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Last modified by Zenna Elfen on 2026/01/05 21:51
From version 7.1
edited by Zenna Elfen
on 2025/11/23 22:45
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To version 40.1
edited by Zenna Elfen
on 2026/01/05 19:55
Change comment: There is no comment for this version

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3 -This page contains an overview of all P4P Networks in this wiki. You can also [[add a P4P Network>>doc:Projects.WebHome]] or have a look at the [[P4P Applications>>doc:P4P.Applications.WebHome]].
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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.
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13 +== Building Blocks of P4P Networks ==
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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]].
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25 +{{box title="==== Contents ====
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27 +====== ======"}}
28 +{{toc depth="5"/}}
29 +{{/box}}
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36 +==== ====
18 18  
38 +==== **1. Data Synchronization** ====
39 +
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 +
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 Protocol
44 +
45 +
46 +
47 +==== **2. Collaborative Data Structures & Conflict Resolution** ====
48 +
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 +
51 +* //How do peers collaboratively change shared data and merge conflicts?//
52 +* Examples: CRDTs (Yjs, Automerge), OT, Event Sourcing, Stream Processing, Version Vectors, Peritext
53 +
54 +
55 +
56 +==== **3. Data Storage & Replication** ====
57 +
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 +
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 storage
62 +
63 +
64 +
65 +==== **4. Peer & Content Discovery** ====
66 +
67 +> Discovery occurs in two phases:
68 +> 1. **Peer Discovery** → finding _any_ nodes
69 +> 2. **Topic Discovery** → finding _relevant_ nodes or resources
70 +> These mechanisms enable decentralized bootstrapping and interest-based overlays.
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 +
75 +
76 +
77 +==== **5. Identity & Trust** ====
78 +
79 +> Identity systems ensure reliable mapping between peers and cryptographic keys. They underpin authorization, federated trust, and secure overlays.
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 logs
83 +
84 +
85 +
86 +==== **6. Transport Layer** ====
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 +
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 +
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 +
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174 +
175 +
176 +== Distributed Network Types ==
177 +
178 +
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 +
181 +== ==
182 +
183 +== Overview of P4P Networks ==
184 +
19 19  {{include reference="Projects.WebHome"/}}
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194 +~)~)~)
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