Abstract
Mobile cloud computing is emerging as a powerful platform for running demanding applications migrated from mobile devices to a remote cloud. For some real-time or urgent deadline-constrained applications, the migration process generates intolerable transmission latency. Cloudlets co-located with Access Points (APs) are considered as an efficient way to reduce such transmission latency. However, it is still a challenge to manage the cloudlets that have been deployed for fixed context-aware applications to achieve cost savings. In view of this challenge, a cloud service enhanced method supporting context-aware applications is proposed in this paper. Specifically, a cloudlet management principle is designed to provide a reference for cloudlet status judgment. Then a relevant cloud service enhanced method is proposed to decide which active cloudlets should be shut down. Finally, the experimental and analytical results demonstrate the validity of our proposed method.
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Acknowledgement
This research is partially supported by the National Science Foundation of China under Grant No. 61672276, No. 61702277, the Key Research and Development Project of Jiangsu Province under Grant No. BE2015154 and BE2016120, and the Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, Z., Cai, Q., Wang, S., Xu, X., Dou, W., Yu, S. (2018). A Cloud Service Enhanced Method Supporting Context-Aware Applications. In: Hu, J., Khalil, I., Tari, Z., Wen, S. (eds) Mobile Networks and Management. MONAMI 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 235. Springer, Cham. https://doi.org/10.1007/978-3-319-90775-8_22
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DOI: https://doi.org/10.1007/978-3-319-90775-8_22
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