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Showing posts sorted by date for query ITU. Sort by relevance Show all posts

Saturday, July 6, 2024

Do Home Broadband Speed Rankings Really Matter Much?

Ookla’s May 2024 report on mobile and home broadband shows Singapore and Hong Kong leading the list of countries with the fastest speeds, which is not surprising at all. 


You might not have expected Chile to rank third, the UAE and Iceland in spots four and five. The United States ranks sixth, which is sort of an anomaly. Over the past half century or so, it would not have been uncommon for U.S. metrics to rank anywhere from 12th to 20th on measures of tele-density or internet access bandwidth. 


We might reasonably ask how much importance such speed rankings actually mean. One might argue the rankings generally suggest that small city-states and small countries can produce good broadband infrastructure faster and better than any large country, simply because the physical facilities are smaller in coverage area, with higher density. And network size and population density directly affect the cost of such facilities. 


Hong Kong, Singapore and other such areas will always be able to create high-performance access infrastructure faster than any continent-sized country with low population density. 


Nor, looking only at city-states and small countries, might we see clear correlations between growth and home broadband speeds. Singapore and UAE might be strong performers in that regard. But other small countries might not show the same strong correlations. It might be the case that only rarely, if ever, are home broadband and economic growth rates uncorrelated. 


But the correlations are not consistent. So it is worth speculating about how important such rankings actually are, when it comes to applying the tools and wringing business or economic value out of them. 


To be sure, lots of studies suggest there is a correlation between economic growth (gross domestic product) and home broadband availability and speed, with perhaps greater correlations related to availability than speed. 


Study

Year

Key Findings

Ericsson, Arthur D. Little, and Chalmers University of Technology

2011

Doubling broadband speeds can add 0.3% to GDP growth

World Bank

2009

10% increase in broadband penetration associated with 1.38% increase in GDP growth for developing countries

OECD

2011

Positive but diminishing returns from increased broadband speeds on economic growth

ITU (International Telecommunication Union)

2012

Broadband has a statistically significant impact on GDP growth, but effect varies by region and level of development

Rohman and Bohlin

2012

Doubling broadband speed contributes 0.3% GDP growth in OECD countries


But it might also be worth noting that there are similar correlations between gross domestic product gains and educational attainment; rule of law; capital investment; income and wealth; or infrastructure density and availability. 


And correlation is not causation. 


In fact, “causality” might even be the reverse of what we might think. 


Keep in mind that economists generally economists might generally agree there is a  “causal” relationship between growth and:

  • Capital accumulation (both physical and human)  

  • Innovation and technological progress (research and development; creation of new ideas)

  • Macroeconomic stability helps (Low and stable inflation; sound fiscal policies)

  • Openness to trade

  • Quality Institutions (rule of law and low levels of corruption)

  • Financial markets well developed


So we might consider education an input to future capital; innovation or technology development. We might consider home broadband another form of capital. 


But it's often unclear whether some factors said to cause growth are themselves caused by growth. Does financial development, trade openness and political stability cause growth, or does growth cause financial development, trade and political stability? We cannot really say. 


Consider “good schools,” quality home broadband, medical care or other supposed platforms aiding growth. 


It might plausibly be the case that demand for good schools and fast internet access, for example. Are the product of demand from citizens who already have the resources to pay for such quality broadband, as well as the use cases. 


Likewise, if local schools are funded by property taxes, then “good schools” might be “caused” by affluent citizens who can afford expensive housing, which comes with high property values, leading to high tax revenues to fund schools. 


In fact, one might well argue that often, the prevalence of quality home broadband, transportation infrastructure or any number of other supposed producers of economic growth might instead be a result of pre-existing strong economic growth. 


Rather than robust economic growth being “created” by quality broadband; educational attainment and other drivers, it is equally plausible that pre-existing high growth creates wealth and resources that in turn lead to the other outcomes. 


You might suspect educational attainment, for example, is correlated with stronger economic growth, and studies support that notion. But a flywheel might be at work, where pre-existing high attainment leads to more attainment; high growth reinforcing more high growth. 


Study/Source

Correlation/Finding

Georgia Tech study 

0.75 correlation between years of education and GDP per capita. 1 year increase in education associated with 34.4% increase in GDP per capita.

Hanushek & Peterson analysis 

Raising US student test scores to Canadian levels estimated to add $77 trillion to US economy over 80 years.

International comparison 

Countries with top test scores (e.g. Singapore, Hong Kong) had ~2% higher annual GDP growth compared to average.

OECD countries analysis 

Positive correlation between education expenditure at all levels and GDP, stronger over 5-10 year periods.

Developing countries analysis 

Positive correlation between primary education spending and GDP growth. Negative correlation for secondary/higher education.

General finding 

Education is "intrinsically linked to economic growth", influencing both personal salaries and national GDP.


Likewise, studies of transportation infrastructure also tend to be correlated with gross domestic product, but sometimes only moderately. 


Transportation Mode/Metric

Correlation with GDP

Time Period

Source/Study

Civil aviation (freight)

0.907 (high)

1990-2007

IOP Science study 

Civil aviation (freight)

0.711 (strong)

2008-2017

IOP Science study 

Inland waterway (freight)

0.816 (strong)

1990-2007

IOP Science study 

Inland waterway (freight)

0.789 (strong)

2008-2017

IOP Science study 

Road transport (freight)

0.715 (strong)

1990-2007

IOP Science study 

Road transport (freight)

0.741 (strong)

2008-2017

IOP Science study 

Railway (freight)

0.668 (strong)

1990-2007

IOP Science study 

Railway (freight)

0.558 (moderate)

2008-2017

IOP Science study 

Water transportation (freight)

0.750 (strongest)

1989-2018

E3S Conferences study 

Highway (freight)

0.709 (strong)

1989-2018

E3S Conferences study 

Pipeline (freight)

0.700 (strong)

1989-2018

E3S Conferences study 

Railway (freight)

0.678 (strong)

1989-2018

E3S Conferences study 

Civil aviation (freight)

0.593 (moderate)

1989-2018

E3S Conferences study 


The point is that we cannot be very sure that faster home broadband is the result of growth or the cause of growth. Nor can we know very much about how the “quality” of broadband (speed and latency performance, for example) produces growth or is a reflection of growth. 


Friday, January 5, 2024

Unicast Video Accounts for Most of the Internet Bandwidth Increases We See

Constant and significant increases in bandwidth consumption are among the fateful implications of switching from linear TV broadcasting to multicast video streaming. Consider that video now constitutes 52 percent to 88 percent of all internet traffic. 


Not all that increase is the direct result of video streaming services. Video now is an important part of social media interactions and advertising on web sites supporting consumer applications, though some studies suggest social media sites overall represent only seven percent to about 15 percent of video traffic consumed by end users. 


Also, there is some amount of internet video traffic between data centers, not intended directly for end users, possibly representing five percent of global internet traffic. 


Study

Date

Video Traffic Share (%)

Cisco Annual Internet Report (2023)

Dec 2022

88%

Sandvine Global Internet Phenomena Report (Q3 2023)

Sep 2023

83%

Limelight Networks State of the Real-Time Web Report (Q3 2023)

Oct 2023

76%

Ericsson Mobility Report (Nov 2023)

Nov 2023

72%

ITU Global Video Traffic Forecasts

Feb 2023

70% (2022)

Ookla Global Video Report (Q2 2023)

Aug 2023

65%

Akamai State of the Internet / Security Report (Q3 2023)

Oct 2023

60%

Statista: Global Internet Traffic Distribution by Content Type (2023)

Oct 2023

58%

GlobalWebIndex Social Video Trends Report (Q3 2023)

Sep 2023

55%

Juniper Networks Visual Networking Index (2023)

Feb 2023

52% (2022)


Ignoring for the moment the impact of video resolution on bandwidth consumption (higher resolution requires more bandwidth), the key change is that broadcasting essentially uses a “one-to-many” architecture, while streaming uses a unicast architecture. 


The best example is that a scheduled broadcast TV show, for example, can essentially send one copy of the content to every viewer (multicast or broadcast delivery). The same number of views, using internet delivery, essentially requires sending the same copy to each viewer separately (unicast delivery). 


In other words, 10 homes watching one multicast or broadcast program, on one channel, at one time consumes X amount of network bandwidth. If 10 homes watch a program of the same file size as the broadcast content, whether simultaneously or not, then bandwidth consumption is 10X. 


There are some nuances for real-world data consumption, such as the fact that consumption of linear video is declining or the fact that broadcasting uses a constant amount of bandwidth, no matter how many viewers in an area might be watching or not watching. 


Study

Comparison

Bandwidth Ratio (Streaming/Broadcasting)

"A Comparative Analysis of Video Streaming and Broadcasting for Live Sports Events" (2023)

Live sports streaming vs. multicast

10x - 15x

"Bandwidth Efficiency of IPTV vs. Traditional Broadcasting" (2022)

IPTV unicasting vs. terrestrial broadcasting

2x - 4x

"The Impact of Unicast Video Delivery on Network Traffic" (2021)

Unicasting video vs. multicast video

1.5x - 3x

"Comparing the Bandwidth Consumption of Live Streaming and P2P Delivery" (2020)

Live streaming vs. P2P for live events

3x - 6x

"The Bandwidth Efficiency of Video Streaming Protocols" (2019)

HTTP streaming vs. RTMP streaming

1.2x - 2x

"A Study of User-Generated Video Delivery on Social Media Platforms" (2018)

User-generated video streaming vs. traditional video streaming

2x - 4x

"The Bandwidth Implications of 4K and 8K Video Streaming" (2017)

Higher resolution streaming vs. standard definition

4x - 8x

"The Impact of Mobile Video Streaming on Network Congestion" (2016)

Mobile video streaming vs. fixed-line streaming

1.5x - 3x

"The Future of Video Delivery: A Cost Comparison of Streaming and Broadcasting" (2015)

Streaming vs. broadcasting for future content delivery

2x - 4x

"The Bandwidth Efficiency of Video-on-Demand Services" (2014)

Video-on-demand streaming vs. linear broadcasting

1.5x - 2.5x


There are other nuances as well. Since a broadcast video stream often is viewed on a television set, it is possible that multiple viewers “share” viewing of the same content. If one TV is receiving a program, and five people are watching, the “single delivery” supports five views. 


On a “per viewer” basis, X amount of delivery bandwidth is X/5 for each viewer of the same program. 


If five people watch a program of equivalent file size at the same time, data consumption is 5X. 


Study

Year

Methodology

Streaming Bandwidth (Mbps)

Linear Broadcasting Bandwidth (Mbps)

Nielsen

2022

Network traffic analysis

3.1-4.7 (average)

0.1-0.2 (average)

OpenVault

2023

ISP data analysis

1.8-2.5 (average)

0.05-0.15 (average)

Pew Research Center

2021

Survey and network analysis

2.3-3.8 (average)

0.1-0.2 (average)

University of Zurich

2019

Network monitoring and simulation

2.0-3.5 (average)

0.08-0.18 (average)

Akamai

2020

Global traffic analysis

1.6-2.8 (average)

0.04-0.12 (average)

Sandvine

2022

Network traffic analysis report

3.5-5.0 (peak)

0.15-0.25 (peak)

Netflix

2021

Open Connect content delivery platform report

0.5-1.5 (average)

N/A

BBC Research & Development

2018

HbbTV hybrid broadcasting analysis

1.0-2.0 (combined)

0.03-0.08 (combined)

Bitmovin

2023

Video encoding and delivery technology report

0.8-1.8 (efficient encoding)

N/A

Ericsson

2022

Mobile network video traffic report

0.5-2.0 (mobile average)

N/A


The point is that the shift from broadcasting (multicasting) to unicast entertainment video was destined to dramatically increase internet data consumption.


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