95 points grep_it 2 hours ago 19 comments
nesarkvechnep 1 hour ago | parent
Suhinnall27 1 hour ago | parent
FabHK 39 minutes ago | parent
Per-lecture reading lists are on the course page [1]. He also points at Elaine Shi's Foundations of Distributed Consensus and Blockchains [2] and Andrew Lewis-Pye's Consensus in 50 pages [2] as background, though these are more textbooks, not papers.
Remarkably, the first 7 lectures deal with permissioned systems, recapitulating the classic results of consensus in distributed systems (Dolev Strong, FLP impossibility, CAP) - no blockchain in sight. This takes us to the state of the art at the end of the 1990's (with algorithms that can achieve consensus in the presence of byzantine failures, namely Byzantine Paxos and PBFT, though he discusses a modern variant, permissioned Tendermint from 2014).
Lecture 8 stays permissioned and proves consistency and chain quality for the longest-chain rule. Only at Lecture 9, with proof of work, does anything specifically blockchain appear; then L10 block rewards and selfish mining, L11 transaction fee mechanism design; L12 proof-of-stake sybil resistance with the whole litany of attacks possible there.
Very good series in my view, and shows how little technical merit this whole blockchain circus has - nearly all the great properties people tout (reliability, consistency, audibility, availability) can be achieved with good old permissioned tech more efficiently, with pretty instant and deterministic finality.
Anyway, I found the series worth watching for the classical consensus material alone.
[0] https://www.youtube.com/playlist?list=PLEGCF-WLh2RLOHv_xUGLq...
[1] https://timroughgarden.github.io/fob21/
jermberj 1 hour ago | parent
vulcan01 1 hour ago | parent
derefr 35 minutes ago | parent
throwaway219450 30 minutes ago | parent
I would be concerned as an examiner if this came across my desk, more so if I read the colophon where the author comments that they intended to write their own typesetting system, before reading Knuth and wisely concluding that they were unlikely to do anything better than TeX. Top tier yak shaving there.
moritz 1 hour ago | parent
Just the first 2 chapters (~30p) + the Conclusion (~10p) contain a lot of useful food for thought.
brcmthrowaway 44 minutes ago | parent
appstorelottery 41 minutes ago | parent
brcmthrowaway 38 minutes ago | parent
toast0 30 minutes ago | parent
Erlang is simply the right language to build a chat server with, and it doesn't make sense to rewrite it in another language, even though Facebook did that with the server for Messenger. :P
Certainly parts of the WhatsApp stack have changed considerably. No more FreeBSD / no more only a handful of OS processes per node, much less Mnesia (not sure if there's any Mnesia left... I don't get that level of information). I've seen signs that they may have returned to large nodes, so they might be back to millions of connections per node, but that was very much not the case when I left; connection counts had dropped on our FreeBSD nodes because we were doing a lot more on the chat channel and then again because the Facebook nodes we migrated to were so much smaller than our FreeBSD nodes.
nylonstrung 1 hour ago | parent
In addition to making LaTex which has almost nothing to do with it
phtrivier 49 minutes ago | parent
It's not like they have light schedules - they do research, they have classes, they attendconference, and they have jobs, etc...
And some benefit from tenure, which give them time to deeply focus on some topics.
But I can't imagine how I would write tex in ten years in Pascal on archaic machines if I had all the time to myself.
Doing that in the middle of understanding more computer science than my eyes would ever read ?
What do they do with their time ? What do they don't do ? Are they able to skip the eating and pooping and sleeping and cleaning their house and picking up parcels at the post office and grocery shopping parts ?
Or a proto Unix being written in three weeks. Concretely, what are the days of those three weeks made of ? Especially since it's famously when the spouse was NOT there to handle the housekeeping...
I see not amount of "life hacks" and "atomic habits" and whatnot helping with that. But it's probably just as natural to them as biking - and you can't explain biking, I guess ?
drfuchs 25 minutes ago | parent
Anyway, we'd been doing morning, noon, and night debugging sessions together for a number of days. On maybe the 3rd morning, I arrived at his office and was speaking with his secretary of many years, Phyllis Winkler, when Knuth came in. He handed her a stack of maybe a dozen or two pages, saying "Here's a paper I wrote; please type it in." When? When did he write it? It's still a mystery to me.
mjb 40 minutes ago | parent
"The Maintenance of Duplicate Databases" https://datatracker.ietf.org/doc/html/rfc677 (AFAIK the genesis of the use of logical clocks in distributed systems).
"Chain Replication for Supporting High Throughput and Availability" https://www.usenix.org/legacy/event/osdi04/tech/full_papers/... (Chain replication is how a huge percentage of real-world cloud-scale data replication is done).
"Brewer’s Conjecture and the Feasibility of Consistent, Available, Partition-Tolerant Web Services" (The formalization of CAP, which caused a ton of very poor trade-off thinking in the decade that followed by defining Availability in a very goofy way. Still a classic.)
"Paxos Made Live" https://research.google/pubs/paxos-made-live-an-engineering-... (Brought a much-needed engineering perspective to a conversation that was largely theoretical up until this time.)
"Practical Byzantine fault tolerance" (Moved the conversation on Byzantine faults forward significantly).
This is just a short selection. There's so much good stuff going back in the 70s and 80s distributed database literature, for example (and in the modern systems and DB literature too).
bigcat12345678 35 minutes ago | parent
I gradually realized that Lamport is more of the godfather of distributed system than Hinton is to deep learning. Lamport is less prominent than Shannon is to information theory. Shannon is the closest to any title of "gold-like" figure to a scientific discipline of universal relevance in modern society.
Lamport specifically revealed a philosophical connections between computer systems and physics, in the parallel of distributed consensus to relativity theory. To me, the enlightenment is that, the relations between events happening in a distributed system, is more fundamental than their absolute ordering, thus the central role of an "observer". I haven't really analyzed if this realization is from Lamport's papers, or my general reading and thinking, but I am moderately confident that general readings are heavily influenced by Lamport's papers, or can be traced back to be compatible with Lamport's thinking. I have not seriously study if this connection is valid in depth, which might be another pure amateur speculation of mine.
One thing I think Lamport falls short is that his writing is not easy to read and understand. I unconciously feel that Lamport (and Dario from Anthropic) probably share a hidden sense of intellectual supriority grew from their own experience throughout their career. So their writing (and Dario's gospel) all share a unchangable sense of narration from their own delicate and graceful ideas, much less of faciliating the understanding to their audience. In this cateogry, Shannon is abosolutely superior in any measure, in his writing, ideas are so naturally presented, although the implications of the ideas remain elusive due to the inherent depth.
Also, among the 3 prominent figures of modern AI: Hinton/Bengio are more like Shannon, Lecun is closer to Lamport.
Enough random rambling. Lamport, as indicated by the outweight presence in this list, is no doubt the single most important scientist in distributed systems.
toast0 12 minutes ago | parent
The important thing in most distributed systems is having an order. Having a single observer serialize events as it receives them is so much more tractable than trying to use absolute order. Using absolute order requires very precise time synchronization which is hard; using absolute order requires knowing when you have received all the reports of events that already happened which is hard. Determining a designated observer isn't typically easy, but having it determine the order it observes events is easy. If two events happen at a similar time it's typically not a big deal which one is considered first as long as all nodes will agree on the result --- let the designated observer just pick the first one it sees works pretty well. If your report takes an unexpectedly long time to make it to the designated observer, then it won't be first and you'll deal.
Much better than trying to figure out unknowable questions of relativity. :P
manesioz 6 minutes ago | parent
- DDB: https://www.allthingsdistributed.com/files/amazon-dynamo-sos...
- MapReduce: https://www.cs.princeton.edu/courses/archive/fall13/cos518/p...
- Spark/RDDs: https://www.usenix.org/system/files/conference/nsdi12/nsdi12...
- BigTable: https://static.googleusercontent.com/media/research.google.c...