1. Introduction to cloud computing Jiaheng Lu Department of Computer Science Renmin University of China www.jiahenglu.net

3. Why we use cloud computing?

4. What is cloud and cloud computing? Cloud computing is a style of computing in which dynamically scalable and often virtualized resources are provided as a serve over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure in the "cloud" that supports them.

5. Characteristics of cloud computing Virtual. software, databases, Web servers, operating systems, storage and networking as virtual servers. On demand. add and subtract processors, memory, network bandwidth, storage.

6. IaaS Infrastructure as a Service PaaS Platform as a Service SaaS Software as a Service Types of cloud service

7. Review:Why distributed systems? What are the advantages? distributed vs centralized? multi-servervs client-server? Geography Concurrency => Speed High-availability (if failures occur).

8. Review: What Should Be Distributed? Users and User Interface Thin client Processing Trim client Data Fat client Will discuss tradeoffs later Database Business Objects workflow Presentation

9. The Google File System

10. The Design Cluster consists of a single master and multiple chunkservers and is accessed by multiple clients

11. MapReduce: Execution overview

12. MapReduce in Parallel: Example

13. BigTable: A Distributed Storage System for Structured Data

14. Basic Data Model A BigTable is a sparse, distributed persistent multi-dimensional sorted map (row, column, timestamp) -> cell contents Good match for most Google applications

15. Yahoo ！ Cloud computing

16. Yahoo! Cloud Stack Provisioning (Self-serve) Horizontal Cloud Services …YCSYCPI Brooklyn EDGE Monitoring/Metering/Security Horizontal Cloud Services …Hadoop BATCH Horizontal Cloud Services …SherpaMOBStor STORAGE Horizontal Cloud Services VM/OS… APP Horizontal Cloud Services VM/OSyApache WEB Data Highway Serving Grid PHPApp Engine

17. Hadoop clusters We have ~20,000 machines running Hadoop Our largest clusters are currently 2000 nodes Several petabytes of user data (compressed, unreplicated) We run hundreds of thousands of jobs every month

18. Introduction to IBM Cloud Products and Cloud-based Analysis Platform Research at CRL Chen Wang ( 王晨 ) IBM China Research Laboratory

19. About Chen Received Ph.D. degree of computer science from Fudan University in 2005 Joined IBM China Research Lab since 2005 Major research areas Database and data mining [2002 to 2005] Focus: to solve scalability and performance issues of querying and mining over graph like data Representatives : KDD’04, SIGMOD’05, PAKDD’04, JCST, WWW J, DKE J Semantic web and data management [2005 to 2008] Focus: to develop scalable and efficient RDF data store in a single node Representatives : SIGMOD’08, ICDE’09, WWW’08, WWW’07, VLDB’07 Semantic web + data mining + cloud computing [Now!] Focus: to deliver knowledge discovery system over RDF data in cloud environment to enable business intelligence in healthcare area Representatives : …

20. Presentation list Five minutes each student 王琦 陈超世 王馨婕 韩家龙 王海涌 徐天任 殷颉

21. Presentation list Five minutes each student 常新昊 王冬晨 陈禹 杨若云 李微怡 应宏伟 许迪

22. Presentation list Five minutes each student 刘仁章 胡梦君 孙正立 祝锐 姜燕 姚垚 晏梦灵

23. Presentation list Five minutes each student 张帅 纪阳 Mark Volkmann 何荣 苏锦鹏 居健 钟文睿 朱海文

24. Presentation list Five minutes each student 贾旭 周宁南 谢少多 孙宇 刘悦 王茜茜