Cloud Computing and Mobile Networks Convergence

Thoroughly covers the integration of cloud computing to existing mobile networks As mobile internet becomes more important, new business models such as Machine to Machine (M2M) gain focus and users make more intensive usage of the network, the pressures on telecoms networks are increasing. To manage these challenges, it has been proposed that some network elements be run in the cloud or in a cloud-like computing environment. This approach makes use of the IT industry's knowledge of data management though cloud computing. Uniquely examining how cloud technologies are implemented into existing and future GSM entities, this book addresses the evolution of the Home Location Register (HLR) and which data management technologies can help and influence the HLR in its evolution. It focuses on the possible convergence between the evolution of technologies developed by cloud technology providers and the cost-effective management of user data in Telecom networks. The architectural changes and paradigm shift expected in these databases, when moving infrastructure to cloud based environments, are thoroughly covered.
Furthermore, the author takes a concrete look at the current HLR and HLS databases from up-to-date infrastructures and maps this functionality in more IT-oriented cloud technologies. Includes formulas, real-world examples of cases where the technology has been successfully implemented, prototypes and results of research studies Covers an innovative technology which will have increased importance as data traffic grows Presents the state of the art from both research and business perspectives Addresses concerns of availability, data lock-in and privacy and the necessary evolution of a cost-effective management of user data Until now there have been few documented real-world experiences of moving the whole subscriber database to this type of noSQL database. Hands-on information about the challenges encountered and the way to solve them is invaluable for teams considering this migration.
Telecommunications network architects, Researchers, Decision makers in telecommunications industry, Core Networks Architects, Data management specialists The approach taken is also very beneficial for Graduate students on telecommunications courses, Telco networks administrators, Databases architects, Telecommunication engineering and computer science teachers.