Green data centers for cloud-assisted mobile ad hoc networks in 5G

Cloud-assisted mobile ad-hoc networks are expected to be so popular in future fifth generation (5G) mobile network because the significantly faster performance of 5G communications enables clouds to provide realistic services. On the other hand, the energy consumption problem will become serious due to the highly increased cloud computing speed. Mobile communication link loss occurs when a mobile device leaves the network. Link loss can cause serious energy consumption when the lost link is directly connected to a cloud data server, which is required to do excessive searching and link routing transactions. None of the existing normal methods have solved the problem. We show how this problem can be solved using our proposed mechanism. The experimental results demonstrate that our proposed mechanism saves nine times more energy than normal methods.

[1]  Erol Gelenbe,et al.  Energy-Efficient Cloud Computing , 2010, Comput. J..

[2]  Lazaros Gkatzikis,et al.  Migrate or not? exploiting dynamic task migration in mobile cloud computing systems , 2013, IEEE Wireless Communications.

[3]  Eng Keong Lua,et al.  P2p Networking And Applications , 2009 .

[4]  Mohsen Guizani,et al.  Exploring blind online scheduling for mobile cloud multimedia services , 2013, IEEE Wireless Communications.

[5]  Mahesh Balakrishnan,et al.  The Cloud is the Router: Enabling Bandwidth-Efficient and Privacy-Aware Mobile Applications with Contrail , 2010 .

[6]  Daniel Camps-Mur,et al.  Device-to-device communications with Wi-Fi Direct: overview and experimentation , 2013, IEEE Wireless Communications.

[7]  Yonggang Wen,et al.  Lightweight packet scheduling algorithms for content uploading from mobile devices to media cloud , 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).

[8]  Bo Li,et al.  Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications , 2013, IEEE Wireless Communications.

[9]  Ravi Mathey,et al.  Content Sharing over Smartphone-Based Delay-Tolerant Networks , 2014 .

[10]  Robert W. Heath,et al.  Five disruptive technology directions for 5G , 2013, IEEE Communications Magazine.

[11]  Victor C. M. Leung,et al.  Enabling technologies for future data center networking: a primer , 2013, IEEE Network.

[12]  Xiaofei Wang,et al.  Cloud-assisted adaptive video streaming and social-aware video prefetching for mobile users , 2013, IEEE Wireless Communications.

[13]  Hojung Cha,et al.  Content Sharing over Smartphone-Based Delay-Tolerant Networks , 2013, IEEE Transactions on Mobile Computing.

[14]  Artur Arsenio,et al.  A Survey on Energy Efficiency for the Future Internet , 2013 .

[15]  Haohong Wang,et al.  Toward Blind Scheduling in Mobile Media Cloud: Fairness, Simplicity, and Asymptotic Optimality , 2013, IEEE Transactions on Multimedia.

[16]  Yen-Wen Lin,et al.  Cloud-assisted gateway discovery for vehicular ad hoc networks , 2011, The 5th International Conference on New Trends in Information Science and Service Science.