The Wayback Machine: Fighting Digital Extinction in New Ways
blog.archive.org
blog.archive.org
This is where archival meets browser/web tech, in a kinda complicated way. I would hope that people from both of these backgrounds have been working on this stuff together. If not, please start soon.
Feedback to info@archive.org also generally nets responses, though you may want to give that a week or so for them to get back to you.
To me it's kind of obvious that "custom archivers" approach isn't going to scale to the entire web. "Customer archivers" implies some set of rules per "site engine". The problem is that that are probably (guessing here) 1M+ unique "site engines", or whatever you call them. I.e. the web is way too diverse.
There probably needs to be something generic that works with complicated pages 95% of the time, without previous knowledge of the API structure/dynamic.
If "custom archivers" is the plan to tackle the archival of the web for the past five and the next fifteen years.. I really think we need to do better.
1. The Web is much less diverse than you think it is, for two reasons.
2. Zipf/Power functions: the largest sites are a huge part of the Web. If people are spending (say) an hour online per day, and 40 minutes of that are FB/Insta, then all the rest of the Web gets 20 minutes. And much of that will be the next most popular site. Attention is fundamentally limited. In terms of experience, the Web is fairly small.
3. Which of course isn't content, but here again, much of the original content only hits a relatively small number of sites. I have looked into news site stats, and what you'll see for national papers of record (NYT, WSJ, WashPo, etc.) is about 150-500 items per day (Sundays are highest). The news services (AP, UPI, AFP, Reuters) tend to run 1,000 - 5,000 items/day. User-generated content sites are obviously higher than this, though much of that content is derivative (sourced/linked elsewhere).
4. Web engines. Even with a diversity of sites, there are a limited number of systems driving this. I've been noting a consolidation around news sites of a number of standard templates, and of course FB, YT, Instagram, Reddit, etc., will get you a bunch of specific Web engines. Which means it's less "one site per archiver" and more "what sites does this archiver work on?". And worse: over what period of time -- just because an archiver works on www.example.com from 2018-1-1 to 2018-12-31 doesn't mean it works from 2019-1-1 onward.
There are a few other approaches. Archive.today (archive.is / archive.fo) basically translate pages to their own representation. There are standardised presentation engines based on Readability (now defunct as a site, though its parser remains), used by Mozilla's Pocket and other tools (InstaPaper, etc.).
5. I also suspect we may see at least some normalisation around HTML5 (or subsequent) elements. Which I'd really like to have happen. NY Times, for example, has abandoned <table> for its own custom, and horribly broken, table-presentation alternative crap.
6. Yes, this leaves one-off SPAs which may be hard to archive. I don't know what the plans are for that.
(Now to see what IA have had to say about any of this.)
Update: from an IA response in this thread, "brozzler":
Most of our parser-based crawling is done by Heritrix (crawler.archive.org) and most of our render-based crawling is done by a proxy-based recorder similar to what you theorize (https://github.com/internetarchive/brozzler).
https://addons.mozilla.org/en-US/firefox/addon/wayback-machi...
EDIT: Maybe it's this one[1], but it's under a different license, AGPLv3. The repo also hasn't been updated since 2016, but the extension page says last update was in 2018. Are the changes and re-licensed source elsewhere?
[1] https://github.com/internetarchive/wayback-machine-firefox
And just to be clear, I think the Wayback Machine is great and the fact that I can lookup my personal, basically zero traffic website from 15 years ago and see it is truly astonishing to me–I'm just curious what this look likes in 10, 20, 50 years.
If you're in San Francisco, the Internet Archive is also hosting a block part the evening of Oct 23rd from 5pm-10pm, and staff will be there to answer questions (tickets are $15).
Disclaimer: No affiliation
Source? Sounds like one wouldn't know a better alternative exists until one discovers it...
For instance see: https://en.wikipedia.org/wiki/Entropy_%28information_theory%...
and
For example to recover the state of an entire simulated universe you just need the value of the initial seed and the generator.
Compressing arbitrary inputs using emergent properties may never be practical, but in it seems reasonable that you could trade computation for compression to an arbitrary extent (searching an emergent series for chunks of data that match your input).
Then it can be compressed down to an index into the libraryofbabel
For complex reason, human language (spoken and written) is about 50% redundant, across a wide range of independent languages.
Tabular data can be vastly more compressible, and I'd routinely see 90% or better compression across a range of datasets (mostly business, financial, and healthcare data). Data of highly random events might be somewhat less so.
Image, audio, and video data, when in codecs is already highly compressed. When you're working with raw (WAV, TIFF, BMP, RAW) datatypes, there's a huge opportunity for compression, but mp3, ogg, mp4, png, gif, jpg, etc., are pretty highly compressed. There's a distinction between lossy (jpg, mp3) and lossless (png, AALC) formats. You get smaller files with lossy formats, but you're actually losing some of the original data, whilst lossless codecs allow fully reconstruction of the original source image, audio, or video.
Your comment about simulated universes gets to a key philosophical question about information, truth, and models. Generally, any representation we have of the universe is at best an abstraction of it, and hence a small, lossy, model.
This needn't necessarily be the case:
I used to run an old forum that's now just an archive and I've been really meaning to download all the images linked in the posts in case they go offline. At some point during the forum's run I added a file upload feature which seems to have helped a lot (by avoiding external dependencies), but did not solve the problem. Fortunately I believe I have many of the missing images saved, but there very likely are important things missing.
I'm planning to launch a new forum next year and I think I'm going to write a script to periodically archive all images and links posted to the forum. I might make external images not allowed, though that seems rather extreme and might just make people post a link rather than use the upload feature.
There's an incredible amount of information stored in obscure web forums, often in posts with photos. The damage that services like Photobucket have done by deleting old files, or by restricting hotlinking, has been incalculable. I worry that Imgur has the potential to do even worse damage, as so many forum users have converged on their service after others became unavailable.
(Imgur's popularity with Reddit users leaves Reddit highly vulnerable as well.)
Just thinking out loud here.
1) It depends upon enough users being able to consistently contribute a lot of storage to the system. It turns out that this is hard. Casual users are actually a hindrance, because they'll suck up a bunch of bandwidth trying to replicate data, then drop out of the swarm forever.
2) The service will inevitably be used to host illegal pornographic content. Without some sort of centralized control, there's no way to stop this, making participation legally problematic.
If you can come up with a set of URLs for your content, you can archive it by prefixing it with "https://web.archive.org/save"
So if you have:
https://www.example.com/page-1
https://www.example.com/page-2
https://www.example.com/page-3
You'd generate (and request): https://web.archive.com/save/https://www.example.com/page-1
https://web.archive.com/save/https://www.example.com/page-2
https://web.archive.com/save/https://www.example.com/page-3
This is trivially scripted, or there are a few existing generators.I've created archives of ~12,000 or so posts, from an old desktop Linux system over modest residential broadband, in less than an hour, running up to 20 parallel requests via xargs or GNU parallel.
For a basic curl-based URL archiver (call once per URL on your list):
curl -s -I -H "Accept: application/json" "https://web.archive.org/save/${1}" |
grep '^x-cache-key:' |
sed "s,https,&://,; s,\(${1}\).*$,\1,"Total used storage: 50 PetaBytes
-=--=--=-=-=-=-=-
https://archive.org/web/petabox.php
A few highlights from the Petabox storage system:
Density: 1.4 PetaBytes / rack
Power consumption: 3 KW / PetaByte
No Air Conditioning, instead use excess heat to help heat the building.
Raw Numbers as of August 2014:
4 data centers, 550 nodes, 20,000 spinning disks
Wayback Machine: 9.6 PetaBytes
Books/Music/Video Collections: 9.8 PetaBytes
Unique data: 18.5 PetaBytes
Total used storage: 50 PetaBytes
From https://www.backblaze.com/blog/petabytes-on-a-budget-10-year... on September 24, 2019.
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Storage Pod 1.0 allowed us to store one petabyte of data for about $81,000.
Today we’ve lowered that to about $35,000 with Storage Pod 6.0.
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Obviously they paid more in storage in the past than today and it is a different solution but if you were to buy 50 PetaBytes today in one of Backblaze's Storage Pod 6.0s it would be $1,750,000.
And there is ongoing maintenance & costs of drive failures.
I feel the need to donate to Internet Archive soon, as I have greatly benefited from it in the past and am sure to in the future too!
That yearly graph is pretty nice :)
I suppose you can also set it up as a keyword search in your favourite browser.
Whenever possible everyone should be archiving to both anyway.
I'm a fan of them.