Original text:
Operational Considerations for Streaming Media <del> draft-ietf-mops-streaming-opcons-03 </del>  Abstract IETF 108 meeting: https://www.youtube.com/watch?v=ZaRsk0y3O9k&t=2m48s  2. 2.1. Comcast's streaming and web video consumption rose by 38%, with their reported peak traffic up 32% overall between March 1 to <del> March 30 Comcast, </del>  AT&T reported a 28% jump in core network traffic (single day in April, as compared to pre stay-at-home daily average traffic), with video accounting for nearly half of all mobile network traffic, while social networking and web browsing remained the highest percentage (almost a quarter each) of overall mobility <del> traffic ATT, and </del>  Verizon reported similar trends with video traffic up 36% over an <del> average day (pre COVID-19) Verizon. </del>  We note that other operators saw similar spikes during this time period.  Craig Labowitz Labovitz reported this increase to the significant rise in gaming-related DDoS attacks (LabovitzDDoS), as gaming usage also increased.)  3. 3.1.

Reviewer comments:
…nd update public discussion venues
I left the previous description of Sanjay Mishra's presentation, but removed the sub-references in that description (which included the problematic ATT reference).
We should try to improve this reference - it's a long page, additions are at the top, so we have to either scroll for a long time or search for the date to get the relevant part of the page. Maybe reach out to ATT to get fragment tags that work?

Revised text:
Operational Considerations for Streaming Media  <ins> draft-ietf-mops-streaming-opcons-latest </ins> Abstract IETF 108 meeting: https://www.youtube.com/watch?v=ZaRsk0y3O9k&t=2m48s <ins> MOPS 2020-10-30 Interim meeting: https://www.youtube.com/watch?v=vDZKspv4LXw&t=17m15s </ins> 2. 2.1. Comcast's streaming and web video consumption rose by 38%, with their reported peak traffic up 32% overall between March 1 to  <ins> March 30, </ins> AT&T reported a 28% jump in core network traffic (single day in April, as compared to pre stay-at-home daily average traffic), with video accounting for nearly half of all mobile network traffic, while social networking and web browsing remained the highest percentage (almost a quarter each) of overall mobility  <ins> traffic, and </ins> Verizon reported similar trends with video traffic up 36% over an  <ins> average day (pre COVID-19)}. </ins> We note that other operators saw similar spikes during this time period.  Craig Labowitz Labovitz reported this increase to the significant rise in gaming-related DDoS attacks (LabovitzDDoS), as gaming usage also increased.) <ins> Subsequently, the Inernet Architecture Board (IAB) held a COVID-19 Network Impacts Workshop IABcovid in November 2020.  Given a larger number of reports and more time to reflect, the following observations from the draft workshop report are worth considering. Participants describing different types of networks reported different kinds of impacts, but all types of networks saw impacts. Mobile networks saw traffic reductions and residential networks saw significant increases. Reported traffic increases from ISPs and IXPs over just a few weeks were as big as the traffic growth over the course of a typical year, representing a 15-20% surge in growth to land at a new normal that was much higher than anticipated. At DE-CIX Frankfurt, the world's largest Internet Exchange Point in terms of data throughput, the year 2020 has seen the largest increase in peak traffic within a single year since the IXP was founded in 1995. The usage pattern changed significantly as work-from-home and videoconferencing usage peaked during normal work hours, which would have typically been off-peak hours with adults at work and children at school.  One might expect that the peak would have had more impact on networks if it had happened during typical evening peak hours for video streaming applications. The increase in daytime bandwidth consumption reflected both significant increases in "essential" applications such as videoconferencing and VPNs, and entertainment applications as people watched videos or played games. At the IXP-level, it was observed that port utilization increased. This phenomenon is mostly explained by a higher traffic demand from residential users. </ins> 3. 3.1.