Indice
Teacher: Laura Ricci, Emanuele Carlini
Note: This is a temporary page: the course will be managed by the Moodle platform.
You can find all the materials of the course on the Moodle Site: https://elearning.di.unipi.it/course/view.php?id=64
The Moodle Site will contain slides of the lessons, assignments, discussions (forum)
Teacher: Laura Ricci, Emanuele Carlini
Please note the change of the rooms !
Timetable
| Day | Hour | Room |
|---|---|---|
| Wednesday | 9.00-11.00 | L1 |
| Friday | 16.00-18.00 | B |
New (Tentative) Program of the Course
- Introduction: P2P and Big Data as Complex Networks
- P2P Systems: Content Search and Distribution
- Unstructured Overlays: Flooding, Random Walks
- Structured Overlays: Distributed Hash Tables (DHT)
- The Chord DHT: A Markov chain Model of Routing in Chord
- Case Studies:
- eMule: the KAD implementation of the Kademlia DHT
- Bittorrent: a Content Distribution Network, Game based Cooperation
- Bitcoin: Digital currency. Anonimicity in P2P networks
- Simulation Environments for P2P Systems: Peersim
- Models for P2P and Big Graphs:
- Random Graphs and Small Worlds
- Small world navigability: Watts Strogatz and Kleinberg Models
- Complex networks navigability: case studies
- The Darknet Freenet, a Small World Network
- Big Social Graphs: Geographical Routing
- Vertex Centric Approaches:
- P2P Asynchronous Models: Epidemic Approaches
- Gossip Based Algorithms
- Laboratory: Random Sampling, K-core,
- Global Models for Big Graph Computing: the Bulk Synchronous Computing Model
- Distributed Supports for Big Graphs Frameworks
- Facebook cloud: a DHT in the cloud
- Google's globally-distributed Database
- Distributed Supports for BSP models
Final Examination
Final Project or Written Examination
For any information, contact me at:
e-mail: [email protected]/[email protected] Skype: lauraemiliaricci Facebook: https://www.facebook.com/laura.emilia.ricci (ask me for friendship and send me a message)