A hybrid ABC-SA based optimized scheduling and resource allocation for cloud environment
Abstract Cloud computing is one of the rapidly growing environment in recent days where it interconnects the entire world in human’s day to day life activities. Resource allocation, scheduling and load balancing are the three important things which improve the quality of service in cloud computing....
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Muthulakshmi, B. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media, LLC 2017 |
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| Übergeordnetes Werk: |
Enthalten in: Cluster computing - Springer US, 1998, 22(2017), Suppl 5 vom: 19. Sept., Seite 10769-10777 |
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| Übergeordnetes Werk: |
volume:22 ; year:2017 ; number:Suppl 5 ; day:19 ; month:09 ; pages:10769-10777 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10586-017-1174-z |
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| Katalog-ID: |
OLC2066394351 |
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| 520 | |a Abstract Cloud computing is one of the rapidly growing environment in recent days where it interconnects the entire world in human’s day to day life activities. Resource allocation, scheduling and load balancing are the three important things which improve the quality of service in cloud computing. To do this and choose an optimum resource, optimum schedule and through this balancing the load can be obtained using ABC-SA method. The main contribution of this paper is to implement a hybrid optimization algorithm by integrating the functionality of simulated annealing (SA) into artificial bee colony (ABC) algorithm to do the efficient scheduling according to the task size, priority of the request and closest distance between client nodes to a server in the cloud environment. This ABC-SA based optimized scheduling approach has the capability of improving the efficiency in terms of searching optimum resource time where the dynamic and random searching behavior is obtained from SA. ABC-SA is implemented and experimented in the CloudSim tool and the results are verified. The performance of the proposed approach is evaluated by comparing the results with the existing system results. | ||
| 650 | 4 | |a Cloud computing | |
| 650 | 4 | |a Scheduling | |
| 650 | 4 | |a Load balancing | |
| 650 | 4 | |a Virtualization | |
| 650 | 4 | |a Client–server communication | |
| 700 | 1 | |a Somasundaram, K. |4 aut | |
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10.1007/s10586-017-1174-z doi (DE-627)OLC2066394351 (DE-He213)s10586-017-1174-z-p DE-627 ger DE-627 rakwb eng 004 VZ 54.50$jProgrammierung: Allgemeines bkl 54.32$jRechnerkommunikation bkl 54.25$jParallele Datenverarbeitung bkl Muthulakshmi, B. verfasserin (orcid)0000-0002-5287-790X aut A hybrid ABC-SA based optimized scheduling and resource allocation for cloud environment 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2017 Abstract Cloud computing is one of the rapidly growing environment in recent days where it interconnects the entire world in human’s day to day life activities. Resource allocation, scheduling and load balancing are the three important things which improve the quality of service in cloud computing. To do this and choose an optimum resource, optimum schedule and through this balancing the load can be obtained using ABC-SA method. The main contribution of this paper is to implement a hybrid optimization algorithm by integrating the functionality of simulated annealing (SA) into artificial bee colony (ABC) algorithm to do the efficient scheduling according to the task size, priority of the request and closest distance between client nodes to a server in the cloud environment. This ABC-SA based optimized scheduling approach has the capability of improving the efficiency in terms of searching optimum resource time where the dynamic and random searching behavior is obtained from SA. ABC-SA is implemented and experimented in the CloudSim tool and the results are verified. The performance of the proposed approach is evaluated by comparing the results with the existing system results. Cloud computing Scheduling Load balancing Virtualization Client–server communication Somasundaram, K. aut Enthalten in Cluster computing Springer US, 1998 22(2017), Suppl 5 vom: 19. Sept., Seite 10769-10777 (DE-627)265187907 (DE-600)1465290-0 (DE-576)9265187905 1386-7857 nnns volume:22 year:2017 number:Suppl 5 day:19 month:09 pages:10769-10777 https://doi.org/10.1007/s10586-017-1174-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 54.32$jRechnerkommunikation VZ 10640623X (DE-625)10640623X 54.25$jParallele Datenverarbeitung VZ 181569892 (DE-625)181569892 AR 22 2017 Suppl 5 19 09 10769-10777 |
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10.1007/s10586-017-1174-z doi (DE-627)OLC2066394351 (DE-He213)s10586-017-1174-z-p DE-627 ger DE-627 rakwb eng 004 VZ 54.50$jProgrammierung: Allgemeines bkl 54.32$jRechnerkommunikation bkl 54.25$jParallele Datenverarbeitung bkl Muthulakshmi, B. verfasserin (orcid)0000-0002-5287-790X aut A hybrid ABC-SA based optimized scheduling and resource allocation for cloud environment 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2017 Abstract Cloud computing is one of the rapidly growing environment in recent days where it interconnects the entire world in human’s day to day life activities. Resource allocation, scheduling and load balancing are the three important things which improve the quality of service in cloud computing. To do this and choose an optimum resource, optimum schedule and through this balancing the load can be obtained using ABC-SA method. The main contribution of this paper is to implement a hybrid optimization algorithm by integrating the functionality of simulated annealing (SA) into artificial bee colony (ABC) algorithm to do the efficient scheduling according to the task size, priority of the request and closest distance between client nodes to a server in the cloud environment. This ABC-SA based optimized scheduling approach has the capability of improving the efficiency in terms of searching optimum resource time where the dynamic and random searching behavior is obtained from SA. ABC-SA is implemented and experimented in the CloudSim tool and the results are verified. The performance of the proposed approach is evaluated by comparing the results with the existing system results. Cloud computing Scheduling Load balancing Virtualization Client–server communication Somasundaram, K. aut Enthalten in Cluster computing Springer US, 1998 22(2017), Suppl 5 vom: 19. Sept., Seite 10769-10777 (DE-627)265187907 (DE-600)1465290-0 (DE-576)9265187905 1386-7857 nnns volume:22 year:2017 number:Suppl 5 day:19 month:09 pages:10769-10777 https://doi.org/10.1007/s10586-017-1174-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 54.32$jRechnerkommunikation VZ 10640623X (DE-625)10640623X 54.25$jParallele Datenverarbeitung VZ 181569892 (DE-625)181569892 AR 22 2017 Suppl 5 19 09 10769-10777 |
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10.1007/s10586-017-1174-z doi (DE-627)OLC2066394351 (DE-He213)s10586-017-1174-z-p DE-627 ger DE-627 rakwb eng 004 VZ 54.50$jProgrammierung: Allgemeines bkl 54.32$jRechnerkommunikation bkl 54.25$jParallele Datenverarbeitung bkl Muthulakshmi, B. verfasserin (orcid)0000-0002-5287-790X aut A hybrid ABC-SA based optimized scheduling and resource allocation for cloud environment 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2017 Abstract Cloud computing is one of the rapidly growing environment in recent days where it interconnects the entire world in human’s day to day life activities. Resource allocation, scheduling and load balancing are the three important things which improve the quality of service in cloud computing. To do this and choose an optimum resource, optimum schedule and through this balancing the load can be obtained using ABC-SA method. The main contribution of this paper is to implement a hybrid optimization algorithm by integrating the functionality of simulated annealing (SA) into artificial bee colony (ABC) algorithm to do the efficient scheduling according to the task size, priority of the request and closest distance between client nodes to a server in the cloud environment. This ABC-SA based optimized scheduling approach has the capability of improving the efficiency in terms of searching optimum resource time where the dynamic and random searching behavior is obtained from SA. ABC-SA is implemented and experimented in the CloudSim tool and the results are verified. The performance of the proposed approach is evaluated by comparing the results with the existing system results. Cloud computing Scheduling Load balancing Virtualization Client–server communication Somasundaram, K. aut Enthalten in Cluster computing Springer US, 1998 22(2017), Suppl 5 vom: 19. Sept., Seite 10769-10777 (DE-627)265187907 (DE-600)1465290-0 (DE-576)9265187905 1386-7857 nnns volume:22 year:2017 number:Suppl 5 day:19 month:09 pages:10769-10777 https://doi.org/10.1007/s10586-017-1174-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 54.32$jRechnerkommunikation VZ 10640623X (DE-625)10640623X 54.25$jParallele Datenverarbeitung VZ 181569892 (DE-625)181569892 AR 22 2017 Suppl 5 19 09 10769-10777 |
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10.1007/s10586-017-1174-z doi (DE-627)OLC2066394351 (DE-He213)s10586-017-1174-z-p DE-627 ger DE-627 rakwb eng 004 VZ 54.50$jProgrammierung: Allgemeines bkl 54.32$jRechnerkommunikation bkl 54.25$jParallele Datenverarbeitung bkl Muthulakshmi, B. verfasserin (orcid)0000-0002-5287-790X aut A hybrid ABC-SA based optimized scheduling and resource allocation for cloud environment 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media, LLC 2017 Abstract Cloud computing is one of the rapidly growing environment in recent days where it interconnects the entire world in human’s day to day life activities. Resource allocation, scheduling and load balancing are the three important things which improve the quality of service in cloud computing. To do this and choose an optimum resource, optimum schedule and through this balancing the load can be obtained using ABC-SA method. The main contribution of this paper is to implement a hybrid optimization algorithm by integrating the functionality of simulated annealing (SA) into artificial bee colony (ABC) algorithm to do the efficient scheduling according to the task size, priority of the request and closest distance between client nodes to a server in the cloud environment. This ABC-SA based optimized scheduling approach has the capability of improving the efficiency in terms of searching optimum resource time where the dynamic and random searching behavior is obtained from SA. ABC-SA is implemented and experimented in the CloudSim tool and the results are verified. The performance of the proposed approach is evaluated by comparing the results with the existing system results. Cloud computing Scheduling Load balancing Virtualization Client–server communication Somasundaram, K. aut Enthalten in Cluster computing Springer US, 1998 22(2017), Suppl 5 vom: 19. Sept., Seite 10769-10777 (DE-627)265187907 (DE-600)1465290-0 (DE-576)9265187905 1386-7857 nnns volume:22 year:2017 number:Suppl 5 day:19 month:09 pages:10769-10777 https://doi.org/10.1007/s10586-017-1174-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 54.50$jProgrammierung: Allgemeines VZ 181569876 (DE-625)181569876 54.32$jRechnerkommunikation VZ 10640623X (DE-625)10640623X 54.25$jParallele Datenverarbeitung VZ 181569892 (DE-625)181569892 AR 22 2017 Suppl 5 19 09 10769-10777 |
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A hybrid ABC-SA based optimized scheduling and resource allocation for cloud environment |
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Muthulakshmi, B. |
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a hybrid abc-sa based optimized scheduling and resource allocation for cloud environment |
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A hybrid ABC-SA based optimized scheduling and resource allocation for cloud environment |
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Abstract Cloud computing is one of the rapidly growing environment in recent days where it interconnects the entire world in human’s day to day life activities. Resource allocation, scheduling and load balancing are the three important things which improve the quality of service in cloud computing. To do this and choose an optimum resource, optimum schedule and through this balancing the load can be obtained using ABC-SA method. The main contribution of this paper is to implement a hybrid optimization algorithm by integrating the functionality of simulated annealing (SA) into artificial bee colony (ABC) algorithm to do the efficient scheduling according to the task size, priority of the request and closest distance between client nodes to a server in the cloud environment. This ABC-SA based optimized scheduling approach has the capability of improving the efficiency in terms of searching optimum resource time where the dynamic and random searching behavior is obtained from SA. ABC-SA is implemented and experimented in the CloudSim tool and the results are verified. The performance of the proposed approach is evaluated by comparing the results with the existing system results. © Springer Science+Business Media, LLC 2017 |
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Abstract Cloud computing is one of the rapidly growing environment in recent days where it interconnects the entire world in human’s day to day life activities. Resource allocation, scheduling and load balancing are the three important things which improve the quality of service in cloud computing. To do this and choose an optimum resource, optimum schedule and through this balancing the load can be obtained using ABC-SA method. The main contribution of this paper is to implement a hybrid optimization algorithm by integrating the functionality of simulated annealing (SA) into artificial bee colony (ABC) algorithm to do the efficient scheduling according to the task size, priority of the request and closest distance between client nodes to a server in the cloud environment. This ABC-SA based optimized scheduling approach has the capability of improving the efficiency in terms of searching optimum resource time where the dynamic and random searching behavior is obtained from SA. ABC-SA is implemented and experimented in the CloudSim tool and the results are verified. The performance of the proposed approach is evaluated by comparing the results with the existing system results. © Springer Science+Business Media, LLC 2017 |
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Abstract Cloud computing is one of the rapidly growing environment in recent days where it interconnects the entire world in human’s day to day life activities. Resource allocation, scheduling and load balancing are the three important things which improve the quality of service in cloud computing. To do this and choose an optimum resource, optimum schedule and through this balancing the load can be obtained using ABC-SA method. The main contribution of this paper is to implement a hybrid optimization algorithm by integrating the functionality of simulated annealing (SA) into artificial bee colony (ABC) algorithm to do the efficient scheduling according to the task size, priority of the request and closest distance between client nodes to a server in the cloud environment. This ABC-SA based optimized scheduling approach has the capability of improving the efficiency in terms of searching optimum resource time where the dynamic and random searching behavior is obtained from SA. ABC-SA is implemented and experimented in the CloudSim tool and the results are verified. The performance of the proposed approach is evaluated by comparing the results with the existing system results. © Springer Science+Business Media, LLC 2017 |
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