Beginner Topic 3 of 51 Distributed Systems & Cloud
Peer-to-Peer Systems
Networks where nodes act as both clients and servers.
How it works
In peer-to-peer systems, every node acts as both client and server, sharing resources such as files, bandwidth or computing power directly with others without a central coordinator. Unstructured networks like early Gnutella flood queries, while structured ones use distributed hash tables such as Chord and Kademlia to route lookups in logarithmic hops. They scale as participants join, resist single points of failure and spread costs, but face churn as peers come and go.
Where it is used
File sharing with BitTorrent, blockchain networks, decentralized storage like IPFS, video calls using WebRTC and some content distribution and messaging systems use peer-to-peer designs.
Common pitfall
Discovery, NAT traversal, trust and security are hard: malicious peers can poison data or run Sybil attacks. Free riders consume without contributing, and performance varies widely. Consistency and search are harder without a central index. Use incentives, replication, verification by hashes and signatures and bootstrap nodes.
Where it fits in the course
Peer-to-Peer Systems is topic 3 of 51 in Distributed Systems & Cloud, rated Beginner. It follows Client-Server Model. The next topic is Scalability.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Distributed Systems & Cloud quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Distributed Systems & Cloud quiz, and revisit the topic if you miss a question.
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Related topics
- Client-Server Model (Distributed Systems & Cloud)
- Scalability (Distributed Systems & Cloud)
- What is a Distributed System (Distributed Systems & Cloud)
- Vertical vs Horizontal Scaling (Distributed Systems & Cloud)
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- Coordinate Systems (Graphics, Vision & Media)
- Recommender Systems (Emerging & Frontier Topics)