Fuzzy-epo Optimization Technique for Optimised Resource Allocation and Minimum Energy Consumption With the Brownout Algorithm. Article Swipe
Jitendra Kumar Samariya
,
Rajeev Tiwari
,
Mohammad S. Obaidat
,
Gaurav Bathla
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-945687/v1
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-945687/v1
Cloud Computing is an eminent and reputable agenda which relies on large-scale distributed processing to provide access to their resources and services. In the cloud environment a rigorous management system is mandatory to collect all information regarding task processing levels and proving impartial resource provisioning through the levels of Quality of Service (QoS). These concerns can be settled by employing a meta-heuristic optimization-based resource management. Subsequently, this paper presents a Fuzzy Emperor Penguin Optimization (Fuzzy-EPO) algorithm-based resource provisioning framework for heterogeneous cloud environment. To deploy the optimal set of virtual machines (VM) to physical machines the VM allocation model is employed. The proposed Fuzzy-EPO algorithm does the VM consolidation mainly to reallocate overloaded VM to under-loaded PM to minimize the migration time and the brownout mechanism is adopted to reduce the rate of energy consumption. CloudSim simulation platform is used to implement the proposed system. The simulation results expose that the proposed Fuzzy -EPO based system is effective in restraining the proportion of SLA violation and increasing QoS requirements for providing proficient cloud service
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-945687/v1
- https://www.researchsquare.com/article/rs-945687/latest.pdf
- OA Status
- gold
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4283769863
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4283769863Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.21203/rs.3.rs-945687/v1Digital Object Identifier
- Title
-
Fuzzy-epo Optimization Technique for Optimised Resource Allocation and Minimum Energy Consumption With the Brownout Algorithm.Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-07-01Full publication date if available
- Authors
-
Jitendra Kumar Samariya, Rajeev Tiwari, Mohammad S. Obaidat, Gaurav BathlaList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-945687/v1Publisher landing page
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https://www.researchsquare.com/article/rs-945687/latest.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.researchsquare.com/article/rs-945687/latest.pdfDirect OA link when available
- Concepts
-
Mathematical optimization, Energy consumption, Computer science, Fuzzy logic, Resource consumption, Algorithm, Consumption (sociology), Energy (signal processing), Artificial intelligence, Mathematics, Engineering, Statistics, Biology, Electrical engineering, Sociology, Ecology, Social scienceTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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26Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Service | 52 |
| abstract_inverted_index.adopted | 128 |
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| abstract_inverted_index.eminent | 5 |
| abstract_inverted_index.optimal | 87 |
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| abstract_inverted_index.results | 148 |
| abstract_inverted_index.service | 174 |
| abstract_inverted_index.settled | 58 |
| abstract_inverted_index.system. | 145 |
| abstract_inverted_index.through | 46 |
| abstract_inverted_index.virtual | 90 |
| abstract_inverted_index.CloudSim | 136 |
| abstract_inverted_index.brownout | 125 |
| abstract_inverted_index.concerns | 55 |
| abstract_inverted_index.machines | 91, 95 |
| abstract_inverted_index.minimize | 119 |
| abstract_inverted_index.physical | 94 |
| abstract_inverted_index.platform | 138 |
| abstract_inverted_index.presents | 69 |
| abstract_inverted_index.proposed | 103, 144, 152 |
| abstract_inverted_index.resource | 44, 64, 77 |
| abstract_inverted_index.rigorous | 28 |
| abstract_inverted_index.Computing | 2 |
| abstract_inverted_index.Fuzzy-EPO | 104 |
| abstract_inverted_index.algorithm | 105 |
| abstract_inverted_index.effective | 158 |
| abstract_inverted_index.employed. | 101 |
| abstract_inverted_index.employing | 60 |
| abstract_inverted_index.framework | 79 |
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| abstract_inverted_index.implement | 142 |
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| abstract_inverted_index.regarding | 37 |
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| abstract_inverted_index.services. | 22 |
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| abstract_inverted_index.allocation | 98 |
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| abstract_inverted_index.proportion | 162 |
| abstract_inverted_index.reallocate | 112 |
| abstract_inverted_index.simulation | 137, 147 |
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| abstract_inverted_index.information | 36 |
| abstract_inverted_index.large-scale | 12 |
| abstract_inverted_index.management. | 65 |
| abstract_inverted_index.restraining | 160 |
| abstract_inverted_index.Optimization | 74 |
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| abstract_inverted_index.provisioning | 45, 78 |
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| abstract_inverted_index.meta-heuristic | 62 |
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| abstract_inverted_index.optimization-based | 63 |
| abstract_inverted_index.<title>Abstract</title> | 0 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.5899999737739563 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.09193084 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |