Changes for page Networks
Last modified by Zenna Elfen on 2026/01/05 21:51
From version 12.1
edited by Zenna Elfen
on 2025/11/24 11:46
on 2025/11/24 11:46
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To version 50.1
edited by Zenna Elfen
on 2026/01/05 20:18
on 2026/01/05 20:18
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... ... @@ -1,32 +1,173 @@ 1 -(% class="box" %) 1 + 2 + 2 2 ((( 3 - ThispagecontainsanoverviewofallP4P Networksin this wiki and their building blocks.4 +== 15 Building Blocks of P4P Networks == 4 4 5 - Youcan also [[adda P4PNetwork>>doc:Projects.WebHome]]orhavealookatthe[[P4P Applications>>doc:P4P.Applications.WebHome]].6 +To fully assemble a P4P network one needs a few different building blocks, below is an overview of 15 of those building blocks. 6 6 ))) 7 7 8 8 9 9 10 10 12 +(% class="row" %) 13 +((( 14 +(% class="col-xs-12 col-sm-8" %) 15 +((( 16 + 11 11 18 +==== **1. Data Synchronization** ==== 12 12 13 - ==BuildingBlocksofP4PNetworks==20 +> 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. 14 14 22 +* //How do peers detect differences and synchronize state?// 23 +* Examples: Range-Based Set Reconciliation, RIBLT, Gossip-based sync, State-based vs op-based sync, Lamport/Vector/HLC clocks, Braid Protocol 15 15 16 -(% class="box" %) 17 -((( 18 -Lost in translation? Take a look at the [[terminology>>doc:P4P.Definitions.WebHome]]. 19 -))) 20 20 21 -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. 22 22 27 +==== **2. Collaborative Data Structures & Conflict Resolution** ==== 23 23 29 +> 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. 24 24 31 +* //How do peers collaboratively change shared data and merge conflicts?// 32 +* Examples: CRDTs (Yjs, Automerge), OT, Event Sourcing, Stream Processing, Version Vectors, Peritext 25 25 26 26 27 27 36 +==== **3. Data Storage & Replication** ==== 28 28 38 +> 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. 29 29 40 +* //How is data persisted locally and replicated between peers?// 41 +* Examples: SQLite, IndexedDB, LMDB, Hypercore (append-only logs), WALs, Merkle-DAGs (IPFS/IPLD), Blob/media storage 42 + 43 + 44 + 45 +==== **4. Peer & Content Discovery** ==== 46 + 47 +> Discovery occurs in two phases: 48 +> 1. **Peer Discovery** → finding _any_ nodes 49 +> 2. **Topic Discovery** → finding _relevant_ nodes or resources 50 +> These mechanisms enable decentralized bootstrapping and interest-based overlays. 51 + 52 +* //How do peers find each other, and how do they discover content in the network?// 53 +* Examples: DHTs (Kademlia, Pastry), mDNS, DNS-SD, Bluetooth scanning, QR bootstrapping, static peer lists, Interest-based routing, PubSub discovery (libp2p), Rendezvous protocols 54 + 55 + 56 + 57 +==== **5. Identity & Trust** ==== 58 + 59 +> Identity systems ensure reliable mapping between peers and cryptographic keys. They underpin authorization, federated trust, and secure overlays. 60 + 61 +* //How peers identify themselves, authenticate, and establish trustworthy relationships?// 62 +* Examples: PKI, Distributed Identities (DIDs), Web-of-Trust, TOFU (SSH-style), Verifiable Credentials (VCs), Peer key fingerprints (libp2p PeerIDs), Key transparency logs 63 + 64 + 65 + 66 +==== **6. Transport Layer** ==== 67 + 68 +> This layer provides logical connections and flow control. QUIC and WebRTC bring modern congestion control and encryption defaults; Interpeer explores transport beyond IP assumptions. 69 + 70 +* //How do peers establish end-to-end byte streams and reliable delivery?// 71 +* Examples: TCP, UDP, QUIC, SCTP, WebRTC DataChannels, Interpeer transport stack 72 + 73 + 74 + 75 +==== **7. Underlying Transport (Physical/Link Layer)** ==== 76 + 77 +> Highly relevant for **offline-first / edge networks**, device-to-device communication, and mesh networks and relates to the hardware which facilitates connections. 78 + 79 +* //How does data move across the medium?// 80 +* Examples: Ethernet, Wi-Fi Direct / Wi-Fi Aware (post-AWDL), Bluetooth Mesh, LoRa, NFC, Cellular, CSMA/CA, TDMA, FHSS 81 + 82 + 83 + 84 +==== **8. Session & Connection Management** ==== 85 + 86 +> Manages **connection lifecycle**, including authentication handshakes, reconnection after drops, and session continuation—especially important in lossy or mobile networks. 87 + 88 +* //How are connections initiated, authenticated, resumed, and kept alive?// 89 +* Examples: TLS handshake semantics, Noise IK/XX patterns, session tokens, keep-alive heartbeats, reconnection strategies, session resumption tickets 90 + 91 + 92 + 93 +==== **9. Content Addressing** ==== 94 + 95 +> Content addressing ensures **immutability, verifiability, and deduplication**. Identity of data = cryptographic hash, enabling offline-first and tamper-evident systems. 96 + 97 +* //How is data addressed and verified by content, not location?// 98 +* Examples: IPFS CIDs, BitTorrent infohashes, Git hashes, SHA-256 addressing, Named Data Networking (NDN) 99 + 100 + 101 + 102 +==== **10. P2P Connectivity** ==== 103 + 104 +> Connectivity ensures peers bypass NATs/firewalls to reach each other. 105 + 106 +* //How can two peers connect directly across networks, firewalls, and NATs?// 107 +* Examples: IPv6 direct, NAT Traversal, STUN, TURN, ICE (used in WebRTC), UDP hole punching, UPnP 108 + 109 + 110 + 111 +==== **11. Session & Connection Management** ==== 112 + 113 +> Manages **connection lifecycle**, including authentication handshakes, reconnection after drops, and session continuation. 114 + 115 +* //How are connections initiated, authenticated, resumed, and kept alive?// 116 +* Examples: TLS handshake semantics, Noise IK/XX patterns, session tokens, keep-alive heartbeats, reconnection strategies, session resumption tickets 117 + 118 + 119 + 120 +==== **12. Message Format & Serialization** ==== 121 + 122 +> Serialization ensures **portable data representation**, forward-compatible schemas, and efficient messaging. IPLD provides content-addressed structuring for P2P graph data. 123 + 124 +* //How is data encoded, structured, and made interoperable between peers?// 125 +* Examples: CBOR, Protocol Buffers, Cap’n Proto, JSON, ASN.1, IPLD schemas, Flatbuffers 126 + 127 + 128 + 129 +==== **13. File / Blob Synchronization** ==== 130 + 131 +> 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. 132 + 133 +//How are large objects transferred and deduplicated efficiently across peers?// 134 +Examples: BitTorrent chunking, IPFS block-store, NDN segments, rsync-style delta sync, ZFS send-receive, streaming blob transfers 135 + 136 + 137 +==== **14. Local Storage & Processing Primitives** ==== 138 + 139 +> Provides durable on-device state and local computation (event sourcing, materialization, compaction). Enables offline-first writes and deterministic replay. 140 + 141 +* //How do nodes persist, index, and process data locally—without external servers?// 142 +* Examples: RocksDB, LevelDB, SQLite, LMDB, local WALs/append-only logs, embedded stream processors (NATS Core JetStream mode, Actyx-like edge runtimes), Kafka-like libraries 143 + 144 + 145 + 146 +==== **15. Crash Resilience & Abortability** ==== 147 + 148 +> 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. 149 + 150 +* //How do nodes recover and maintain correctness under failure?// 151 +* Examples: WALs, idempotent ops, partial log replay, transactional journaling, write fences 152 + 153 + 154 + 155 + 156 +))) 157 + 158 + 159 + 160 + 161 +(% class="col-xs-12 col-sm-4" %) 162 +((( 163 +{{box title=" **Contents**"}} 164 +{{toc depth="5"/}} 165 +{{/box}} 166 +))) 167 + 168 + 169 +(% class="col-xs-12 col-sm-12" %) 170 +((( 30 30 == Distributed Network Types == 31 31 32 32 ... ... @@ -37,3 +37,12 @@ 37 37 == Overview of P4P Networks == 38 38 39 39 {{include reference="Projects.WebHome"/}} 181 +))) 182 + 183 + 184 + 185 + 186 + 187 + 188 + 189 +)))