This handbook is very much a work in progress. It's incomplete, and I'm filling in bits and pieces as I go!
You should file issues and ask questions about aspects of p2p you're interested in!
This handbook is an introduction to the primitives of peer-to-peer systems for the web, and a guide to the powerful abstractions you can build on top of those primitives to form distributed systems.
This handbook's goal is to prepare you to use the excellent ecosystem of p2p modules available on npm today, and to develop your own p2p modules and applications on top.
- Status: Living Document
- THE HANDBOOK
- Inspiration
This is the handbook I wish that I had when I started delving down the peer-to-peer rabbit hole.
what is p2p
technology grants us superpowers that we would otherwise not have
- offline-first
- abstract away corporate infrastructure
- data can flow more freely
- https://en.wikipedia.org/wiki/CAP_theorem
- dominictarr's article
Consistency. Availability. Partition tolerance. Choose two.
It's possible to "cheat" and get all three: eventual consistency
Whereas the OSI model breaks networks into 7 layers, and the TCP/IP model does that into 4, it's beneficial to think of P2P in terms of roles:
+=============================+
| roles |
+=============================+
| applications |
+-----------------------------+
| protocols & data structures |
+-----------------------------+
| content routing |
+-----------------------------+
| swarm topology |
+-----------------------------+
| peer routing |
+-----------------------------+
| discovery |
+-----------------------------+
| identity |
+-----------------------------+
In a centralized system, this is easy: ask the user to provide an identifier. Maybe an email address, maybe a username. The server checks whether that identifier has already been taken. If it has, the user must choose another identifier. If the identity server is down, nobody can sign in, and nobody can create new identities. In fact, the whole system might become unusable if the software can't verify you are who you say you are.
In a distributed system, you are permanently stuck with such restrictions:
- there is no single authority to register a new identifier with
- you cannot know of all other peers in the network, so any identity you choose may be in conflict with another peer now or in the future
- there is no single authority to corroborate your claim that you are who you say you are
One easy solution might be to have each peer generate a random number between 0 and some big number. If the number is big enough, you're unlikely to see a conflict now or in the foreseeable future (though the odds grow quadratically. This solution satisfies #1 and #2, but not #3: anyone who saw your identifier could impersonate you on the network, since there are no authorities to check who's who. We need a way for users to prove they are who they claim to be, without an authority to provide confirmation.
What if you could provide some sort of proof that you were the author of a given message? A digital signature that only the holder of that large random number could produce?
Public key cryptography does just this: it's like the above, except two "random" numbers are generated: one you share widely as your identity, and the other you keep secret. You can use the secret key to produce a signature on any data you'd like, which anybody else in possession of the message, the signature, and your public key can verify: all without any remote authorities.
Public keys are long and unwieldy for humans, like
7bc0bd9bd557547b81d53196674c869c6d698164c68b0033fd4b48849ce59110. You could
use a human "friendly" encoding like
proquint to make this
bazol-rikur-lijit-rudij-jilam-kikag-satik-sipim-nojuk-hojam-rapis-gubab-rajuz-hafoh-jogun-bihan.
Pronouncible, but still not particularly useful to a human being.
There is a conjecture called Zooko's Triangle that claims no system can achieve all three properties of being human-meaningful, decentralized, and secure.
given a key, find interested peers
The bittorrent dht, mainline, is huge: there are millions of nodes worldwide. You can store arbitrary data in them, but be warned that most nodes are configured to aggressively flush keypairs they receive.
This approach is great when the swarm lacks the resources to maintain a powerful reliable central server for discovery -- a DHT is an excellent means for free short-term storage of peer location information. Because of its low retention duration, it may be required for peers to republish their contact information at a regular interval.
- dht
- discovery-channel
- webtorrent
Run a centralized server(s) at some known IP that many other peers also connect to. This server can act as a connection broker, exchanging ip:ports of peers to help them connect to each other directly.
This is also a partially effective means of traversing around certain types of NATs.
This approach need not be centralized: bittorrent employs a decentralized set of trackers, which peers are free to decide between to use for discovery.
This is useful when your potential swarm size is small, and your potential peers are located broadly across the open internet and require very accessible points (maybe served over port 80) to find.
- signalhub
Multicast DNS is a very well supported protocol (bonjour/zeroconf+apple/airplay, etc) for finding other machines that are on the same network as you.
It consists of sending a "query" message to the entire network. Based on its contents, machines who believe themselves applicable can respond with their information to facilitate direct contact between the two.
This is useful when your peers are likely to be on the same network as you.
- mdns
- discovery-channel
When all else fails, you can still ship your application with a list of hardcoded peer locations, to help peers join the larger network. This could be as simple as
[
"QmVvUkSZqM2EG1SK9s49uN6pizNhXVFHpuJgh53my4A4pP": "tcp://12.62.93.214:9090",
"QmawE3T8oyxMgz5KaYvsJ2BgQUZWvnKzebwLhqGPA8sqGb": "udp://24.243.12.9:1234",
"QmQXV24ZjKPGiXfeQd4etZGgywzd4wfaGKGS48EGVdrS6C": "utp://99.4.78.181:97"
]Store peer IDs and IP addresses as low-TTL DNS entries (dns round robin). This relies on DNS' peer-to-peer-like record dissemination protocol to propagate new peers over the time domain.
This requires a central service that would function a lot like a tracker: it needs to both a) maintain a subset of active peers in the swarm, and b) publish a further subset of them to a DNS server.
This approach is so useful because your peer application doesn't even need to understand p2p protocols: it can just connect to some known example.com and get a new peer every time it connects.
- Q: any modules for publishing round robin dns entries?
given a peer-id and peer-info, get a duplex stream
"with this piece: what if we could map a public key to a duplex stream, across the world?"
sub-topics
- NAT hole-punching
- relaying
- the topology of peers in the network
- http://blog.daviddias.me/2014/12/20/webrtc-ring
- structured
- fully-connected-topology
- kademlia
- chord
- unstructured
- signalhub
- bittorrent swarm
given a message, figure out which peers to route it to ^ need to get a more solid understanding on this
- examples
- gossip
- secure-gossip
- hyperlog / ssb (anti-entropy)
- gossip
data structures well suited to an unreliable network (or offline) with untrusted peers
- stream
- crdt
- https://en.wikipedia.org/wiki/Conflict-free_replicated_data_type
- https://github.com/pfraze/crdt_notes
- append-only log
- hyperlog
- secure-scuttlebutt https://scuttlebot.io/more/protocols/secure-scuttlebutt.html
- content addressable store
- merkle linking (blockchain, hyperlog, ssb, etc) a. merkle dag (ipfs)
- dht
- leveldb
- abstract-blob-store
what messages the peers of the network agree to exchange
- streams: the ultimate transport-agnostic abstraction
- multistream: multiplexing protocols over a stream
TODO: sort these into their respective sections? or have tiny per-module bits?
- signalhub (peer discovery)
- hyperlog (identity, data structure, protocol)
- discovery-channel (peer discovery)
- discovery-swarm (peer discovery + content routing + swarm)
- bittorrent-dht (peer discovery + swarm)
- ssb-keys (identity)
- pubsub-swarm (identity, peer discovery, swarm, content routing)
- secure-gossip (content routing, protocol)
- p2p picture sharing service (walk through glueing together modules from the roles to do this)