Code change:
Ali, this PR looks nice. Two meta-issues (which we can talk about whenever). I changed my references in the draft to a more complete format (using ins: can result in odd formatting in the References section). We don't have to do that for all the references in -04, but that would be a good thing to do in an editorial pass. I see that you're making some terminology changes (from "delivery" to "streaming", stuff like that). I agree with the changes you made in this PR, but we may want to make sure that they are made globally, for consistency.
I was not sure about the reference format, normally I just use the casual format: Authors, "Title," Journal/Conference, Date. I saw the missing author names and realized "ins" would do the trick. By no means, I am tied to that format - don't know even know what "ins" stands for here :)
From URL : "as in the author list, ins is an abbreviation for "initials/surname";" I tend to think an editorial pass on references would be better as a separate commit, where they need cleaning. Anything that somehow made it in and breaks the "make" needs fixing, but others maybe later?
I suggest a definition along these lines: Streaming is transmission of a continuous content from a server to a client and its simultaneous consumption by the client. ("simultaneous" is the key here) This has two implications: 1) Server transmission rate (loosely or tightly) matches to client consumption rate. That is, no buffer overrun or underrun is desirable/acceptable. 2) Client consumption rate is also limited by real-time constraints as opposed to just bandwidth availability. That is, client cannot fetch the content not available yet.
+1, this sgtm. But this probably implies a refactor of the intro section and the abstract, to better focus on the relevant use case.
I can take a crack at this.
Ali has text for this, will create a PR for the issue.

Related discussion:
text: 3.1. Adaptive BitRate (ABR) is a sort of application-level response <del> strategy in which the receiving media player attempts to detect the available bandwidth of the network path by experiment or by observing the successful application-layer download speed, then chooses a video bitrate (among the limited number of available options) that fits within that bandwidth, typically adjusting as changes in available bandwidth occur in the network or changes in capabilities occur in the player (such as available memory, CPU, display size, etc.). </del> <ins> strategy in which the streaming client attempts to detect the available bandwidth of the network path by observing the successful application-layer download speed, then chooses a bitrate for each of the video, audio, subtitles and metadata (among the limited number of available options) that fits within that bandwidth, typically adjusting as changes in available bandwidth occur in the network or changes in capabilities occur during the playback (such as available memory, CPU, display size, etc.). </ins> The choice of bitrate occurs within the context of optimizing for <del> some metric monitored by the video player, such as highest achievable video quality, or lowest rate of expected rebuffering events. </del> <ins> some metric monitored by the client, such as highest achievable video quality or lowest chances for a rebuffering (playback stall). </ins> 3.2. <del> ABR playback is commonly implemented by video players using HLS </del> <ins> ABR playback is commonly implemented by streaming clients using HLS </ins> RFC8216 or DASH DASH to perform a reliable segmented delivery of <del> video data over HTTP.  Different player implementations and receiving devices use different strategies, often proprietary algorithms (called rate adaptation or bitrate selection algorithms), to perform available bandwidth estimation/prediction and the bitrate selection. Most players only use passive observations, i.e., they do not generate probe traffic to measure the available bandwidth. </del> <ins> media over HTTP.  Different implementations use different strategies ABRSurvey, often proprietary algorithms (called rate adaptation or bitrate selection algorithms) to perform available bandwidth estimation/prediction and the bitrate selection.  Most clients only use passive observations, i.e., they do not generate probe traffic to measure the available bandwidth. </ins> This kind of bandwidth-measurement systems can experience trouble in several ways that can be affected by networking design choices.