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Changes for page Networks

Last modified by Zenna Elfen on 2026/01/05 21:51
From version 32.1
edited by Zenna Elfen
on 2026/01/05 19:48
Change comment: There is no comment for this version
To version 13.1
edited by Zenna Elfen
on 2025/11/24 11:47
Change comment: There is no comment for this version

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