| 1. | |
Lecture 1 | Course introduction |  |
| 2. | |
Lecture 2 | Course introduction | |
| 3. | |
Lecture 3 | Web architecture (clients, proxies, servers, web caches) | |
| 4. | |
Lecture 4 | Web architecture (clients, proxies, servers, web caches) | |
| 5. | |
Lecture 5 | CDNs, overlays, P2P | |
| 6. | |
Lecture 6 | CDNs, overlays, P2P | |
| 7. | |
Lecture 7 | Introduction to cloud computing services | |
| 8. | |
Lecture 8 | Modern distributed systems | |
| 9. | |
Lecture 9 | Modern distributed systems | |
| 10. | |
Lecture 10 | MapReduce Online | |
| 11. | |
Lecture 11 | Fast Personalized PageRank on MapReduce | |
| 12. | |
Lecture 12 | The comparison between Mapreduce and Mapreduce Online | |
| 13. | |
Lecture 13 | CrowdDB : Answering Queries with Crowdsourcing | |
| 14. | |
Lecture 14 | Dynamo : Amazons Highly Available Key-value Store | |
| 15. | |
Lecture 15 | Windows Azure Storage-A Highly Available Cloud Storage Service with Strong Consistency | |
| 16. | |
Lecture 16 | Pregel : A system for large-scale gragh processing | |
| 17. | |
Lecture 17 | Pegasus : A Peta-Scale Graph Mining System Implementation and Observations | |
| 18. | |
Lecture 18 | The Little Engine(s) that could Scaling Online Social Network | |
| 19. | |
Lecture 19 | Green technology | |
| 20. | |
Lecture 20 | Improving Per-Node Efficiency in the Datacenter with New OS Abstractions | |
| 21. | |
Lecture 21 | Detecting and Defending Against Third-Party Tracking on the Web | |
| 22. | |
Lecture 22 | Aiding the Detection of Fake Accounts in large scale social online service | |
| 23. | |
Lecture 23 | Serf and Turf : Crowdturfing for Fun and Profit | |
| 24. | |
Lecture 24 | Augmenting Data Center Networks with Multi-Gigabit Wireless Links | |
| 25. | |
Lecture 25 | Networking Named Content | |
| 26. | |
Lecture 26 | Accountable Internet Protocol(AIP) | |
| 27. | |
Lecture 27 | XIA : Efficient Support for Evolvable Internetworking | |
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