V7-N8-6.pdfDirect OA link when available
- Concepts
-
Computer science, Cloud computing, Distributed computing, Workflow, Scheduling (production processes), Reservation, Schedule, Particle swarm optimization, Mathematical optimization, Database, Algorithm, Operating system, Computer network, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
22Total citation count in OpenAlex
- Citations by year (recent)
-
2022: 1, 2021: 1, 2020: 5, 2019: 3, 2018: 4Per-year citation counts (last 5 years)
- References (count)
-
20Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Optimization | 67 |
| abstract_inverted_index.state-of-art | 104, 124 |
| abstract_inverted_index.applications. | 16 |
| abstract_inverted_index.heterogeneous | 6, 46 |
| abstract_inverted_index.simultaneously. | 52 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.5299999713897705 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.97693015 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |