Changes for page Networks
Last modified by Zenna Elfen on 2026/01/05 21:51
From version 40.1
edited by Zenna Elfen
on 2026/01/05 19:55
on 2026/01/05 19:55
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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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... ... @@ -1,19 +1,11 @@ 1 -(% class=" jumbotron" %)1 +(% class="box" %) 2 2 ((( 3 -(% class="container" %) 4 -((( 5 -= Peer-for-Peer Networks = 3 +This page contains an overview of all P4P Networks in this wiki and their building blocks. 6 6 7 - P4P, shortfor Peer-4-Peer (which inturn isshortforPeer-for-Peer)area family of networks which buildon principles of local-first, peer-2-peer,open-source, routing agnostic (offline-first) and mutual-aid principles.Theaboveis a lot of termswhich inand of themselvescarryalotofmeaning, yetwhen combinedtheyenablecensorship-resistant, resilient andadaptive, sustainable and energy-efficient communicationinfrastructures.5 +You can also [[add a P4P Network>>doc:Projects.WebHome]] or have a look at the [[P4P Applications>>doc:P4P.Applications.WebHome]]. 8 8 ))) 9 -))) 10 10 11 -(% class="col-xs-12 col-sm-6" %) 12 -((( 13 -== Building Blocks of P4P Networks == 14 14 15 -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]]. 16 -))) 17 17 18 18 19 19 ... ... @@ -20,175 +20,80 @@ 20 20 21 21 22 22 23 -(% class="col-xs-12 col-sm-6" %) 24 -((( 25 -{{box title="==== Contents ==== 26 26 27 -====== ======"}} 28 -{{toc depth="5"/}} 29 -{{/box}} 30 -))) 31 31 17 +== Building Blocks of P4P Networks == 32 32 33 33 34 - 20 +(% class="box" %) 35 35 ((( 36 -==== ==== 22 +Lost in translation? Take a look at the [[terminology>>doc:P4P.Definitions.WebHome]]. 23 +))) 37 37 38 - ====**1.DataSynchronization**====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. 39 39 27 + 28 +==== **Data Synchronization** ==== 29 + 40 40 > 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. 41 41 42 - *//How do peers detect differences and synchronize state?//43 - *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 44 44 35 +*Relevant links or documentation:* 45 45 46 46 47 -==== ** 2.Collaborative Data Structures & Conflict Resolution** ====38 +==== **Collaborative Data Structures & Conflict Resolution** ==== 48 48 49 49 > 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. 50 50 51 - *//How do peers collaboratively change shared data and merge conflicts?//52 - *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 53 53 45 +*Relevant links or documentation:* 54 54 55 55 56 -==== ** 3.Data Storage & Replication** ====48 +==== **Data Storage & Replication** ==== 57 57 58 58 > 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. 59 59 60 - *//How is data persisted locally and replicated between peers?//61 - *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 62 62 55 +*Relevant links or documentation:* 63 63 57 +==== **Peer & Content Discovery** ==== 64 64 65 -==== **4. Peer & Content Discovery** ==== 66 - 67 67 > Discovery occurs in two phases: 68 68 > 1. **Peer Discovery** → finding _any_ nodes 69 69 > 2. **Topic Discovery** → finding _relevant_ nodes or resources 70 70 > These mechanisms enable decentralized bootstrapping and interest-based overlays. 71 71 72 -* //How do peers find each other, and how do they discover content in the network?// 73 -* Examples: DHTs (Kademlia, Pastry), mDNS, DNS-SD, Bluetooth scanning, QR bootstrapping, static peer lists, Interest-based routing, PubSub discovery (libp2p), Rendezvous protocols 74 74 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 75 75 68 +*Relevant links or documentation:* 76 76 77 - ====**5.Identity & Trust**====70 +# **Identity & Trust** 78 78 79 79 > Identity systems ensure reliable mapping between peers and cryptographic keys. They underpin authorization, federated trust, and secure overlays. 80 80 81 - *//How peers identify themselves, authenticate, and establish trustworthy relationships?//82 - *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 83 83 84 84 85 85 86 -==== **6. Transport Layer** ==== 87 87 88 -> This layer provides logical connections and flow control. QUIC and WebRTC bring modern congestion control and encryption defaults; Interpeer explores transport beyond IP assumptions. 89 89 90 -* //How do peers establish end-to-end byte streams and reliable delivery?// 91 -* Examples: TCP, UDP, QUIC, SCTP, WebRTC DataChannels, Interpeer transport stack 92 92 93 - 94 - 95 -==== **7. Underlying Transport (Physical/Link Layer)** ==== 96 - 97 -> Highly relevant for **offline-first / edge networks**, device-to-device communication, and mesh networks and relates to the hardware which facilitates connections. 98 - 99 -* //How does data move across the medium?// 100 -* Examples: Ethernet, Wi-Fi Direct / Wi-Fi Aware (post-AWDL), Bluetooth Mesh, LoRa, NFC, Cellular, CSMA/CA, TDMA, FHSS 101 - 102 - 103 - 104 -==== **8. Session & Connection Management** ==== 105 - 106 -> Manages **connection lifecycle**, including authentication handshakes, reconnection after drops, and session continuation—especially important in lossy or mobile networks. 107 - 108 -* //How are connections initiated, authenticated, resumed, and kept alive?// 109 -* Examples: TLS handshake semantics, Noise IK/XX patterns, session tokens, keep-alive heartbeats, reconnection strategies, session resumption tickets 110 - 111 - 112 - 113 -==== **9. Content Addressing** ==== 114 - 115 -> Content addressing ensures **immutability, verifiability, and deduplication**. Identity of data = cryptographic hash, enabling offline-first and tamper-evident systems. 116 - 117 -* //How is data addressed and verified by content, not location?// 118 -* Examples: IPFS CIDs, BitTorrent infohashes, Git hashes, SHA-256 addressing, Named Data Networking (NDN) 119 - 120 - 121 - 122 -==== **10. P2P Connectivity** ==== 123 - 124 -> Connectivity ensures peers bypass NATs/firewalls to reach each other. 125 - 126 -* //How can two peers connect directly across networks, firewalls, and NATs?// 127 -* Examples: IPv6 direct, NAT Traversal, STUN, TURN, ICE (used in WebRTC), UDP hole punching, UPnP 128 - 129 - 130 - 131 -==== **11. Session & Connection Management** ==== 132 - 133 -> Manages **connection lifecycle**, including authentication handshakes, reconnection after drops, and session continuation. 134 - 135 -* //How are connections initiated, authenticated, resumed, and kept alive?// 136 -* Examples: TLS handshake semantics, Noise IK/XX patterns, session tokens, keep-alive heartbeats, reconnection strategies, session resumption tickets 137 - 138 - 139 - 140 -==== **12. Message Format & Serialization** ==== 141 - 142 -> Serialization ensures **portable data representation**, forward-compatible schemas, and efficient messaging. IPLD provides content-addressed structuring for P2P graph data. 143 - 144 -* //How is data encoded, structured, and made interoperable between peers?// 145 -* Examples: CBOR, Protocol Buffers, Cap’n Proto, JSON, ASN.1, IPLD schemas, Flatbuffers 146 - 147 - 148 - 149 -==== **13. File / Blob Synchronization** ==== 150 - 151 -> 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. 152 - 153 -//How are large objects transferred and deduplicated efficiently across peers?// 154 -Examples: BitTorrent chunking, IPFS block-store, NDN segments, rsync-style delta sync, ZFS send-receive, streaming blob transfers 155 - 156 - 157 -==== **14. Local Storage & Processing Primitives** ==== 158 - 159 -> Provides durable on-device state and local computation (event sourcing, materialization, compaction). Enables offline-first writes and deterministic replay. 160 - 161 -* //How do nodes persist, index, and process data locally—without external servers?// 162 -* Examples: RocksDB, LevelDB, SQLite, LMDB, local WALs/append-only logs, embedded stream processors (NATS Core JetStream mode, Actyx-like edge runtimes), Kafka-like libraries 163 - 164 - 165 - 166 -==== **15. Crash Resilience & Abortability** ==== 167 - 168 -> 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. 169 - 170 -* //How do nodes recover and maintain correctness under failure?// 171 -* Examples: WALs, idempotent ops, partial log replay, transactional journaling, write fences 172 - 173 - 174 - 175 - 176 176 == Distributed Network Types == 177 177 178 178 179 179 [[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"]] 180 180 181 -== == 182 182 88 + 183 183 == Overview of P4P Networks == 184 184 185 185 {{include reference="Projects.WebHome"/}} 186 -))) 187 - 188 - 189 - 190 - 191 - 192 - 193 - 194 -~)~)~)