Wiki source code of Networks
Version 36.1 by Zenna Elfen on 2026/01/05 19:52
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19.1 | 1 | (% class="jumbotron" %) |
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20.1 | 5 | = Peer-for-Peer Networks = |
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20.1 | 7 | P4P, short for Peer-4-Peer (which in turn is short for Peer-for-Peer) are a family of networks which build on principles of local-first, peer-2-peer, open-source, routing agnostic (offline-first) and mutual-aid principles. The above is a lot of terms which in and of themselves carry a lot of meaning, yet when combined they enable censorship-resistant, resilient and adaptive, sustainable and energy-efficient communication infrastructures. |
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19.1 | 8 | ))) |
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33.1 | 19 | == Building Blocks of P4P Networks == |
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36.1 | 22 | (% class="row" %) |
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| 24 | To fully assemble a P4P network one needs a few different building blocks, below is an overview of 15 of those building blocks. Lost in translation? Take a look at the [[terminology>>doc:P4P.Definitions.WebHome]]. | ||
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32.1 | 25 | |
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27.1 | 26 | {{box title="==== Contents ==== |
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| 28 | ====== ======"}} | ||
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28.1 | 29 | {{toc depth="5"/}} |
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27.1 | 30 | {{/box}} |
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35.1 | 44 | ==== ==== |
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15.1 | 46 | ==== **1. Data Synchronization** ==== |
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11.1 | 47 | |
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13.1 | 48 | > Synchronization answers **how updates flow between peers** and how they determine what data to exchange. This layer is about **diffing, reconciliation, order, causality tracking, and efficient exchange**, not persistence or user-facing collaboration semantics. |
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15.1 | 50 | * //How do peers detect differences and synchronize state?// |
| 51 | * Examples: Range-Based Set Reconciliation, RIBLT, Gossip-based sync, State-based vs op-based sync, Lamport/Vector/HLC clocks, Braid Protocol | ||
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15.1 | 55 | ==== **2. Collaborative Data Structures & Conflict Resolution** ==== |
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11.1 | 56 | |
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13.1 | 57 | > This layer defines **how shared data evolves** when multiple peers edit concurrently. It focuses on **conflict-free merging, causality, and consistency of meaning**, not transport or storage. CRDTs ensure deterministic convergence, while event-sourced or stream-driven models maintain a history of all changes and derive consistent state from it. |
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15.1 | 59 | * //How do peers collaboratively change shared data and merge conflicts?// |
| 60 | * Examples: CRDTs (Yjs, Automerge), OT, Event Sourcing, Stream Processing, Version Vectors, Peritext | ||
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15.1 | 64 | ==== **3. Data Storage & Replication** ==== |
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13.1 | 65 | |
| 66 | > This layer focuses on **durability, consistency, and redundancy**. It handles write-paths, crash-resilience, and replication semantics across nodes. It is the “database/storage engine” layer where **data lives and survives over time**, independent of sync or merging logic. | ||
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15.1 | 68 | * //How is data persisted locally and replicated between peers?// |
| 69 | * Examples: SQLite, IndexedDB, LMDB, Hypercore (append-only logs), WALs, Merkle-DAGs (IPFS/IPLD), Blob/media storage | ||
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15.1 | 73 | ==== **4. Peer & Content Discovery** ==== |
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13.1 | 75 | > Discovery occurs in two phases: |
| 76 | > 1. **Peer Discovery** → finding _any_ nodes | ||
| 77 | > 2. **Topic Discovery** → finding _relevant_ nodes or resources | ||
| 78 | > These mechanisms enable decentralized bootstrapping and interest-based overlays. | ||
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15.1 | 80 | * //How do peers find each other, and how do they discover content in the network?// |
| 81 | * Examples: DHTs (Kademlia, Pastry), mDNS, DNS-SD, Bluetooth scanning, QR bootstrapping, static peer lists, Interest-based routing, PubSub discovery (libp2p), Rendezvous protocols | ||
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15.1 | 85 | ==== **5. Identity & Trust** ==== |
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13.1 | 86 | |
| 87 | > Identity systems ensure reliable mapping between peers and cryptographic keys. They underpin authorization, federated trust, and secure overlays. | ||
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15.1 | 89 | * //How peers identify themselves, authenticate, and establish trustworthy relationships?// |
| 90 | * Examples: PKI, Distributed Identities (DIDs), Web-of-Trust, TOFU (SSH-style), Verifiable Credentials (VCs), Peer key fingerprints (libp2p PeerIDs), Key transparency logs | ||
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15.1 | 94 | ==== **6. Transport Layer** ==== |
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13.1 | 95 | |
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15.1 | 96 | > This layer provides logical connections and flow control. QUIC and WebRTC bring modern congestion control and encryption defaults; Interpeer explores transport beyond IP assumptions. |
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16.1 | 98 | * //How do peers establish end-to-end byte streams and reliable delivery?// |
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15.1 | 99 | * Examples: TCP, UDP, QUIC, SCTP, WebRTC DataChannels, Interpeer transport stack |
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15.1 | 103 | ==== **7. Underlying Transport (Physical/Link Layer)** ==== |
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| 105 | > Highly relevant for **offline-first / edge networks**, device-to-device communication, and mesh networks and relates to the hardware which facilitates connections. | ||
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16.1 | 107 | * //How does data move across the medium?// |
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15.1 | 108 | * Examples: Ethernet, Wi-Fi Direct / Wi-Fi Aware (post-AWDL), Bluetooth Mesh, LoRa, NFC, Cellular, CSMA/CA, TDMA, FHSS |
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15.1 | 112 | ==== **8. Session & Connection Management** ==== |
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| 114 | > Manages **connection lifecycle**, including authentication handshakes, reconnection after drops, and session continuation—especially important in lossy or mobile networks. | ||
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16.1 | 116 | * //How are connections initiated, authenticated, resumed, and kept alive?// |
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15.1 | 117 | * Examples: TLS handshake semantics, Noise IK/XX patterns, session tokens, keep-alive heartbeats, reconnection strategies, session resumption tickets |
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15.1 | 121 | ==== **9. Content Addressing** ==== |
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| 123 | > Content addressing ensures **immutability, verifiability, and deduplication**. Identity of data = cryptographic hash, enabling offline-first and tamper-evident systems. | ||
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16.1 | 125 | * //How is data addressed and verified by content, not location?// |
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15.1 | 126 | * Examples: IPFS CIDs, BitTorrent infohashes, Git hashes, SHA-256 addressing, Named Data Networking (NDN) |
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15.1 | 130 | ==== **10. P2P Connectivity** ==== |
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16.1 | 132 | > Connectivity ensures peers bypass NATs/firewalls to reach each other. |
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16.1 | 134 | * //How can two peers connect directly across networks, firewalls, and NATs?// |
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15.1 | 135 | * Examples: IPv6 direct, NAT Traversal, STUN, TURN, ICE (used in WebRTC), UDP hole punching, UPnP |
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15.1 | 139 | ==== **11. Session & Connection Management** ==== |
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| 141 | > Manages **connection lifecycle**, including authentication handshakes, reconnection after drops, and session continuation. | ||
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16.1 | 143 | * //How are connections initiated, authenticated, resumed, and kept alive?// |
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15.1 | 144 | * Examples: TLS handshake semantics, Noise IK/XX patterns, session tokens, keep-alive heartbeats, reconnection strategies, session resumption tickets |
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15.1 | 148 | ==== **12. Message Format & Serialization** ==== |
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| 150 | > Serialization ensures **portable data representation**, forward-compatible schemas, and efficient messaging. IPLD provides content-addressed structuring for P2P graph data. | ||
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16.1 | 152 | * //How is data encoded, structured, and made interoperable between peers?// |
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15.1 | 153 | * Examples: CBOR, Protocol Buffers, Cap’n Proto, JSON, ASN.1, IPLD schemas, Flatbuffers |
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15.1 | 157 | ==== **13. File / Blob Synchronization** ==== |
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| 159 | > Bulk data syncing has **different trade-offs** than small collaborative state (chunking, deduplication, partial transfer, resume logic). Critical for media and archival P2P use-cases. | ||
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16.1 | 161 | //How are large objects transferred and deduplicated efficiently across peers?// |
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15.1 | 162 | Examples: BitTorrent chunking, IPFS block-store, NDN segments, rsync-style delta sync, ZFS send-receive, streaming blob transfers |
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15.1 | 165 | ==== **14. Local Storage & Processing Primitives** ==== |
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| 167 | > Provides durable on-device state and local computation (event sourcing, materialization, compaction). Enables offline-first writes and deterministic replay. | ||
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16.1 | 169 | * //How do nodes persist, index, and process data locally—without external servers?// |
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15.1 | 170 | * Examples: RocksDB, LevelDB, SQLite, LMDB, local WALs/append-only logs, embedded stream processors (NATS Core JetStream mode, Actyx-like edge runtimes), Kafka-like libraries |
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15.1 | 174 | ==== **15. Crash Resilience & Abortability** ==== |
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| 176 | > Ensures P2P apps don’t corrupt state on crashes. Tied to **local storage & stream-processing**, and critical in offline-first and distributed update pipelines. Abortability is the updated term for Atomicity as part of the ACID abbreviation. | ||
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16.1 | 178 | * //How do nodes recover and maintain correctness under failure?// |
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15.1 | 179 | * Examples: WALs, idempotent ops, partial log replay, transactional journaling, write fences |
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11.1 | 184 | == Distributed Network Types == |
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| 187 | [[Flowchart depicting distributed network variants, under development. Building on work from Z. Elfen, 2024: ~[~[https:~~~~/~~~~/doi.org/10.17613/naj7d-6g984~>~>https://doi.org/10.17613/naj7d-6g984~]~]>>image:P4P_Typology.png||alt="Flowchart depicting typologies of distributed networks, such as Friend-2-Friend, Grassroots Networks, Federated Networks, Local-First, P2P and P4P Networks" data-xwiki-image-style-alignment="center" height="649" width="639"]] | ||
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35.1 | 189 | == == |
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35.1 | 191 | == Overview of P4P Networks == |
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| 193 | {{include reference="Projects.WebHome"/}} | ||
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24.1 | 194 | ))) |
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36.1 | 202 | ~)~)~) |