Cloud computing
- 1. Cloud Computing: Concepts, Technologies and Business Implications B. Ramamurthy & K. Madurai bina@buffalo.edu & kumar.madurai@ctg.com This talks is partially supported by National Science Foundation grants DUE: #0920335, OCI: #1041280 Wipro Chennai 2011 6/23/2010 1
- 2. Outline of the talk • Introduction to cloud context o Technology context: multi-core, virtualization, 64-bit processors, parallel computing models, big-data storages… o Cloud models: IaaS (Amazon AWS), PaaS (Microsoft Azure), SaaS (Google App Engine) • Demonstration of cloud capabilities o Cloud models o Data and Computing models: MapReduce o Graph processing using amazon elastic mapreduce • A case-study of real business application of the cloud • Questions and Answers Wipro Chennai 2011 6/23/2010 2
- 3. Speakers’ Background in cloud computing • Bina: o Has two current NSF (National Science Foundation of USA) awards related to cloud computing: o 2009-2012: Data-Intensive computing education: CCLI Phase 2: $250K o 2010-2012: Cloud-enabled Evolutionary Genetics Testbed: OCI-CI-TEAM: $250K o Faculty at the CSE department at University at Buffalo. • Kumar: o Principal Consultant at CTG o Currently heading a large semantic technology business initiative that leverages cloud computing o Adjunct Professor at School of Management, University at Buffalo. Wipro Chennai 2011 6/23/2010 3
- 4. Introduction: A Golden Era in Computing 6/2/2011 Cloud Futures 2011, Redmond, WA 4
- 5. Cloud Concepts, Enablingtechnologies, and Models: The Cloud Context Wipro Chennai 2011 6/23/2010 5
- 6. Wipro Chennai 2011 Semantic discovery Data-intensive HPC, cloud Data marketplace and analytics Social media and networking Automate (discovery) web Discover (intelligence) Transact scale Integrate Interact Inform Publish Evolution of Internet Computing deep web time 6/23/2010 6
- 7. Top Ten Largest Databases Ref: http://www.focus.com/fyi/operations/10-largest-databases-in-the-world/ Wipro Chennai 2011 6/23/2010 7
- 8. Challenges • • • • • Alignment with the needs of the business / user / noncomputer specialists / community and society Need to address the scalability issue: large scale data, high performance computing, automation, response time, rapid prototyping, and rapid time to production Need to effectively address (i) ever shortening cycle of obsolescence, (ii) heterogeneity and (iii) rapid changes in requirements Transform data from diverse sources into intelligence and deliver intelligence to right people/user/systems What about providing all this in a cost-effective manner? Wipro Chennai 2011 6/23/2010 8
- 9. Enter the cloud • Cloud computing is Internet-based computing, whereby shared resources, software and information are provided to computers and other devices on-demand, like the electricity grid. • The cloud computing is a culmination of numerous attempts at large scale computing with seamless access to virtually limitless resources. o on-demand computing, utility computing, ubiquitous computing, autonomic computing, platform computing, edge computing, elastic computing, grid computing, … Wipro Chennai 2011 6/23/2010 9
- 10. “Grid Technology: A slide from my presentation • • • • • • • to Industry (2005) Emerging enabling technology. Natural evolution of distributed systems and the Internet. Middleware supporting network of systems to facilitate sharing, standardization and openness. Infrastructure and application model dealing with sharing of compute cycles, data, storage and other resources. Publicized by prominent industries as on-demand computing, utility computing, etc. Move towards delivering “computing” to masses similar to other utilities (electricity and voice communication).” Now, Hmmm…sounds like the definition for cloud computing!!!!! Wipro Chennai 2011 6/23/2010 10
- 11. It is a changed world now… • • • • • • • • Explosive growth in applications: biomedical informatics, space exploration, business analytics, web 2.0 social networking: YouTube, Facebook Extreme scale content generation: e-science and e-business data deluge Extraordinary rate of digital content consumption: digital gluttony: Apple iPhone, iPad, Amazon Kindle Exponential growth in compute capabilities: multi-core, storage, bandwidth, virtual machines (virtualization) Very short cycle of obsolescence in technologies: Windows Vista Windows 7; Java versions; CC#; Phython Newer architectures: web services, persistence models, distributed file systems/repositories (Google, Hadoop), multi-core, wireless and mobile Diverse knowledge and skill levels of the workforce You simply cannot manage this complex situation with your traditional IT infrastructure: Wipro Chennai 2011 6/23/2010 11