Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds
Abstract The emergence of cloud computing has made it become an attractive solution for large-scale data processing and storage applications. Cloud infrastructures provide users a remote access to powerful computing capacity, large storage space and high network bandwidth to deploy various applicati...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zeng, Zeng [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media New York 2016 |
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| Übergeordnetes Werk: |
Enthalten in: Cluster computing - Springer US, 1998, 19(2016), 2 vom: 23. Feb., Seite 601-614 |
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| Übergeordnetes Werk: |
volume:19 ; year:2016 ; number:2 ; day:23 ; month:02 ; pages:601-614 |
| Links: |
|---|
| DOI / URN: |
10.1007/s10586-016-0543-3 |
|---|
| Katalog-ID: |
OLC2066385700 |
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| 520 | |a Abstract The emergence of cloud computing has made it become an attractive solution for large-scale data processing and storage applications. Cloud infrastructures provide users a remote access to powerful computing capacity, large storage space and high network bandwidth to deploy various applications. With the support of cloud computing, many large-scale applications have been migrated to cloud infrastructures instead of running on in-house local servers. Among these applications, continuous write applications (CWAs) such as online surveillance systems, can significantly benefit due to the flexibility and advantages of cloud computing. However, with specific characteristics such as continuous data writing and processing, and high level demand of data availability, cloud service providers prefer to use sophisticated models for provisioning resources to meet CWAs’ demands while minimizing the operational cost of the infrastructure. In this paper, we present a novel architecture of multiple cloud service providers (CSPs) or commonly referred to as Cloud-of-Clouds. Based on this architecture, we propose two operational cost-aware algorithms for provisioning cloud resources for CWAs, namely neighboring optimal resource provisioning algorithm and global optimal resource provisioning algorithm, in order to minimize the operational cost and thereby maximizing the revenue of CSPs. We validate the proposed algorithms through comprehensive simulations. The two proposed algorithms are compared against each other to assess their effectiveness, and with a commonly used and practically viable round-robin approach. The results demonstrate that NORPA and GORPA outperform the conventional round-robin algorithm by reducing the operational cost by up to 28 and 57 %, respectively. The low complexity of the proposed cost-aware algorithms allows us to apply it to a realistic Cloud-of-Clouds environment in industry as well as academia. | ||
| 650 | 4 | |a Cloud computing | |
| 650 | 4 | |a Continuous write applications | |
| 650 | 4 | |a Resource provisioning | |
| 650 | 4 | |a Cloud-of-clouds environment | |
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| 700 | 1 | |a Veeravalli, Bharadwaj |4 aut | |
| 700 | 1 | |a Tham, Chen-Khong |4 aut | |
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10.1007/s10586-016-0543-3 doi (DE-627)OLC2066385700 (DE-He213)s10586-016-0543-3-p DE-627 ger DE-627 rakwb eng 004 VZ 54.50$jProgrammierung: Allgemeines bkl 54.32$jRechnerkommunikation bkl 54.25$jParallele Datenverarbeitung bkl Zeng, Zeng verfasserin aut Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract The emergence of cloud computing has made it become an attractive solution for large-scale data processing and storage applications. Cloud infrastructures provide users a remote access to powerful computing capacity, large storage space and high network bandwidth to deploy various applications. With the support of cloud computing, many large-scale applications have been migrated to cloud infrastructures instead of running on in-house local servers. Among these applications, continuous write applications (CWAs) such as online surveillance systems, can significantly benefit due to the flexibility and advantages of cloud computing. However, with specific characteristics such as continuous data writing and processing, and high level demand of data availability, cloud service providers prefer to use sophisticated models for provisioning resources to meet CWAs’ demands while minimizing the operational cost of the infrastructure. In this paper, we present a novel architecture of multiple cloud service providers (CSPs) or commonly referred to as Cloud-of-Clouds. Based on this architecture, we propose two operational cost-aware algorithms for provisioning cloud resources for CWAs, namely neighboring optimal resource provisioning algorithm and global optimal resource provisioning algorithm, in order to minimize the operational cost and thereby maximizing the revenue of CSPs. We validate the proposed algorithms through comprehensive simulations. The two proposed algorithms are compared against each other to assess their effectiveness, and with a commonly used and practically viable round-robin approach. The results demonstrate that NORPA and GORPA outperform the conventional round-robin algorithm by reducing the operational cost by up to 28 and 57 %, respectively. The low complexity of the proposed cost-aware algorithms allows us to apply it to a realistic Cloud-of-Clouds environment in industry as well as academia. Cloud computing Continuous write applications Resource provisioning Cloud-of-clouds environment Truong-Huu, Tram aut Veeravalli, Bharadwaj aut Tham, Chen-Khong aut Enthalten in Cluster computing Springer US, 1998 19(2016), 2 vom: 23. Feb., Seite 601-614 (DE-627)265187907 (DE-600)1465290-0 (DE-576)9265187905 1386-7857 nnns volume:19 year:2016 number:2 day:23 month:02 pages:601-614 https://doi.org/10.1007/s10586-016-0543-3 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 19 2016 2 23 02 601-614 |
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10.1007/s10586-016-0543-3 doi (DE-627)OLC2066385700 (DE-He213)s10586-016-0543-3-p DE-627 ger DE-627 rakwb eng 004 VZ 54.50$jProgrammierung: Allgemeines bkl 54.32$jRechnerkommunikation bkl 54.25$jParallele Datenverarbeitung bkl Zeng, Zeng verfasserin aut Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract The emergence of cloud computing has made it become an attractive solution for large-scale data processing and storage applications. Cloud infrastructures provide users a remote access to powerful computing capacity, large storage space and high network bandwidth to deploy various applications. With the support of cloud computing, many large-scale applications have been migrated to cloud infrastructures instead of running on in-house local servers. Among these applications, continuous write applications (CWAs) such as online surveillance systems, can significantly benefit due to the flexibility and advantages of cloud computing. However, with specific characteristics such as continuous data writing and processing, and high level demand of data availability, cloud service providers prefer to use sophisticated models for provisioning resources to meet CWAs’ demands while minimizing the operational cost of the infrastructure. In this paper, we present a novel architecture of multiple cloud service providers (CSPs) or commonly referred to as Cloud-of-Clouds. Based on this architecture, we propose two operational cost-aware algorithms for provisioning cloud resources for CWAs, namely neighboring optimal resource provisioning algorithm and global optimal resource provisioning algorithm, in order to minimize the operational cost and thereby maximizing the revenue of CSPs. We validate the proposed algorithms through comprehensive simulations. The two proposed algorithms are compared against each other to assess their effectiveness, and with a commonly used and practically viable round-robin approach. The results demonstrate that NORPA and GORPA outperform the conventional round-robin algorithm by reducing the operational cost by up to 28 and 57 %, respectively. The low complexity of the proposed cost-aware algorithms allows us to apply it to a realistic Cloud-of-Clouds environment in industry as well as academia. Cloud computing Continuous write applications Resource provisioning Cloud-of-clouds environment Truong-Huu, Tram aut Veeravalli, Bharadwaj aut Tham, Chen-Khong aut Enthalten in Cluster computing Springer US, 1998 19(2016), 2 vom: 23. Feb., Seite 601-614 (DE-627)265187907 (DE-600)1465290-0 (DE-576)9265187905 1386-7857 nnns volume:19 year:2016 number:2 day:23 month:02 pages:601-614 https://doi.org/10.1007/s10586-016-0543-3 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 19 2016 2 23 02 601-614 |
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10.1007/s10586-016-0543-3 doi (DE-627)OLC2066385700 (DE-He213)s10586-016-0543-3-p DE-627 ger DE-627 rakwb eng 004 VZ 54.50$jProgrammierung: Allgemeines bkl 54.32$jRechnerkommunikation bkl 54.25$jParallele Datenverarbeitung bkl Zeng, Zeng verfasserin aut Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract The emergence of cloud computing has made it become an attractive solution for large-scale data processing and storage applications. Cloud infrastructures provide users a remote access to powerful computing capacity, large storage space and high network bandwidth to deploy various applications. With the support of cloud computing, many large-scale applications have been migrated to cloud infrastructures instead of running on in-house local servers. Among these applications, continuous write applications (CWAs) such as online surveillance systems, can significantly benefit due to the flexibility and advantages of cloud computing. However, with specific characteristics such as continuous data writing and processing, and high level demand of data availability, cloud service providers prefer to use sophisticated models for provisioning resources to meet CWAs’ demands while minimizing the operational cost of the infrastructure. In this paper, we present a novel architecture of multiple cloud service providers (CSPs) or commonly referred to as Cloud-of-Clouds. Based on this architecture, we propose two operational cost-aware algorithms for provisioning cloud resources for CWAs, namely neighboring optimal resource provisioning algorithm and global optimal resource provisioning algorithm, in order to minimize the operational cost and thereby maximizing the revenue of CSPs. We validate the proposed algorithms through comprehensive simulations. The two proposed algorithms are compared against each other to assess their effectiveness, and with a commonly used and practically viable round-robin approach. The results demonstrate that NORPA and GORPA outperform the conventional round-robin algorithm by reducing the operational cost by up to 28 and 57 %, respectively. The low complexity of the proposed cost-aware algorithms allows us to apply it to a realistic Cloud-of-Clouds environment in industry as well as academia. Cloud computing Continuous write applications Resource provisioning Cloud-of-clouds environment Truong-Huu, Tram aut Veeravalli, Bharadwaj aut Tham, Chen-Khong aut Enthalten in Cluster computing Springer US, 1998 19(2016), 2 vom: 23. Feb., Seite 601-614 (DE-627)265187907 (DE-600)1465290-0 (DE-576)9265187905 1386-7857 nnns volume:19 year:2016 number:2 day:23 month:02 pages:601-614 https://doi.org/10.1007/s10586-016-0543-3 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 19 2016 2 23 02 601-614 |
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10.1007/s10586-016-0543-3 doi (DE-627)OLC2066385700 (DE-He213)s10586-016-0543-3-p DE-627 ger DE-627 rakwb eng 004 VZ 54.50$jProgrammierung: Allgemeines bkl 54.32$jRechnerkommunikation bkl 54.25$jParallele Datenverarbeitung bkl Zeng, Zeng verfasserin aut Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract The emergence of cloud computing has made it become an attractive solution for large-scale data processing and storage applications. Cloud infrastructures provide users a remote access to powerful computing capacity, large storage space and high network bandwidth to deploy various applications. With the support of cloud computing, many large-scale applications have been migrated to cloud infrastructures instead of running on in-house local servers. Among these applications, continuous write applications (CWAs) such as online surveillance systems, can significantly benefit due to the flexibility and advantages of cloud computing. However, with specific characteristics such as continuous data writing and processing, and high level demand of data availability, cloud service providers prefer to use sophisticated models for provisioning resources to meet CWAs’ demands while minimizing the operational cost of the infrastructure. In this paper, we present a novel architecture of multiple cloud service providers (CSPs) or commonly referred to as Cloud-of-Clouds. Based on this architecture, we propose two operational cost-aware algorithms for provisioning cloud resources for CWAs, namely neighboring optimal resource provisioning algorithm and global optimal resource provisioning algorithm, in order to minimize the operational cost and thereby maximizing the revenue of CSPs. We validate the proposed algorithms through comprehensive simulations. The two proposed algorithms are compared against each other to assess their effectiveness, and with a commonly used and practically viable round-robin approach. The results demonstrate that NORPA and GORPA outperform the conventional round-robin algorithm by reducing the operational cost by up to 28 and 57 %, respectively. The low complexity of the proposed cost-aware algorithms allows us to apply it to a realistic Cloud-of-Clouds environment in industry as well as academia. Cloud computing Continuous write applications Resource provisioning Cloud-of-clouds environment Truong-Huu, Tram aut Veeravalli, Bharadwaj aut Tham, Chen-Khong aut Enthalten in Cluster computing Springer US, 1998 19(2016), 2 vom: 23. Feb., Seite 601-614 (DE-627)265187907 (DE-600)1465290-0 (DE-576)9265187905 1386-7857 nnns volume:19 year:2016 number:2 day:23 month:02 pages:601-614 https://doi.org/10.1007/s10586-016-0543-3 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 19 2016 2 23 02 601-614 |
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10.1007/s10586-016-0543-3 doi (DE-627)OLC2066385700 (DE-He213)s10586-016-0543-3-p DE-627 ger DE-627 rakwb eng 004 VZ 54.50$jProgrammierung: Allgemeines bkl 54.32$jRechnerkommunikation bkl 54.25$jParallele Datenverarbeitung bkl Zeng, Zeng verfasserin aut Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract The emergence of cloud computing has made it become an attractive solution for large-scale data processing and storage applications. Cloud infrastructures provide users a remote access to powerful computing capacity, large storage space and high network bandwidth to deploy various applications. With the support of cloud computing, many large-scale applications have been migrated to cloud infrastructures instead of running on in-house local servers. Among these applications, continuous write applications (CWAs) such as online surveillance systems, can significantly benefit due to the flexibility and advantages of cloud computing. However, with specific characteristics such as continuous data writing and processing, and high level demand of data availability, cloud service providers prefer to use sophisticated models for provisioning resources to meet CWAs’ demands while minimizing the operational cost of the infrastructure. In this paper, we present a novel architecture of multiple cloud service providers (CSPs) or commonly referred to as Cloud-of-Clouds. Based on this architecture, we propose two operational cost-aware algorithms for provisioning cloud resources for CWAs, namely neighboring optimal resource provisioning algorithm and global optimal resource provisioning algorithm, in order to minimize the operational cost and thereby maximizing the revenue of CSPs. We validate the proposed algorithms through comprehensive simulations. The two proposed algorithms are compared against each other to assess their effectiveness, and with a commonly used and practically viable round-robin approach. The results demonstrate that NORPA and GORPA outperform the conventional round-robin algorithm by reducing the operational cost by up to 28 and 57 %, respectively. The low complexity of the proposed cost-aware algorithms allows us to apply it to a realistic Cloud-of-Clouds environment in industry as well as academia. Cloud computing Continuous write applications Resource provisioning Cloud-of-clouds environment Truong-Huu, Tram aut Veeravalli, Bharadwaj aut Tham, Chen-Khong aut Enthalten in Cluster computing Springer US, 1998 19(2016), 2 vom: 23. Feb., Seite 601-614 (DE-627)265187907 (DE-600)1465290-0 (DE-576)9265187905 1386-7857 nnns volume:19 year:2016 number:2 day:23 month:02 pages:601-614 https://doi.org/10.1007/s10586-016-0543-3 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 19 2016 2 23 02 601-614 |
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operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds |
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Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds |
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Abstract The emergence of cloud computing has made it become an attractive solution for large-scale data processing and storage applications. Cloud infrastructures provide users a remote access to powerful computing capacity, large storage space and high network bandwidth to deploy various applications. With the support of cloud computing, many large-scale applications have been migrated to cloud infrastructures instead of running on in-house local servers. Among these applications, continuous write applications (CWAs) such as online surveillance systems, can significantly benefit due to the flexibility and advantages of cloud computing. However, with specific characteristics such as continuous data writing and processing, and high level demand of data availability, cloud service providers prefer to use sophisticated models for provisioning resources to meet CWAs’ demands while minimizing the operational cost of the infrastructure. In this paper, we present a novel architecture of multiple cloud service providers (CSPs) or commonly referred to as Cloud-of-Clouds. Based on this architecture, we propose two operational cost-aware algorithms for provisioning cloud resources for CWAs, namely neighboring optimal resource provisioning algorithm and global optimal resource provisioning algorithm, in order to minimize the operational cost and thereby maximizing the revenue of CSPs. We validate the proposed algorithms through comprehensive simulations. The two proposed algorithms are compared against each other to assess their effectiveness, and with a commonly used and practically viable round-robin approach. The results demonstrate that NORPA and GORPA outperform the conventional round-robin algorithm by reducing the operational cost by up to 28 and 57 %, respectively. The low complexity of the proposed cost-aware algorithms allows us to apply it to a realistic Cloud-of-Clouds environment in industry as well as academia. © Springer Science+Business Media New York 2016 |
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Abstract The emergence of cloud computing has made it become an attractive solution for large-scale data processing and storage applications. Cloud infrastructures provide users a remote access to powerful computing capacity, large storage space and high network bandwidth to deploy various applications. With the support of cloud computing, many large-scale applications have been migrated to cloud infrastructures instead of running on in-house local servers. Among these applications, continuous write applications (CWAs) such as online surveillance systems, can significantly benefit due to the flexibility and advantages of cloud computing. However, with specific characteristics such as continuous data writing and processing, and high level demand of data availability, cloud service providers prefer to use sophisticated models for provisioning resources to meet CWAs’ demands while minimizing the operational cost of the infrastructure. In this paper, we present a novel architecture of multiple cloud service providers (CSPs) or commonly referred to as Cloud-of-Clouds. Based on this architecture, we propose two operational cost-aware algorithms for provisioning cloud resources for CWAs, namely neighboring optimal resource provisioning algorithm and global optimal resource provisioning algorithm, in order to minimize the operational cost and thereby maximizing the revenue of CSPs. We validate the proposed algorithms through comprehensive simulations. The two proposed algorithms are compared against each other to assess their effectiveness, and with a commonly used and practically viable round-robin approach. The results demonstrate that NORPA and GORPA outperform the conventional round-robin algorithm by reducing the operational cost by up to 28 and 57 %, respectively. The low complexity of the proposed cost-aware algorithms allows us to apply it to a realistic Cloud-of-Clouds environment in industry as well as academia. © Springer Science+Business Media New York 2016 |
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Abstract The emergence of cloud computing has made it become an attractive solution for large-scale data processing and storage applications. Cloud infrastructures provide users a remote access to powerful computing capacity, large storage space and high network bandwidth to deploy various applications. With the support of cloud computing, many large-scale applications have been migrated to cloud infrastructures instead of running on in-house local servers. Among these applications, continuous write applications (CWAs) such as online surveillance systems, can significantly benefit due to the flexibility and advantages of cloud computing. However, with specific characteristics such as continuous data writing and processing, and high level demand of data availability, cloud service providers prefer to use sophisticated models for provisioning resources to meet CWAs’ demands while minimizing the operational cost of the infrastructure. In this paper, we present a novel architecture of multiple cloud service providers (CSPs) or commonly referred to as Cloud-of-Clouds. Based on this architecture, we propose two operational cost-aware algorithms for provisioning cloud resources for CWAs, namely neighboring optimal resource provisioning algorithm and global optimal resource provisioning algorithm, in order to minimize the operational cost and thereby maximizing the revenue of CSPs. We validate the proposed algorithms through comprehensive simulations. The two proposed algorithms are compared against each other to assess their effectiveness, and with a commonly used and practically viable round-robin approach. The results demonstrate that NORPA and GORPA outperform the conventional round-robin algorithm by reducing the operational cost by up to 28 and 57 %, respectively. The low complexity of the proposed cost-aware algorithms allows us to apply it to a realistic Cloud-of-Clouds environment in industry as well as academia. © Springer Science+Business Media New York 2016 |
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