Changes for page Networks
Last modified by Zenna Elfen on 2026/01/05 21:51
From version 50.1
edited by Zenna Elfen
on 2026/01/05 20:18
on 2026/01/05 20:18
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To version 13.1
edited by Zenna Elfen
on 2025/11/24 11:47
on 2025/11/24 11:47
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... ... @@ -1,173 +1,82 @@ 1 - 2 - 1 +(% class="box" %) 3 3 ((( 4 - ==15BuildingBlocksof P4P Networks==3 +This page contains an overview of all P4P Networks in this wiki and their building blocks. 5 5 6 - Tofullyassemblea P4Pnetworkone needs a few different building blocks,belowisan overviewof15ofthosebuilding blocks.5 +You can also [[add a P4P Network>>doc:Projects.WebHome]] or have a look at the [[P4P Applications>>doc:P4P.Applications.WebHome]]. 7 7 ))) 8 8 9 9 10 10 11 11 12 -(% class="row" %) 11 + 12 + 13 + 14 + 15 +== Building Blocks of P4P Networks == 16 + 17 + 18 +(% class="box" %) 13 13 ((( 14 -(% class="col-xs-12 col-sm-8" %) 15 -((( 16 - 20 +Lost in translation? Take a look at the [[terminology>>doc:P4P.Definitions.WebHome]]. 21 +))) 17 17 18 - ====**1.DataSynchronization**====23 +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. 19 19 25 + 26 +##### 9. **Data Synchronization** 27 + 20 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. 21 21 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 Protocol30 +- _How do peers detect differences and synchronize state?_ 31 +- Examples: Range-Based Set Reconciliation, RIBLT, Gossip-based sync, State-based vs op-based sync, Lamport/Vector/HLC clocks, Braid Protocol 24 24 33 +*Relevant links or documentation:* 25 25 26 26 27 - ====**2. Collaborative Data Structures & Conflict Resolution**====36 +##### 10. **Collaborative Data Structures & Conflict Resolution** 28 28 29 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. 30 30 31 - *//How do peers collaboratively change shared data and merge conflicts?//32 - *Examples: CRDTs (Yjs, Automerge), OT, Event Sourcing, Stream Processing, Version Vectors, Peritext40 +- _How do peers collaboratively change shared data and merge conflicts?_ 41 +- Examples: CRDTs (Yjs, Automerge), OT, Event Sourcing, Stream Processing, Version Vectors, Peritext 33 33 43 +*Relevant links or documentation:* 34 34 35 35 36 - ====**3. Data Storage & Replication**====46 +##### 11. **Data Storage & Replication** 37 37 38 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. 39 39 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 storage50 +- _How is data persisted locally and replicated between peers?_ 51 +- Examples: SQLite, IndexedDB, LMDB, Hypercore (append-only logs), WALs, Merkle-DAGs (IPFS/IPLD), Blob/media storage 42 42 53 +*Relevant links or documentation:* 43 43 55 +##### 12. **Peer & Content Discovery** 44 44 45 -==== **4. Peer & Content Discovery** ==== 46 - 47 47 > Discovery occurs in two phases: 48 48 > 1. **Peer Discovery** → finding _any_ nodes 49 49 > 2. **Topic Discovery** → finding _relevant_ nodes or resources 50 50 > These mechanisms enable decentralized bootstrapping and interest-based overlays. 51 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 54 63 +- _How do peers find each other, and how do they discover content in the network?_ 64 +- Examples: DHTs (Kademlia, Pastry), mDNS, DNS-SD, Bluetooth scanning, QR bootstrapping, static peer lists, Interest-based routing, PubSub discovery (libp2p), Rendezvous protocols 55 55 66 +*Relevant links or documentation:* 56 56 57 - ====**5. Identity & Trust**====68 +##### 13. **Identity & Trust** 58 58 59 59 > Identity systems ensure reliable mapping between peers and cryptographic keys. They underpin authorization, federated trust, and secure overlays. 60 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 logs72 +- _How peers identify themselves, authenticate, and establish trustworthy relationships?_ 73 +- Examples: PKI, Distributed Identities (DIDs), Web-of-Trust, TOFU (SSH-style), Verifiable Credentials (VCs), Peer key fingerprints (libp2p PeerIDs), Key transparency logs 63 63 64 64 65 65 66 -==== **6. Transport Layer** ==== 67 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 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 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 -((( 171 171 == Distributed Network Types == 172 172 173 173 ... ... @@ -178,12 +178,3 @@ 178 178 == Overview of P4P Networks == 179 179 180 180 {{include reference="Projects.WebHome"/}} 181 -))) 182 - 183 - 184 - 185 - 186 - 187 - 188 - 189 -)))