Optimal mobile device selection for mobile cloud service providing
Abstract With the rapid growth of the mobile devices and the emergence of cloud computing, mobile cloud computing has gained widespread interest. In mobile cloud computing, a large-scale collection of mobile devices cooperate with each other to provide a cloud service at the edge. However, the impro...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhou, Ao [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: The journal of supercomputing - Springer US, 1987, 72(2016), 8 vom: 24. März, Seite 3222-3235 |
|---|---|
| Übergeordnetes Werk: |
volume:72 ; year:2016 ; number:8 ; day:24 ; month:03 ; pages:3222-3235 |
| Links: |
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| DOI / URN: |
10.1007/s11227-016-1704-0 |
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OLC2033949974 |
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| 520 | |a Abstract With the rapid growth of the mobile devices and the emergence of cloud computing, mobile cloud computing has gained widespread interest. In mobile cloud computing, a large-scale collection of mobile devices cooperate with each other to provide a cloud service at the edge. However, the improper mobile device selection has a negative effect on the quality of service. Existing methods are difficult to solve the problem, because they do not take the status and the historical characteristics of the mobile devices into consideration. This paper introduces a device status-aware and stability-aware mobile device selection method. Firstly, a model is designed to store the status and the historical characteristics of each mobile device. Secondly, an optimized cloud model is employed to evaluate the stability of each mobile device. Lastly, an optimal mobile device searching algorithm is presented to select the optimal mobile device. We provide an extensive evaluation of our method. The results show that our method can increase the quality of mobile cloud service compared with the traditional method. | ||
| 650 | 4 | |a Mobile device cloud | |
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| 700 | 1 | |a Li, Jinglin |4 aut | |
| 700 | 1 | |a Sun, Qibo |4 aut | |
| 700 | 1 | |a Yang, Fangchun |4 aut | |
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10.1007/s11227-016-1704-0 doi (DE-627)OLC2033949974 (DE-He213)s11227-016-1704-0-p DE-627 ger DE-627 rakwb eng 004 620 VZ Zhou, Ao verfasserin aut Optimal mobile device selection for mobile cloud service providing 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract With the rapid growth of the mobile devices and the emergence of cloud computing, mobile cloud computing has gained widespread interest. In mobile cloud computing, a large-scale collection of mobile devices cooperate with each other to provide a cloud service at the edge. However, the improper mobile device selection has a negative effect on the quality of service. Existing methods are difficult to solve the problem, because they do not take the status and the historical characteristics of the mobile devices into consideration. This paper introduces a device status-aware and stability-aware mobile device selection method. Firstly, a model is designed to store the status and the historical characteristics of each mobile device. Secondly, an optimized cloud model is employed to evaluate the stability of each mobile device. Lastly, an optimal mobile device searching algorithm is presented to select the optimal mobile device. We provide an extensive evaluation of our method. The results show that our method can increase the quality of mobile cloud service compared with the traditional method. Mobile device cloud Mobile cloud computing Mobile cloud service Mobile device selection Cloud model Wang, Shangguang aut Li, Jinglin aut Sun, Qibo aut Yang, Fangchun aut Enthalten in The journal of supercomputing Springer US, 1987 72(2016), 8 vom: 24. März, Seite 3222-3235 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:72 year:2016 number:8 day:24 month:03 pages:3222-3235 https://doi.org/10.1007/s11227-016-1704-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 72 2016 8 24 03 3222-3235 |
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10.1007/s11227-016-1704-0 doi (DE-627)OLC2033949974 (DE-He213)s11227-016-1704-0-p DE-627 ger DE-627 rakwb eng 004 620 VZ Zhou, Ao verfasserin aut Optimal mobile device selection for mobile cloud service providing 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract With the rapid growth of the mobile devices and the emergence of cloud computing, mobile cloud computing has gained widespread interest. In mobile cloud computing, a large-scale collection of mobile devices cooperate with each other to provide a cloud service at the edge. However, the improper mobile device selection has a negative effect on the quality of service. Existing methods are difficult to solve the problem, because they do not take the status and the historical characteristics of the mobile devices into consideration. This paper introduces a device status-aware and stability-aware mobile device selection method. Firstly, a model is designed to store the status and the historical characteristics of each mobile device. Secondly, an optimized cloud model is employed to evaluate the stability of each mobile device. Lastly, an optimal mobile device searching algorithm is presented to select the optimal mobile device. We provide an extensive evaluation of our method. The results show that our method can increase the quality of mobile cloud service compared with the traditional method. Mobile device cloud Mobile cloud computing Mobile cloud service Mobile device selection Cloud model Wang, Shangguang aut Li, Jinglin aut Sun, Qibo aut Yang, Fangchun aut Enthalten in The journal of supercomputing Springer US, 1987 72(2016), 8 vom: 24. März, Seite 3222-3235 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:72 year:2016 number:8 day:24 month:03 pages:3222-3235 https://doi.org/10.1007/s11227-016-1704-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 72 2016 8 24 03 3222-3235 |
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10.1007/s11227-016-1704-0 doi (DE-627)OLC2033949974 (DE-He213)s11227-016-1704-0-p DE-627 ger DE-627 rakwb eng 004 620 VZ Zhou, Ao verfasserin aut Optimal mobile device selection for mobile cloud service providing 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract With the rapid growth of the mobile devices and the emergence of cloud computing, mobile cloud computing has gained widespread interest. In mobile cloud computing, a large-scale collection of mobile devices cooperate with each other to provide a cloud service at the edge. However, the improper mobile device selection has a negative effect on the quality of service. Existing methods are difficult to solve the problem, because they do not take the status and the historical characteristics of the mobile devices into consideration. This paper introduces a device status-aware and stability-aware mobile device selection method. Firstly, a model is designed to store the status and the historical characteristics of each mobile device. Secondly, an optimized cloud model is employed to evaluate the stability of each mobile device. Lastly, an optimal mobile device searching algorithm is presented to select the optimal mobile device. We provide an extensive evaluation of our method. The results show that our method can increase the quality of mobile cloud service compared with the traditional method. Mobile device cloud Mobile cloud computing Mobile cloud service Mobile device selection Cloud model Wang, Shangguang aut Li, Jinglin aut Sun, Qibo aut Yang, Fangchun aut Enthalten in The journal of supercomputing Springer US, 1987 72(2016), 8 vom: 24. März, Seite 3222-3235 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:72 year:2016 number:8 day:24 month:03 pages:3222-3235 https://doi.org/10.1007/s11227-016-1704-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 72 2016 8 24 03 3222-3235 |
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10.1007/s11227-016-1704-0 doi (DE-627)OLC2033949974 (DE-He213)s11227-016-1704-0-p DE-627 ger DE-627 rakwb eng 004 620 VZ Zhou, Ao verfasserin aut Optimal mobile device selection for mobile cloud service providing 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract With the rapid growth of the mobile devices and the emergence of cloud computing, mobile cloud computing has gained widespread interest. In mobile cloud computing, a large-scale collection of mobile devices cooperate with each other to provide a cloud service at the edge. However, the improper mobile device selection has a negative effect on the quality of service. Existing methods are difficult to solve the problem, because they do not take the status and the historical characteristics of the mobile devices into consideration. This paper introduces a device status-aware and stability-aware mobile device selection method. Firstly, a model is designed to store the status and the historical characteristics of each mobile device. Secondly, an optimized cloud model is employed to evaluate the stability of each mobile device. Lastly, an optimal mobile device searching algorithm is presented to select the optimal mobile device. We provide an extensive evaluation of our method. The results show that our method can increase the quality of mobile cloud service compared with the traditional method. Mobile device cloud Mobile cloud computing Mobile cloud service Mobile device selection Cloud model Wang, Shangguang aut Li, Jinglin aut Sun, Qibo aut Yang, Fangchun aut Enthalten in The journal of supercomputing Springer US, 1987 72(2016), 8 vom: 24. März, Seite 3222-3235 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:72 year:2016 number:8 day:24 month:03 pages:3222-3235 https://doi.org/10.1007/s11227-016-1704-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 72 2016 8 24 03 3222-3235 |
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10.1007/s11227-016-1704-0 doi (DE-627)OLC2033949974 (DE-He213)s11227-016-1704-0-p DE-627 ger DE-627 rakwb eng 004 620 VZ Zhou, Ao verfasserin aut Optimal mobile device selection for mobile cloud service providing 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media New York 2016 Abstract With the rapid growth of the mobile devices and the emergence of cloud computing, mobile cloud computing has gained widespread interest. In mobile cloud computing, a large-scale collection of mobile devices cooperate with each other to provide a cloud service at the edge. However, the improper mobile device selection has a negative effect on the quality of service. Existing methods are difficult to solve the problem, because they do not take the status and the historical characteristics of the mobile devices into consideration. This paper introduces a device status-aware and stability-aware mobile device selection method. Firstly, a model is designed to store the status and the historical characteristics of each mobile device. Secondly, an optimized cloud model is employed to evaluate the stability of each mobile device. Lastly, an optimal mobile device searching algorithm is presented to select the optimal mobile device. We provide an extensive evaluation of our method. The results show that our method can increase the quality of mobile cloud service compared with the traditional method. Mobile device cloud Mobile cloud computing Mobile cloud service Mobile device selection Cloud model Wang, Shangguang aut Li, Jinglin aut Sun, Qibo aut Yang, Fangchun aut Enthalten in The journal of supercomputing Springer US, 1987 72(2016), 8 vom: 24. März, Seite 3222-3235 (DE-627)13046466X (DE-600)740510-8 (DE-576)018667775 0920-8542 nnns volume:72 year:2016 number:8 day:24 month:03 pages:3222-3235 https://doi.org/10.1007/s11227-016-1704-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 AR 72 2016 8 24 03 3222-3235 |
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Abstract With the rapid growth of the mobile devices and the emergence of cloud computing, mobile cloud computing has gained widespread interest. In mobile cloud computing, a large-scale collection of mobile devices cooperate with each other to provide a cloud service at the edge. However, the improper mobile device selection has a negative effect on the quality of service. Existing methods are difficult to solve the problem, because they do not take the status and the historical characteristics of the mobile devices into consideration. This paper introduces a device status-aware and stability-aware mobile device selection method. Firstly, a model is designed to store the status and the historical characteristics of each mobile device. Secondly, an optimized cloud model is employed to evaluate the stability of each mobile device. Lastly, an optimal mobile device searching algorithm is presented to select the optimal mobile device. We provide an extensive evaluation of our method. The results show that our method can increase the quality of mobile cloud service compared with the traditional method. © Springer Science+Business Media New York 2016 |
| abstractGer |
Abstract With the rapid growth of the mobile devices and the emergence of cloud computing, mobile cloud computing has gained widespread interest. In mobile cloud computing, a large-scale collection of mobile devices cooperate with each other to provide a cloud service at the edge. However, the improper mobile device selection has a negative effect on the quality of service. Existing methods are difficult to solve the problem, because they do not take the status and the historical characteristics of the mobile devices into consideration. This paper introduces a device status-aware and stability-aware mobile device selection method. Firstly, a model is designed to store the status and the historical characteristics of each mobile device. Secondly, an optimized cloud model is employed to evaluate the stability of each mobile device. Lastly, an optimal mobile device searching algorithm is presented to select the optimal mobile device. We provide an extensive evaluation of our method. The results show that our method can increase the quality of mobile cloud service compared with the traditional method. © Springer Science+Business Media New York 2016 |
| abstract_unstemmed |
Abstract With the rapid growth of the mobile devices and the emergence of cloud computing, mobile cloud computing has gained widespread interest. In mobile cloud computing, a large-scale collection of mobile devices cooperate with each other to provide a cloud service at the edge. However, the improper mobile device selection has a negative effect on the quality of service. Existing methods are difficult to solve the problem, because they do not take the status and the historical characteristics of the mobile devices into consideration. This paper introduces a device status-aware and stability-aware mobile device selection method. Firstly, a model is designed to store the status and the historical characteristics of each mobile device. Secondly, an optimized cloud model is employed to evaluate the stability of each mobile device. Lastly, an optimal mobile device searching algorithm is presented to select the optimal mobile device. We provide an extensive evaluation of our method. The results show that our method can increase the quality of mobile cloud service compared with the traditional method. © Springer Science+Business Media New York 2016 |
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Optimal mobile device selection for mobile cloud service providing |
| url |
https://doi.org/10.1007/s11227-016-1704-0 |
| remote_bool |
false |
| author2 |
Wang, Shangguang Li, Jinglin Sun, Qibo Yang, Fangchun |
| author2Str |
Wang, Shangguang Li, Jinglin Sun, Qibo Yang, Fangchun |
| ppnlink |
13046466X |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.1007/s11227-016-1704-0 |
| up_date |
2024-07-03T19:02:20.581Z |
| _version_ |
1803585680135159808 |
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In mobile cloud computing, a large-scale collection of mobile devices cooperate with each other to provide a cloud service at the edge. However, the improper mobile device selection has a negative effect on the quality of service. Existing methods are difficult to solve the problem, because they do not take the status and the historical characteristics of the mobile devices into consideration. This paper introduces a device status-aware and stability-aware mobile device selection method. Firstly, a model is designed to store the status and the historical characteristics of each mobile device. Secondly, an optimized cloud model is employed to evaluate the stability of each mobile device. Lastly, an optimal mobile device searching algorithm is presented to select the optimal mobile device. We provide an extensive evaluation of our method. 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7.399004 |