Today, Google took the veil off its long rumor mobile network service.
- PilotHouse Vendor Rating
- Contact Center and Customer Engagement
- Cloud and Data Center
- Cost Models and Total Cost of Ownership
- Enterprise Trusted Advisor
- IT Innovation, Transformation, and Enterprise Technology
- Mobile and Network Services
- Security, Risk Management, and Compliance Research Initiatives
- Unified Communications and Collaboration
Cost savings may not occur with cloud UC, but there are other hidden benefits, research shows.
Originally reported in the Indian Pres
May 01, 2009
In 2007, Nemertes Research conducted the first-ever study to independently model Internet and IP infrastructure (which we call "capacity") and current and projected traffic (which we call "demand") with the goal of evaluating how each changes over time. In that study, we concluded that if current trends were to continue, demand would outstrip capacity before 2012. Specifically, access bandwidth limitations will throttle back innovation, as users become increasingly frustrated with their ability to run sophisticated applications over primitive access infrastructure. This year, we revisit our original study, update the data and our model, and extend the study to look beyond physical bandwidth issues to assess the impact of potential logical constraints. Our conclusion? The situation is worse than originally thought!
Nov 17, 2008
Nov 20, 2007
The Internet Singularity, Delayed: Why Limits in Internet Capacity Will Stifle Innovation on the Web
Nov 19, 2007
In this research study, Nemertes performed an independent in-depth analysis of Internet and IP infrastructure (which we call capacity) and current and projected traffic (which we call demand) with the goal of understanding how each has changed over time, and determining if there will ever be a point at which demand exceeds capacity. To assess infrastructure capacity, we reviewed details of carrier expenditures and vendor revenues, and compared these against market research studies. To compute demand, we took a unique approach: Instead of modeling user behavior based on measuring the application portfolios that users had currently deployed, and projecting deployment of those applications in future, we looked directly at how user consumption of available bandwidth has changed over time.