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