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Introduction to cloud computing

Introduction to cloud computing. Jiaheng Lu Department of Computer Science Renmin University of China www.jiahenglu.net. Why we use cloud computing?. What is cloud and cloud computing?.

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Introduction to cloud computing

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

  2. Why we use cloud computing?

  3. 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.

  4. 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.

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

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

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

  8. The Google File System

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

  10. MapReduce: Execution overview

  11. MapReduce in Parallel: Example

  12. BigTable: A Distributed Storage System for Structured Data

  13. 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

  14. Yahoo！ Cloud computing

  15. Yahoo! Cloud Stack EDGE Horizontal Cloud Services YCS YCPI Brooklyn … WEB Horizontal Cloud Services VM/OS yApache PHP App Engine APP Provisioning (Self-serve) Monitoring/Metering/Security Horizontal Cloud Services VM/OS Serving Grid … Data Highway STORAGE Horizontal Cloud Services Sherpa MOBStor … BATCH Horizontal Cloud Services Hadoop …

  16. 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

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

  18. 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 : …

  19. 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

  20. 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

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

  22. 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

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

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