Wiki source code of Networks
Last modified by Zenna Elfen on 2025/11/24 12:07
Show last authors
| author | version | line-number | content |
|---|---|---|---|
| 1 | (% class="box" %) | ||
| 2 | ((( | ||
| 3 | This page contains an overview of all P4P Networks in this wiki and their building blocks. | ||
| 4 | |||
| 5 | You can also [[add a P4P Network>>doc:Projects.WebHome]] or have a look at the [[P4P Applications>>doc:P4P.Applications.WebHome]]. | ||
| 6 | ))) | ||
| 7 | |||
| 8 | {{toc/}} | ||
| 9 | |||
| 10 | |||
| 11 | == Building Blocks of P4P Networks == | ||
| 12 | |||
| 13 | |||
| 14 | (% class="box" %) | ||
| 15 | ((( | ||
| 16 | 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]]. | ||
| 17 | ))) | ||
| 18 | |||
| 19 | |||
| 20 | ==== **1. Data Synchronization** ==== | ||
| 21 | |||
| 22 | > 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. | ||
| 23 | |||
| 24 | * //How do peers detect differences and synchronize state?// | ||
| 25 | * Examples: Range-Based Set Reconciliation, RIBLT, Gossip-based sync, State-based vs op-based sync, Lamport/Vector/HLC clocks, Braid Protocol | ||
| 26 | |||
| 27 | |||
| 28 | |||
| 29 | ==== **2. Collaborative Data Structures & Conflict Resolution** ==== | ||
| 30 | |||
| 31 | > 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. | ||
| 32 | |||
| 33 | * //How do peers collaboratively change shared data and merge conflicts?// | ||
| 34 | * Examples: CRDTs (Yjs, Automerge), OT, Event Sourcing, Stream Processing, Version Vectors, Peritext | ||
| 35 | |||
| 36 | |||
| 37 | |||
| 38 | ==== **3. Data Storage & Replication** ==== | ||
| 39 | |||
| 40 | > 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. | ||
| 41 | |||
| 42 | * //How is data persisted locally and replicated between peers?// | ||
| 43 | * Examples: SQLite, IndexedDB, LMDB, Hypercore (append-only logs), WALs, Merkle-DAGs (IPFS/IPLD), Blob/media storage | ||
| 44 | |||
| 45 | |||
| 46 | |||
| 47 | ==== **4. Peer & Content Discovery** ==== | ||
| 48 | |||
| 49 | > Discovery occurs in two phases: | ||
| 50 | > 1. **Peer Discovery** → finding _any_ nodes | ||
| 51 | > 2. **Topic Discovery** → finding _relevant_ nodes or resources | ||
| 52 | > These mechanisms enable decentralized bootstrapping and interest-based overlays. | ||
| 53 | |||
| 54 | * //How do peers find each other, and how do they discover content in the network?// | ||
| 55 | * Examples: DHTs (Kademlia, Pastry), mDNS, DNS-SD, Bluetooth scanning, QR bootstrapping, static peer lists, Interest-based routing, PubSub discovery (libp2p), Rendezvous protocols | ||
| 56 | |||
| 57 | |||
| 58 | |||
| 59 | ==== **5. Identity & Trust** ==== | ||
| 60 | |||
| 61 | > Identity systems ensure reliable mapping between peers and cryptographic keys. They underpin authorization, federated trust, and secure overlays. | ||
| 62 | |||
| 63 | * //How peers identify themselves, authenticate, and establish trustworthy relationships?// | ||
| 64 | * Examples: PKI, Distributed Identities (DIDs), Web-of-Trust, TOFU (SSH-style), Verifiable Credentials (VCs), Peer key fingerprints (libp2p PeerIDs), Key transparency logs | ||
| 65 | |||
| 66 | |||
| 67 | |||
| 68 | ==== **6. Transport Layer** ==== | ||
| 69 | |||
| 70 | > This layer provides logical connections and flow control. QUIC and WebRTC bring modern congestion control and encryption defaults; Interpeer explores transport beyond IP assumptions. | ||
| 71 | |||
| 72 | * //How do peers establish end-to-end byte streams and reliable delivery?// | ||
| 73 | * Examples: TCP, UDP, QUIC, SCTP, WebRTC DataChannels, Interpeer transport stack | ||
| 74 | |||
| 75 | |||
| 76 | |||
| 77 | ==== **7. Underlying Transport (Physical/Link Layer)** ==== | ||
| 78 | |||
| 79 | > Highly relevant for **offline-first / edge networks**, device-to-device communication, and mesh networks and relates to the hardware which facilitates connections. | ||
| 80 | |||
| 81 | * //How does data move across the medium?// | ||
| 82 | * Examples: Ethernet, Wi-Fi Direct / Wi-Fi Aware (post-AWDL), Bluetooth Mesh, LoRa, NFC, Cellular, CSMA/CA, TDMA, FHSS | ||
| 83 | |||
| 84 | |||
| 85 | |||
| 86 | ==== **8. Session & Connection Management** ==== | ||
| 87 | |||
| 88 | > Manages **connection lifecycle**, including authentication handshakes, reconnection after drops, and session continuation—especially important in lossy or mobile networks. | ||
| 89 | |||
| 90 | * //How are connections initiated, authenticated, resumed, and kept alive?// | ||
| 91 | * Examples: TLS handshake semantics, Noise IK/XX patterns, session tokens, keep-alive heartbeats, reconnection strategies, session resumption tickets | ||
| 92 | |||
| 93 | |||
| 94 | |||
| 95 | ==== **9. Content Addressing** ==== | ||
| 96 | |||
| 97 | > Content addressing ensures **immutability, verifiability, and deduplication**. Identity of data = cryptographic hash, enabling offline-first and tamper-evident systems. | ||
| 98 | |||
| 99 | * //How is data addressed and verified by content, not location?// | ||
| 100 | * Examples: IPFS CIDs, BitTorrent infohashes, Git hashes, SHA-256 addressing, Named Data Networking (NDN) | ||
| 101 | |||
| 102 | |||
| 103 | |||
| 104 | ==== **10. P2P Connectivity** ==== | ||
| 105 | |||
| 106 | > Connectivity ensures peers bypass NATs/firewalls to reach each other. | ||
| 107 | |||
| 108 | * //How can two peers connect directly across networks, firewalls, and NATs?// | ||
| 109 | * Examples: IPv6 direct, NAT Traversal, STUN, TURN, ICE (used in WebRTC), UDP hole punching, UPnP | ||
| 110 | |||
| 111 | |||
| 112 | |||
| 113 | ==== **11. Session & Connection Management** ==== | ||
| 114 | |||
| 115 | > Manages **connection lifecycle**, including authentication handshakes, reconnection after drops, and session continuation. | ||
| 116 | |||
| 117 | * //How are connections initiated, authenticated, resumed, and kept alive?// | ||
| 118 | * Examples: TLS handshake semantics, Noise IK/XX patterns, session tokens, keep-alive heartbeats, reconnection strategies, session resumption tickets | ||
| 119 | |||
| 120 | |||
| 121 | |||
| 122 | ==== **12. Message Format & Serialization** ==== | ||
| 123 | |||
| 124 | > Serialization ensures **portable data representation**, forward-compatible schemas, and efficient messaging. IPLD provides content-addressed structuring for P2P graph data. | ||
| 125 | |||
| 126 | * //How is data encoded, structured, and made interoperable between peers?// | ||
| 127 | * Examples: CBOR, Protocol Buffers, Cap’n Proto, JSON, ASN.1, IPLD schemas, Flatbuffers | ||
| 128 | |||
| 129 | |||
| 130 | |||
| 131 | ==== **13. File / Blob Synchronization** ==== | ||
| 132 | |||
| 133 | > 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. | ||
| 134 | |||
| 135 | //How are large objects transferred and deduplicated efficiently across peers?// | ||
| 136 | Examples: BitTorrent chunking, IPFS block-store, NDN segments, rsync-style delta sync, ZFS send-receive, streaming blob transfers | ||
| 137 | |||
| 138 | |||
| 139 | ==== **14. Local Storage & Processing Primitives** ==== | ||
| 140 | |||
| 141 | > Provides durable on-device state and local computation (event sourcing, materialization, compaction). Enables offline-first writes and deterministic replay. | ||
| 142 | |||
| 143 | * //How do nodes persist, index, and process data locally—without external servers?// | ||
| 144 | * Examples: RocksDB, LevelDB, SQLite, LMDB, local WALs/append-only logs, embedded stream processors (NATS Core JetStream mode, Actyx-like edge runtimes), Kafka-like libraries | ||
| 145 | |||
| 146 | |||
| 147 | |||
| 148 | ==== **15. Crash Resilience & Abortability** ==== | ||
| 149 | |||
| 150 | > 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. | ||
| 151 | |||
| 152 | * //How do nodes recover and maintain correctness under failure?// | ||
| 153 | * Examples: WALs, idempotent ops, partial log replay, transactional journaling, write fences | ||
| 154 | |||
| 155 | |||
| 156 | |||
| 157 | |||
| 158 | == Distributed Network Types == | ||
| 159 | |||
| 160 | |||
| 161 | [[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"]] | ||
| 162 | |||
| 163 | |||
| 164 | |||
| 165 | == Overview of P4P Networks == | ||
| 166 | |||
| 167 | {{include reference="Projects.WebHome"/}} |