Towards Maximum Resource Utilization and Optimal Task Execution for Gaming IoT Workflow in Mobile Cloud

[1]  Nasser Yazdani,et al.  A QoS-aware task allocation model for mobile cloud computing , 2016, 2016 Second International Conference on Web Research (ICWR).

[2]  Antonio Pescapè,et al.  On the Integration of Cloud Computing and Internet of Things , 2014, 2014 International Conference on Future Internet of Things and Cloud.

[3]  Stephen S. Yau,et al.  Intelligent Planning for Developing Mobile IoT Applications Using Cloud Systems , 2014, 2014 IEEE International Conference on Mobile Services.

[4]  Paramvir Bahl,et al.  The Case for VM-Based Cloudlets in Mobile Computing , 2009, IEEE Pervasive Computing.

[5]  Li Zhao,et al.  A Cloud-Based Car Parking Middleware for IoT-Based Smart Cities: Design and Implementation , 2014, Sensors.

[6]  Chonho Lee,et al.  A survey of mobile cloud computing: architecture, applications, and approaches , 2013, Wirel. Commun. Mob. Comput..

[7]  Min Chen,et al.  Energy Optimization With Dynamic Task Scheduling Mobile Cloud Computing , 2017, IEEE Systems Journal.

[8]  Tao Li,et al.  A Framework for Partitioning and Execution of Data Stream Applications in Mobile Cloud Computing , 2012, 2012 IEEE Fifth International Conference on Cloud Computing.

[9]  Sungwook Kim,et al.  Nested game-based computation offloading scheme for Mobile Cloud IoT systems , 2015, EURASIP Journal on Wireless Communications and Networking.

[10]  Qinru Qiu,et al.  A game theoretic resource allocation for overall energy minimization in mobile cloud computing system , 2012, ISLPED '12.