Optimization of datacenter selection through a genetic algorithm-driven service broker policy
Abstract Establishing an optimal datacenter selection policy within the cloud environment is paramount to maximize the performance of the cloud services. Service broker policy governs the selection of datacenters for user requests. In our research, we introduce an innovative approach incorporating t...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-11-01
|
| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13677-024-00719-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846164858180993024 |
|---|---|
| author | Shusmoy Chowdhury Ajay Katangur Alaa Sheta |
| author_facet | Shusmoy Chowdhury Ajay Katangur Alaa Sheta |
| author_sort | Shusmoy Chowdhury |
| collection | DOAJ |
| description | Abstract Establishing an optimal datacenter selection policy within the cloud environment is paramount to maximize the performance of the cloud services. Service broker policy governs the selection of datacenters for user requests. In our research, we introduce an innovative approach incorporating the genetic algorithm with service broker policy to assist cloud services in identifying the most suitable datacenters for specific userbases. The effectiveness of our proposed genetic algorithm was rigorously evaluated through experiments conducted on CloudAnalyst platform. The results clearly indicate that our proposed algorithm surpasses existing service broker policies and previous research works done in this field in terms of reducing response time and data processing time. The results analysis validates its efficacy and potential for enhancing cloud service performance and reducing the cost of overall cloud infrastructure. |
| format | Article |
| id | doaj-art-4e68d64d3a0f4c7aa1230a1bef04c5a3 |
| institution | Kabale University |
| issn | 2192-113X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Cloud Computing: Advances, Systems and Applications |
| spelling | doaj-art-4e68d64d3a0f4c7aa1230a1bef04c5a32024-11-17T12:48:54ZengSpringerOpenJournal of Cloud Computing: Advances, Systems and Applications2192-113X2024-11-0113113610.1186/s13677-024-00719-4Optimization of datacenter selection through a genetic algorithm-driven service broker policyShusmoy Chowdhury0Ajay Katangur1Alaa Sheta2Department of Computer Science, Missouri State UniversityDepartment of Computer Science, Missouri State UniversityDepartment of Computer Science, Southern Connecticut State UniversityAbstract Establishing an optimal datacenter selection policy within the cloud environment is paramount to maximize the performance of the cloud services. Service broker policy governs the selection of datacenters for user requests. In our research, we introduce an innovative approach incorporating the genetic algorithm with service broker policy to assist cloud services in identifying the most suitable datacenters for specific userbases. The effectiveness of our proposed genetic algorithm was rigorously evaluated through experiments conducted on CloudAnalyst platform. The results clearly indicate that our proposed algorithm surpasses existing service broker policies and previous research works done in this field in terms of reducing response time and data processing time. The results analysis validates its efficacy and potential for enhancing cloud service performance and reducing the cost of overall cloud infrastructure.https://doi.org/10.1186/s13677-024-00719-4Cloud computingGenetic algorithm service broker policy |
| spellingShingle | Shusmoy Chowdhury Ajay Katangur Alaa Sheta Optimization of datacenter selection through a genetic algorithm-driven service broker policy Journal of Cloud Computing: Advances, Systems and Applications Cloud computing Genetic algorithm service broker policy |
| title | Optimization of datacenter selection through a genetic algorithm-driven service broker policy |
| title_full | Optimization of datacenter selection through a genetic algorithm-driven service broker policy |
| title_fullStr | Optimization of datacenter selection through a genetic algorithm-driven service broker policy |
| title_full_unstemmed | Optimization of datacenter selection through a genetic algorithm-driven service broker policy |
| title_short | Optimization of datacenter selection through a genetic algorithm-driven service broker policy |
| title_sort | optimization of datacenter selection through a genetic algorithm driven service broker policy |
| topic | Cloud computing Genetic algorithm service broker policy |
| url | https://doi.org/10.1186/s13677-024-00719-4 |
| work_keys_str_mv | AT shusmoychowdhury optimizationofdatacenterselectionthroughageneticalgorithmdrivenservicebrokerpolicy AT ajaykatangur optimizationofdatacenterselectionthroughageneticalgorithmdrivenservicebrokerpolicy AT alaasheta optimizationofdatacenterselectionthroughageneticalgorithmdrivenservicebrokerpolicy |