Changes for page Networks
Last modified by Zenna Elfen on 2026/01/05 21:51
From version 25.1
edited by Zenna Elfen
on 2026/01/05 19:44
on 2026/01/05 19:44
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To version 14.1
edited by Zenna Elfen
on 2025/11/24 11:48
on 2025/11/24 11:48
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... ... @@ -1,13 +11,3 @@ 1 -(% class="jumbotron" %) 2 -((( 3 -(% class="container" %) 4 -((( 5 -= Peer-for-Peer Networks = 6 - 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. 8 -))) 9 -))) 10 - 11 11 (% class="box" %) 12 12 ((( 13 13 This page contains an overview of all P4P Networks in this wiki and their building blocks. ... ... @@ -18,159 +18,77 @@ 18 18 19 19 20 20 21 -((( 22 -{{toc/}} 23 -))) 24 24 25 -((( 26 26 13 + 14 + 15 + 16 + 27 27 == Building Blocks of P4P Networks == 28 28 29 29 30 30 (% class="box" %) 31 31 ((( 32 - 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]].22 +Lost in translation? Take a look at the [[terminology>>doc:P4P.Definitions.WebHome]]. 33 33 ))) 34 34 25 +To fully assemble a P4P network one needs a few different building blocks. The following is an overview of the building blocks needed for P4P networks. 35 35 36 -==== **1. Data Synchronization** ==== 37 37 28 +==== **Data Synchronization** ==== 29 + 38 38 > 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. 39 39 40 - *//How do peers detect differences and synchronize state?//41 - *Examples: Range-Based Set Reconciliation, RIBLT, Gossip-based sync, State-based vs op-based sync, Lamport/Vector/HLC clocks, Braid Protocol32 +- _How do peers detect differences and synchronize state?_ 33 +- Examples: Range-Based Set Reconciliation, RIBLT, Gossip-based sync, State-based vs op-based sync, Lamport/Vector/HLC clocks, Braid Protocol 42 42 35 +*Relevant links or documentation:* 43 43 44 44 45 -==== ** 2.Collaborative Data Structures & Conflict Resolution** ====38 +==== **Collaborative Data Structures & Conflict Resolution** ==== 46 46 47 47 > 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. 48 48 49 - *//How do peers collaboratively change shared data and merge conflicts?//50 - *Examples: CRDTs (Yjs, Automerge), OT, Event Sourcing, Stream Processing, Version Vectors, Peritext42 +- _How do peers collaboratively change shared data and merge conflicts?_ 43 +- Examples: CRDTs (Yjs, Automerge), OT, Event Sourcing, Stream Processing, Version Vectors, Peritext 51 51 45 +*Relevant links or documentation:* 52 52 53 53 54 -==== ** 3.Data Storage & Replication** ====48 +==== **Data Storage & Replication** ==== 55 55 56 56 > 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. 57 57 58 - *//How is data persisted locally and replicated between peers?//59 - *Examples: SQLite, IndexedDB, LMDB, Hypercore (append-only logs), WALs, Merkle-DAGs (IPFS/IPLD), Blob/media storage52 +- _How is data persisted locally and replicated between peers?_ 53 +- Examples: SQLite, IndexedDB, LMDB, Hypercore (append-only logs), WALs, Merkle-DAGs (IPFS/IPLD), Blob/media storage 60 60 55 +*Relevant links or documentation:* 61 61 57 +==== **Peer & Content Discovery** ==== 62 62 63 -==== **4. Peer & Content Discovery** ==== 64 - 65 65 > Discovery occurs in two phases: 66 66 > 1. **Peer Discovery** → finding _any_ nodes 67 67 > 2. **Topic Discovery** → finding _relevant_ nodes or resources 68 68 > These mechanisms enable decentralized bootstrapping and interest-based overlays. 69 69 70 -* //How do peers find each other, and how do they discover content in the network?// 71 -* Examples: DHTs (Kademlia, Pastry), mDNS, DNS-SD, Bluetooth scanning, QR bootstrapping, static peer lists, Interest-based routing, PubSub discovery (libp2p), Rendezvous protocols 72 72 65 +- _How do peers find each other, and how do they discover content in the network?_ 66 +- Examples: DHTs (Kademlia, Pastry), mDNS, DNS-SD, Bluetooth scanning, QR bootstrapping, static peer lists, Interest-based routing, PubSub discovery (libp2p), Rendezvous protocols 73 73 68 +*Relevant links or documentation:* 74 74 75 - ====**5.Identity & Trust**====70 +# **Identity & Trust** 76 76 77 77 > Identity systems ensure reliable mapping between peers and cryptographic keys. They underpin authorization, federated trust, and secure overlays. 78 78 79 - *//How peers identify themselves, authenticate, and establish trustworthy relationships?//80 - *Examples: PKI, Distributed Identities (DIDs), Web-of-Trust, TOFU (SSH-style), Verifiable Credentials (VCs), Peer key fingerprints (libp2p PeerIDs), Key transparency logs74 +- _How peers identify themselves, authenticate, and establish trustworthy relationships?_ 75 +- Examples: PKI, Distributed Identities (DIDs), Web-of-Trust, TOFU (SSH-style), Verifiable Credentials (VCs), Peer key fingerprints (libp2p PeerIDs), Key transparency logs 81 81 82 82 83 83 84 -==== **6. Transport Layer** ==== 85 85 86 -> This layer provides logical connections and flow control. QUIC and WebRTC bring modern congestion control and encryption defaults; Interpeer explores transport beyond IP assumptions. 87 87 88 -* //How do peers establish end-to-end byte streams and reliable delivery?// 89 -* Examples: TCP, UDP, QUIC, SCTP, WebRTC DataChannels, Interpeer transport stack 90 90 91 - 92 - 93 -==== **7. Underlying Transport (Physical/Link Layer)** ==== 94 - 95 -> Highly relevant for **offline-first / edge networks**, device-to-device communication, and mesh networks and relates to the hardware which facilitates connections. 96 - 97 -* //How does data move across the medium?// 98 -* Examples: Ethernet, Wi-Fi Direct / Wi-Fi Aware (post-AWDL), Bluetooth Mesh, LoRa, NFC, Cellular, CSMA/CA, TDMA, FHSS 99 - 100 - 101 - 102 -==== **8. Session & Connection Management** ==== 103 - 104 -> Manages **connection lifecycle**, including authentication handshakes, reconnection after drops, and session continuation—especially important in lossy or mobile networks. 105 - 106 -* //How are connections initiated, authenticated, resumed, and kept alive?// 107 -* Examples: TLS handshake semantics, Noise IK/XX patterns, session tokens, keep-alive heartbeats, reconnection strategies, session resumption tickets 108 - 109 - 110 - 111 -==== **9. Content Addressing** ==== 112 - 113 -> Content addressing ensures **immutability, verifiability, and deduplication**. Identity of data = cryptographic hash, enabling offline-first and tamper-evident systems. 114 - 115 -* //How is data addressed and verified by content, not location?// 116 -* Examples: IPFS CIDs, BitTorrent infohashes, Git hashes, SHA-256 addressing, Named Data Networking (NDN) 117 - 118 - 119 - 120 -==== **10. P2P Connectivity** ==== 121 - 122 -> Connectivity ensures peers bypass NATs/firewalls to reach each other. 123 - 124 -* //How can two peers connect directly across networks, firewalls, and NATs?// 125 -* Examples: IPv6 direct, NAT Traversal, STUN, TURN, ICE (used in WebRTC), UDP hole punching, UPnP 126 - 127 - 128 - 129 -==== **11. Session & Connection Management** ==== 130 - 131 -> Manages **connection lifecycle**, including authentication handshakes, reconnection after drops, and session continuation. 132 - 133 -* //How are connections initiated, authenticated, resumed, and kept alive?// 134 -* Examples: TLS handshake semantics, Noise IK/XX patterns, session tokens, keep-alive heartbeats, reconnection strategies, session resumption tickets 135 - 136 - 137 - 138 -==== **12. Message Format & Serialization** ==== 139 - 140 -> Serialization ensures **portable data representation**, forward-compatible schemas, and efficient messaging. IPLD provides content-addressed structuring for P2P graph data. 141 - 142 -* //How is data encoded, structured, and made interoperable between peers?// 143 -* Examples: CBOR, Protocol Buffers, Cap’n Proto, JSON, ASN.1, IPLD schemas, Flatbuffers 144 - 145 - 146 - 147 -==== **13. File / Blob Synchronization** ==== 148 - 149 -> 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. 150 - 151 -//How are large objects transferred and deduplicated efficiently across peers?// 152 -Examples: BitTorrent chunking, IPFS block-store, NDN segments, rsync-style delta sync, ZFS send-receive, streaming blob transfers 153 - 154 - 155 -==== **14. Local Storage & Processing Primitives** ==== 156 - 157 -> Provides durable on-device state and local computation (event sourcing, materialization, compaction). Enables offline-first writes and deterministic replay. 158 - 159 -* //How do nodes persist, index, and process data locally—without external servers?// 160 -* Examples: RocksDB, LevelDB, SQLite, LMDB, local WALs/append-only logs, embedded stream processors (NATS Core JetStream mode, Actyx-like edge runtimes), Kafka-like libraries 161 - 162 - 163 - 164 -==== **15. Crash Resilience & Abortability** ==== 165 - 166 -> 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. 167 - 168 -* //How do nodes recover and maintain correctness under failure?// 169 -* Examples: WALs, idempotent ops, partial log replay, transactional journaling, write fences 170 - 171 - 172 - 173 - 174 174 == Distributed Network Types == 175 175 176 176 ... ... @@ -177,24 +177,7 @@ 177 177 [[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"]] 178 178 179 179 180 - 181 -))) 182 182 183 - 184 -(% class="col-xs-12 col-sm-4" %) 185 -((( 186 -{{box title="==== Contents ==== 187 - 188 -====== ======"}} 189 -{{toc depth="3"/}} 190 -{{/box}} 191 -))) 192 - 193 - 194 -((( 195 195 == Overview of P4P Networks == 196 196 197 197 {{include reference="Projects.WebHome"/}} 198 -))) 199 - 200 -