This document provides an overview of cloud computing, including its evolution, key characteristics, how to develop cloud applications using frameworks like MapReduce and Hadoop, and who might need cloud computing services. It discusses how cloud computing provides on-demand access to computing resources and data from any device, and how developers' key technical concern is services and data accessible over the internet. It also gives examples of major cloud computing providers like Amazon Web Services, Microsoft Azure, and Google App Engine.

1. Taste Java in the Clouds 朱仲傑 Jacky Chu

3. Evolution of Computing with the Network

4. Internet Services around the World

7. The Key Technical Issue for Developers is …

8. Cloud vs. Grid Cloud Computing Grid Computing Leading Service Provider Academic Circles Standard No Yes Open Source Partial Fully Hardware PC Heterogeneous Characteristic Small data for each process A large number of repeat process Huge data for once process

9. Cloud Computing in the World

10. How to Develop a Cloud Application

11. MapReduce http://www.gridgainsystems.com/wiki/display/GG15UG/MapReduce+Overview Storage Database

12. MapReduce Map Reduce Data (Key1, Value) (Key2, Value) … (Key n, Value) (Key1, Value) (Key3, Value) … (Key m, Value) (Key2, Value) (Key3, Value) … (Key n, Value) (Key1, Value) (Key2, Value) (Key3, Value) … (Key m, Value) (Key n, Value)

13. Hadoop History Doug Cutting

14. Hadoop Overview HDFS

22. DEMO

24. The Key is …