Toward carrier cloud: Potential, challenges, and solutions

Mobile operators are in need of means to cope with the ever increasing mobile data traffic, introducing minimal additional capital expenditures on existing infrastructures, principally due to the modest average revenue per user. Network virtualization and cloud computing techniques, along with the principles of the latter in terms of service elasticity, on-demand, and payper-use, could be important enablers for various mobile network enhancements and cost reduction. This article discusses the recent trends the mobile telecommunications market is experiencing, showcasing some of the emerging consumer products and services that are facilitating such trends. The article also discusses the challenges these trends present to mobile network operators. It also demonstrates the possibility of extending cloud computing beyond data centers toward the mobile end user, providing end-to-end mobile connectivity as a cloud service. The article introduces a set of technologies and methods for on-demand provision of a decentralized and elastic mobile network as a cloud service over a distributed network of cloud computing data centers. The concept of Follow-Me-Cloud, whereby not only data but also mobile services intelligently follow their respective users, is also introduced. The novel business opportunities behind the envisioned carrier cloud architecture and service are also discussed, considering various multi-stakeholder scenarios.

[1]  A. A. Samjani General Packet Radio Service [GPRS] , 2002 .

[2]  Tarik Taleb,et al.  An analytical model for Follow Me Cloud , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[3]  Tarik Taleb,et al.  Follow-Me Cloud: An OpenFlow-Based Implementation , 2013, 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing.

[4]  Tarik Taleb,et al.  QoS/QoE predictions-based admission control for femto communications , 2012, 2012 IEEE International Conference on Communications (ICC).

[5]  James Kempf,et al.  Moving the mobile Evolved Packet Core to the cloud , 2012, 2012 IEEE 8th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[6]  Jordi Ferrer Riera,et al.  On the Implementation of NFV over an OpenFlow Infrastructure: Routing Function Virtualization , 2013, 2013 IEEE SDN for Future Networks and Services (SDN4FNS).

[7]  Tarik Taleb,et al.  Follow me cloud: interworking federated clouds and distributed mobile networks , 2013, IEEE Network.

[8]  Tarik Taleb,et al.  Geographical Location and Load Based Gateway Selection for Optimal Traffic Offload in Mobile Networks , 2011, Networking.

[9]  Tarik Taleb,et al.  Towards supporting highly mobile nodes in decentralized mobile operator networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[10]  Tarik Taleb,et al.  Impact of emerging social media applications on mobile networks , 2013, 2013 IEEE International Conference on Communications (ICC).

[11]  Yan Wang,et al.  Mobileflow: Toward software-defined mobile networks , 2013, IEEE Communications Magazine.

[12]  T. Taleb,et al.  Traffic Offload Enhancements for eUTRAN , 2012, IEEE Communications Surveys & Tutorials.

[13]  Tarik Taleb,et al.  Machine type communications in 3GPP networks: potential, challenges, and solutions , 2012, IEEE Communications Magazine.

[14]  Tarik Taleb,et al.  On efficient data anchor point selection in distributed mobile networks , 2013, 2013 IEEE International Conference on Communications (ICC).

[15]  Fabrizio Granelli,et al.  EmPOWER: A Testbed for Network Function Virtualization Research and Experimentation , 2013, 2013 IEEE SDN for Future Networks and Services (SDN4FNS).

[16]  Tarik Taleb,et al.  Gateway relocation avoidance-aware network function placement in carrier cloud , 2013, MSWiM.