Mobile Cloud Computing in Healthcare Using Dynamic Cloudlets for Energy-Aware Consumption
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arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2019
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| _version_ | 1866916381116596224 |
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| author | Muniswamaiah, Manoj Tappert, Charles |
| author_facet | Muniswamaiah, Manoj Tappert, Charles |
| contents | Mobile cloud computing (MCC) has increasingly been adopted in healthcare industry by healthcare professionals (HCPs) which has resulted in the growth of medical software applications for these platforms. There are different applications which help HCPs with many important tasks. Mobile cloud computing has helped HCPs in better decision making and improved patient care. MCC enables users to acquire the benefit of cloud computing services to meet the healthcare demands. However, the restrictions posed by network bandwidth and mobile device capacity has brought challenges with respect to energy consumption and latency delays. In this paper we propose dynamic energy consumption mobile cloud computing model (DEMCCM) which addresses the energy consumption issue by healthcare mobile devices using dynamic cloudlets. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1908_11501 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | Mobile Cloud Computing in Healthcare Using Dynamic Cloudlets for Energy-Aware Consumption Muniswamaiah, Manoj Tappert, Charles Distributed, Parallel, and Cluster Computing Mobile cloud computing (MCC) has increasingly been adopted in healthcare industry by healthcare professionals (HCPs) which has resulted in the growth of medical software applications for these platforms. There are different applications which help HCPs with many important tasks. Mobile cloud computing has helped HCPs in better decision making and improved patient care. MCC enables users to acquire the benefit of cloud computing services to meet the healthcare demands. However, the restrictions posed by network bandwidth and mobile device capacity has brought challenges with respect to energy consumption and latency delays. In this paper we propose dynamic energy consumption mobile cloud computing model (DEMCCM) which addresses the energy consumption issue by healthcare mobile devices using dynamic cloudlets. |
| title | Mobile Cloud Computing in Healthcare Using Dynamic Cloudlets for Energy-Aware Consumption |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/1908.11501 |