Whether for a CIO, VP of business operations, solution architect or director of development, day-to-day activities have probably taken on a greater sense of urgency with encroaching competition from not only other telecommunication companies, but also emerging wireless, cable and over-the-top (OTT) players.
Over the last decade, the Telecommunications Industry has laid the foundation for many of the innovative technologies in use today, for example network APIs (Application Program Interfaces), application stores, and video communications. Only a few years ago, communications service provider (CSP) application stores were responsible for $71B of content sales (ringtones, wallpapers, movies, and games), a figure that dwarfs the $2B2 sales figure achieved in 2010 through the handset stores.
As mobile networks are evolving to support new wireless technologies such as LTE and LTE-Advanced, as well as the associated higher data consumption bandwidth requirements of mobile devices and users, the existing mobile access network is struggling to keep up. As a consequence, there are three primary technologies that need to evolve. First, are the base stations and their radio technology. Second, is the ability to deliver dramatically more bandwidth at lower cost per bit to these new base stations. Finally, is distribution of the timing to the base stations that is so fundamental to the operation of the radios. This paper will discuss the former two at a high level in the next few paragraphs before focusing on network timing in more detail.
Based on current market drivers, telecommunication services are expected to shift from a model characterized by long service durations with standard quality levels and prices to a new model featuring short service durations and variable prices that require real-time service management. In the newer model, the price of a service will be determined through a dynamic combination of duration, lead time, and service content or type, where external identifiers will play a greater role in the authentication and management of service behaviors. If the market trends continue as forecasted, all internal systems including OSS and BSS will need to be aligned to the new model, to accommodate an end-to-end perspective and to support greater data sharing beyond the boundaries of existing systems.
Data center power and cooling infrastructure worldwide wastes more than 60,000,000 megawatt-hours per year of electricity that does no useful work powering IT equipment. This represents an enormous financial burden on industry, and is a significant public policy environmental issue. This paper describes the principles of a new, commercially available data center architecture that can be implemented today to dramatically improve the electrical efficiency of data centers.
A framework for benchmarking a future data center’s operational performance is essential for effective planning and decision making. Currently available criticality or tier methods do not provide defensible specifications for validating data center performance. An appropriate specification for data center criticality should provide unambiguous defensible language for the design and installation of a data center. This paper analyzes and compares existing tier methods, describes how to choose a criticality level, and proposes a defensible data center criticality specification. Maintaining a data center’s criticality is also discussed.
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