Leveraging User Mobility and Mobile App Services Behavior for Optimal Edge Resource Utilization
Author:
Affiliation:
1. National Technical University of Athens, Zografou, Greece
2. Harokopio University of Athens, Tavros, Greece
Funder
European Unions Horizon 2020 research and innovation programme under grant agreement no. 723131 and from ICT R&D program of Korean Ministry of Science, ICT and Future Planning
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3312614.3312620
Reference15 articles.
1. Effectively utilizing elastic resources in networked control systems
2. Enzo Busseti Ian Osband and Scott Wong. 2012. Deep learning for time series modeling. Technical report Stanford University (2012). Enzo Busseti Ian Osband and Scott Wong. 2012. Deep learning for time series modeling. Technical report Stanford University (2012).
3. Federica Cena Silvia Likavec and Amon Rapp. 2018. Real World User Model: Evolution of User Modeling Triggered by Advances in Wearable and Ubiquitous Computing: State of the Art and Future Directions. Information Systems Frontiers (01 2018). Federica Cena Silvia Likavec and Amon Rapp. 2018. Real World User Model: Evolution of User Modeling Triggered by Advances in Wearable and Ubiquitous Computing: State of the Art and Future Directions. Information Systems Frontiers (01 2018).
4. LIBSVM
5. Lynn E Eberly. 2007. Multiple linear regression. Topics in Biostatistics (2007) 165--187. Lynn E Eberly. 2007. Multiple linear regression. Topics in Biostatistics (2007) 165--187.
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