Abstract
The utilization of social parameters, such as the centrality principle, is vital to be considered, in order to optimally exploit the behaviour of Mobile Cloud devices. This work elaborates on the design and exploitation of social and device-centric parameters, as a typical prediction-based method in Mobile Cloud Systems with delay constraints. Based on this consideration, this work introduces a Content-oriented Social Offloading (CSO) scheme. The proposed CSO scheme is based on utilizing the complex characteristics of social communities, in order to optimally choose the mobile node for applying the offloading process, resulting in minimized energy consumption for each mobile device. The proposed scheme aims at saving resources on the user's device, thus minimizing energy consumption and prolonging the device's lifetime. A thorough assessment has been performed, in order to evaluate the performance of the proposed scheme, while delay-sensitive 'critical-process executions' are taking place. Furthermore, we carry out a comparison against other similar schemes under the same conditions, in order to validate the efficiency of the proposed framework, with respect to the energy conservation of the mobile nodes.
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Communications, ICC 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781467389990 |
DOIs | |
Publication status | Published - 28 Jul 2017 |
Event | 2017 IEEE International Conference on Communications, ICC 2017 - Paris, France Duration: 21 May 2017 → 25 May 2017 |
Other
Other | 2017 IEEE International Conference on Communications, ICC 2017 |
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Country/Territory | France |
City | Paris |
Period | 21/05/17 → 25/05/17 |
Keywords
- Energy Conservation Scheme
- Mobile Cloud Offload Processing
- Social Metrics
- Social-oriented Mobile Cloud