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

  2. Course purpose • Teach in English • Introduce studentssome basic knowledge about cloud computing 2

  3. Course contents • Basic knowledge • Google , Yahoo! , Amazon cloud technology • Hadoop Mapreduce Practice 3

  4. Lecturer Academic experience 2006.9 ~2008.6 University of California, Irvine, Postdoc researcher 2002.8 ~2006.8 National University of Singapore, PhD candidate 1998.9 ~ 2001.1Shanghai Jiao Tong University Master candidate

  5. University of California, Irvine

  6. Research in Postdoc Data integration in medical system [US patent] Approximate string search[ICDE08] 6 6

  7. National University of Singapore 7

  8. Course grading • Hadoop code writing (Java) 40% • In-class presence and quiz 30% • Final presentation 30% 8

  9. Teaching assistant • Cheng ming • Email: • Any problem about Hadoop java codes, you may email him. 9

  10. Any question and any comments ?

  11. Cloud computing

  12. Why we use cloud computing?

  13. Why we use cloud computing? Case 1: Write a file Save Computer down, file is lost Files are always stored in cloud, never lost

  14. Why we use cloud computing? Case 2: Use IE --- download, install, use Use QQ --- download, install, use Use C++ --- download, install, use …… Get the serve from the cloud

  15. What is cloud and cloud computing? Cloud Demand resources or services over Internet scale and reliability of a data center.

  16. 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.

  17. The architecture of cloud computing system

  18. What is cloud computing • Video: • http://v.youku.com/v_show/id_XMTYxODA1MjE2.html

  19. 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.

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

  21. SaaS Software delivery model No hardware or software to manage Service delivered through a browser Customers use the service on demand Instant Scalability

  22. SaaS Examples Your current CRM package is not managing the load or you simply don’t want to host it in-house. Use a SaaS provider such as Salesforce.com Your email is hosted on an exchange server in your office and it is very slow. Outsource this using Hosted Exchange.

  23. PaaS Platform delivery model Platforms are built upon Infrastructure, which is expensive Estimating demand is not a science! Platform management is not fun!

  24. PaaS Examples You need to host a large file (5Mb) on your website and make it available for 35,000 users for only two months duration. Use Cloud Front from Amazon. You want to start storage services on your network for a large number of files and you do not have the storage capacity…use Amazon S3.

  25. IaaS Computer infrastructure delivery model A platform virtualization environment Computing resources, such as storing and processing capacity. Virtualization taken a step further

  26. IaaS Examples You want to run a batch job but you don’t have the infrastructure necessary to run it in a timely manner. Use Amazon EC2. You want to host a website, but only for a few days. Use Flexiscale.

  27. Cloud computing and other computing techniques

  28. Grid Computing & Cloud Computing • share a lot commonality intention, architecture and technology • Difference programming model, business model, compute model, applications, and Virtualization.

  29. Grid Computing & Cloud Computing • the problems are mostly the same • manage large facilities; • define methods by which consumers discover, request and use resources provided by the central facilities; • implement the often highly parallel computations that execute on those resources.

  30. Grid Computing & Cloud Computing • Virtualization • Grid • do not rely on virtualization as much as Clouds do, each individual organization maintain full control of their resources • Cloud • an indispensable ingredient for almost every Cloud

  31. Any question and any comments ? 2014/10/12 34

  32. Distributed system

  33. A distributed system B A C D

  34. client-server system Client Client Client Server Client

  35. multiple servers Server Server Server Server Server

  36. Why distributed systems? What are the advantages? distributed vs centralized? multi-server vs client-server?

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

  38. Why not distributed systems? What are the disadvantages? distributed vs centralized? multi-server vs client-server?

  39. Why not distributed systems? What are the disadvantages? distributed vs centralized? multi-server vs client-server? • Expensive (to have redundancy) • Concurrency => Interleaving => Bugs • Failures lead to incorrectness.

  40. References • http://www.cloudcomputing-china.cn/ • http://dotnetslackers.com/articles/sql/Introduction-to-Cloud-Computing.aspx • http://www.hudong.com/wiki/%E4%BA%91%E5%AE%89%E5%85%A8 • http://en.wikipedia.org/wiki/Cloud_computing

  41. Q&A Thanks