Elastic resource provisioning in hybrid mobile cloud for computationally intensive mobile applications
Abstract The paper addresses the integration of hybrid cloud with mobile applications. The challenge about hybrid mobile cloud resource provisioning is the trade-offs between energy consumption, performance provided to users and how resources, such as processing power and network, are being utilized...
Ausführliche Beschreibung
Autor*in: |
Chunlin, Li [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 New York 2017 |
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Übergeordnetes Werk: |
Enthalten in: The journal of supercomputing - Springer US, 1987, 73(2017), 9 vom: 04. Feb., Seite 3683-3714 |
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Übergeordnetes Werk: |
volume:73 ; year:2017 ; number:9 ; day:04 ; month:02 ; pages:3683-3714 |
Links: |
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DOI / URN: |
10.1007/s11227-017-1965-2 |
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Katalog-ID: |
OLC2033952924 |
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10.1007/s11227-017-1965-2 doi (DE-627)OLC2033952924 (DE-He213)s11227-017-1965-2-p DE-627 ger DE-627 rakwb eng 004 620 VZ Chunlin, Li verfasserin aut Elastic resource provisioning in hybrid mobile cloud for computationally intensive mobile applications 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract The paper addresses the integration of hybrid cloud with mobile applications. The challenge about hybrid mobile cloud resource provisioning is the trade-offs between energy consumption, performance provided to users and how resources, such as processing power and network, are being utilized. The proposed elastic hybrid mobile cloud resource provisioning model is jointly optimized to improve mobile user experience within the constraints of available resources and user QoS requirement. The paper presents the system utility of hybrid cloud system involving local cloud and public cloud infrastructure. From the perspectives of both mobile applications and cloud providers, the proposed system utility is optimized to improve the performance of mobile applications and the utilization of cloud resources. The proposed elastic hybrid mobile cloud resource provisioning algorithm includes two sub-algorithms. To evaluate and validate performance of the proposed algorithm, a series of experiments are conducted. The comparison results and analyses are discussed. The experimental results show the improvement to previous works. Resource provisioning Hybrid cloud Mobile cloud Min, Zhou aut Youlong, Luo aut Enthalten in The journal of supercomputing Springer US, 1987 73(2017), 9 vom: 04. Feb., Seite 3683-3714 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:73 year:2017 number:9 day:04 month:02 pages:3683-3714 https://doi.org/10.1007/s11227-017-1965-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 73 2017 9 04 02 3683-3714 |
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10.1007/s11227-017-1965-2 doi (DE-627)OLC2033952924 (DE-He213)s11227-017-1965-2-p DE-627 ger DE-627 rakwb eng 004 620 VZ Chunlin, Li verfasserin aut Elastic resource provisioning in hybrid mobile cloud for computationally intensive mobile applications 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract The paper addresses the integration of hybrid cloud with mobile applications. The challenge about hybrid mobile cloud resource provisioning is the trade-offs between energy consumption, performance provided to users and how resources, such as processing power and network, are being utilized. The proposed elastic hybrid mobile cloud resource provisioning model is jointly optimized to improve mobile user experience within the constraints of available resources and user QoS requirement. The paper presents the system utility of hybrid cloud system involving local cloud and public cloud infrastructure. From the perspectives of both mobile applications and cloud providers, the proposed system utility is optimized to improve the performance of mobile applications and the utilization of cloud resources. The proposed elastic hybrid mobile cloud resource provisioning algorithm includes two sub-algorithms. To evaluate and validate performance of the proposed algorithm, a series of experiments are conducted. The comparison results and analyses are discussed. The experimental results show the improvement to previous works. Resource provisioning Hybrid cloud Mobile cloud Min, Zhou aut Youlong, Luo aut Enthalten in The journal of supercomputing Springer US, 1987 73(2017), 9 vom: 04. Feb., Seite 3683-3714 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:73 year:2017 number:9 day:04 month:02 pages:3683-3714 https://doi.org/10.1007/s11227-017-1965-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 73 2017 9 04 02 3683-3714 |
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10.1007/s11227-017-1965-2 doi (DE-627)OLC2033952924 (DE-He213)s11227-017-1965-2-p DE-627 ger DE-627 rakwb eng 004 620 VZ Chunlin, Li verfasserin aut Elastic resource provisioning in hybrid mobile cloud for computationally intensive mobile applications 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract The paper addresses the integration of hybrid cloud with mobile applications. The challenge about hybrid mobile cloud resource provisioning is the trade-offs between energy consumption, performance provided to users and how resources, such as processing power and network, are being utilized. The proposed elastic hybrid mobile cloud resource provisioning model is jointly optimized to improve mobile user experience within the constraints of available resources and user QoS requirement. The paper presents the system utility of hybrid cloud system involving local cloud and public cloud infrastructure. From the perspectives of both mobile applications and cloud providers, the proposed system utility is optimized to improve the performance of mobile applications and the utilization of cloud resources. The proposed elastic hybrid mobile cloud resource provisioning algorithm includes two sub-algorithms. To evaluate and validate performance of the proposed algorithm, a series of experiments are conducted. The comparison results and analyses are discussed. The experimental results show the improvement to previous works. Resource provisioning Hybrid cloud Mobile cloud Min, Zhou aut Youlong, Luo aut Enthalten in The journal of supercomputing Springer US, 1987 73(2017), 9 vom: 04. Feb., Seite 3683-3714 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:73 year:2017 number:9 day:04 month:02 pages:3683-3714 https://doi.org/10.1007/s11227-017-1965-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 73 2017 9 04 02 3683-3714 |
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10.1007/s11227-017-1965-2 doi (DE-627)OLC2033952924 (DE-He213)s11227-017-1965-2-p DE-627 ger DE-627 rakwb eng 004 620 VZ Chunlin, Li verfasserin aut Elastic resource provisioning in hybrid mobile cloud for computationally intensive mobile applications 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract The paper addresses the integration of hybrid cloud with mobile applications. The challenge about hybrid mobile cloud resource provisioning is the trade-offs between energy consumption, performance provided to users and how resources, such as processing power and network, are being utilized. The proposed elastic hybrid mobile cloud resource provisioning model is jointly optimized to improve mobile user experience within the constraints of available resources and user QoS requirement. The paper presents the system utility of hybrid cloud system involving local cloud and public cloud infrastructure. From the perspectives of both mobile applications and cloud providers, the proposed system utility is optimized to improve the performance of mobile applications and the utilization of cloud resources. The proposed elastic hybrid mobile cloud resource provisioning algorithm includes two sub-algorithms. To evaluate and validate performance of the proposed algorithm, a series of experiments are conducted. The comparison results and analyses are discussed. The experimental results show the improvement to previous works. Resource provisioning Hybrid cloud Mobile cloud Min, Zhou aut Youlong, Luo aut Enthalten in The journal of supercomputing Springer US, 1987 73(2017), 9 vom: 04. Feb., Seite 3683-3714 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:73 year:2017 number:9 day:04 month:02 pages:3683-3714 https://doi.org/10.1007/s11227-017-1965-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 73 2017 9 04 02 3683-3714 |
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10.1007/s11227-017-1965-2 doi (DE-627)OLC2033952924 (DE-He213)s11227-017-1965-2-p DE-627 ger DE-627 rakwb eng 004 620 VZ Chunlin, Li verfasserin aut Elastic resource provisioning in hybrid mobile cloud for computationally intensive mobile applications 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2017 Abstract The paper addresses the integration of hybrid cloud with mobile applications. The challenge about hybrid mobile cloud resource provisioning is the trade-offs between energy consumption, performance provided to users and how resources, such as processing power and network, are being utilized. The proposed elastic hybrid mobile cloud resource provisioning model is jointly optimized to improve mobile user experience within the constraints of available resources and user QoS requirement. The paper presents the system utility of hybrid cloud system involving local cloud and public cloud infrastructure. From the perspectives of both mobile applications and cloud providers, the proposed system utility is optimized to improve the performance of mobile applications and the utilization of cloud resources. The proposed elastic hybrid mobile cloud resource provisioning algorithm includes two sub-algorithms. To evaluate and validate performance of the proposed algorithm, a series of experiments are conducted. The comparison results and analyses are discussed. The experimental results show the improvement to previous works. Resource provisioning Hybrid cloud Mobile cloud Min, Zhou aut Youlong, Luo aut Enthalten in The journal of supercomputing Springer US, 1987 73(2017), 9 vom: 04. Feb., Seite 3683-3714 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:73 year:2017 number:9 day:04 month:02 pages:3683-3714 https://doi.org/10.1007/s11227-017-1965-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 73 2017 9 04 02 3683-3714 |
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Abstract The paper addresses the integration of hybrid cloud with mobile applications. The challenge about hybrid mobile cloud resource provisioning is the trade-offs between energy consumption, performance provided to users and how resources, such as processing power and network, are being utilized. The proposed elastic hybrid mobile cloud resource provisioning model is jointly optimized to improve mobile user experience within the constraints of available resources and user QoS requirement. The paper presents the system utility of hybrid cloud system involving local cloud and public cloud infrastructure. From the perspectives of both mobile applications and cloud providers, the proposed system utility is optimized to improve the performance of mobile applications and the utilization of cloud resources. The proposed elastic hybrid mobile cloud resource provisioning algorithm includes two sub-algorithms. To evaluate and validate performance of the proposed algorithm, a series of experiments are conducted. The comparison results and analyses are discussed. The experimental results show the improvement to previous works. © Springer Science+Business Media New York 2017 |
abstractGer |
Abstract The paper addresses the integration of hybrid cloud with mobile applications. The challenge about hybrid mobile cloud resource provisioning is the trade-offs between energy consumption, performance provided to users and how resources, such as processing power and network, are being utilized. The proposed elastic hybrid mobile cloud resource provisioning model is jointly optimized to improve mobile user experience within the constraints of available resources and user QoS requirement. The paper presents the system utility of hybrid cloud system involving local cloud and public cloud infrastructure. From the perspectives of both mobile applications and cloud providers, the proposed system utility is optimized to improve the performance of mobile applications and the utilization of cloud resources. The proposed elastic hybrid mobile cloud resource provisioning algorithm includes two sub-algorithms. To evaluate and validate performance of the proposed algorithm, a series of experiments are conducted. The comparison results and analyses are discussed. The experimental results show the improvement to previous works. © Springer Science+Business Media New York 2017 |
abstract_unstemmed |
Abstract The paper addresses the integration of hybrid cloud with mobile applications. The challenge about hybrid mobile cloud resource provisioning is the trade-offs between energy consumption, performance provided to users and how resources, such as processing power and network, are being utilized. The proposed elastic hybrid mobile cloud resource provisioning model is jointly optimized to improve mobile user experience within the constraints of available resources and user QoS requirement. The paper presents the system utility of hybrid cloud system involving local cloud and public cloud infrastructure. From the perspectives of both mobile applications and cloud providers, the proposed system utility is optimized to improve the performance of mobile applications and the utilization of cloud resources. The proposed elastic hybrid mobile cloud resource provisioning algorithm includes two sub-algorithms. To evaluate and validate performance of the proposed algorithm, a series of experiments are conducted. The comparison results and analyses are discussed. The experimental results show the improvement to previous works. © Springer Science+Business Media New York 2017 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2033952924</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230504053950.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200819s2017 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11227-017-1965-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2033952924</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11227-017-1965-2-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="a">620</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chunlin, Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Elastic resource provisioning in hybrid mobile cloud for computationally intensive mobile applications</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2017</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media New York 2017</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The paper addresses the integration of hybrid cloud with mobile applications. The challenge about hybrid mobile cloud resource provisioning is the trade-offs between energy consumption, performance provided to users and how resources, such as processing power and network, are being utilized. The proposed elastic hybrid mobile cloud resource provisioning model is jointly optimized to improve mobile user experience within the constraints of available resources and user QoS requirement. The paper presents the system utility of hybrid cloud system involving local cloud and public cloud infrastructure. From the perspectives of both mobile applications and cloud providers, the proposed system utility is optimized to improve the performance of mobile applications and the utilization of cloud resources. The proposed elastic hybrid mobile cloud resource provisioning algorithm includes two sub-algorithms. To evaluate and validate performance of the proposed algorithm, a series of experiments are conducted. The comparison results and analyses are discussed. 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