Saturday, March 1, 2008
Access Bandwidth: Size Doesn't Matter As Much As You Think
AT&T has been doing some testing recently. It bought cable modem service and then tested peak throughput and average throughput.
As you might have guessed, there's a huge difference. But the point is not to show that Digital Subscriber Line access is any better. It is to emphasize the point that access is only part of what determines end user quality of experience.
Every element of the delivery chain has to be optimized or quality of experience will be bounded by the weakest link. In fact, the tests suggest that real-world performance is precisely what users encounter.
Peak advertised speeds are possible at 3 a.m. During the evening hours, when home usage peaks, average throughput routinely drops as low as 300 to 400 kbps.
And that's just the difference between peak and average bandwidth. IP-delivered communications and entertainment also is subject to degradation because of latency and jitter, port contention and any number of other issues. In fact, port contention might in some ways be a bigger problem for mobile providers than raw bandwidth.
Gary Kim has been a digital infra analyst and journalist for more than 30 years, covering the business impact of technology, pre- and post-internet. He sees a similar evolution coming with AI. General-purpose technologies do not come along very often, but when they do, they change life, economies and industries.
Subscribe to:
Post Comments (Atom)
Will AI Actually Boost Productivity and Consumer Demand? Maybe Not
A recent report by PwC suggests artificial intelligence will generate $15.7 trillion in economic impact to 2030. Most of us, reading, seein...
-
We have all repeatedly seen comparisons of equity value of hyperscale app providers compared to the value of connectivity providers, which s...
-
It really is surprising how often a Pareto distribution--the “80/20 rule--appears in business life, or in life, generally. Basically, the...
-
One recurring issue with forecasts of multi-access edge computing is that it is easier to make predictions about cost than revenue and infra...
No comments:
Post a Comment