Overview of Cloud Computing
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This document provides an overview of cloud computing presented by Ganesh Neelakanta Iyer. It begins with Ganesh introducing himself and his research interests in cloud computing, resource allocation, and pricing. He then provides a basic introduction to cloud computing, discussing how common technologies like YouTube, Google, and Facebook utilize cloud computing. The document outlines different cloud service models including Software as a Service, Platform as a Service, and Infrastructure as a Service. It also discusses some challenges of cloud computing and tips for getting started. Ganesh describes his research focusing on auction-based and incentive-based mechanisms for multiple cloud orchestration. He concludes with future projections about cloud computing growth and job opportunities in India.
Overview of Cloud Computing
- 1. Sailing in the Cloud… Ganesh Neelakanta Iyer
- 2. About Me • 3 years of Industry work experience - Sasken Communication Technologies Ltd, Bangalore - NXP Semiconductors Pvt Ltd (Formerly Philips Semiconductors), Bangalore • Masters in Electrical and Computer Engineering from National University of Singapore in 2008. • Currently Research Scholar in NUS under the guidance of A/P. Bharadwaj Veeravalli. Research Interests: Cloud computing, Game theory, Resource Allocation and Pricing Personal Interests: Kathakali, Teaching, Travelling, Photography
- 3. Agenda • Introduction to Cloud Computing • Cloud Computing trends, benefits • Some Examples of Cloud • Different types of Clouds • Challenges • Getting started on Cloud • What do I do in my research? • Future of Cloud
- 4. Introduction to Cloud Computing
- 5. Introduction Ever wondered how you are able to watch thousands of movies on Youtube instantaneously? How about searching though billions of documents as done by Google? Do you use facebook to play games, upload photos, where do all these stored? Ever created a document in Google Docs? IT as a service is known as Cloud Computing. In the past IT meant computers, infrastructure, computer scientists, electrical power, cooling, repair, etc.
- 6. Traditional Model Cloud Computing Model Proprietary internal IT resources Remote, shared services Company A Company B Internet Company A Company B
- 7. What is Cloud Computing? Conventional Computing vs. Cloud Computing Manually Provisioned Self-provisioned Dedicated Hardware Shared Hardware Fixed Capacity Elastic Capacity Pay for Capacity Pay for Use Capital & Operational Expenses Operational Expenses Managed via Sysadmins Managed via APIs
- 8. Cloud computing trends, benefits…
- 9. Technology Hype Cycle 2011, AUGUST 10th !!!!! 2009 2010 and 2011 2008 2007 http://www.gartner.com/hc/images/215650_0001.gif
- 11. Some examples that uses Cloud…
- 12. Pizzas from the Cloud… • Availability is a critical requirement • Spikes in demand • Optimize computing capacity while being able to handle peak demand SOLUTION:
- 13. Brewing customer feedback • Build an online community to engage with customers and employees dynamically • Required community management tools to track and implement the best ideas SOLUTION:
- 14. Real-estate in Cloud • Procuring and installing servers or upgrades are distraction • Difficult to anticipate hardware demand • Unanticipated hardware failures leads to terrible impact on productivity SOLUTION:
- 15. Location-based commerce • View map of your location, and surrounding businesses & services • Discover what's new, what's on sale, at which stores around you • Locate nearest bus stops, train stations, taxi stands; access real-time estimates of next bus arrival times SOLUTION:
- 16. Different types of services…
- 17. Three major kinds of Cloud services
- 18. Challenges in Cloud Computing…
- 19. Challenges… • Requires a constant Internet connection: – No internet means no access to even your own documents • Features might be limited: – This situation is bound to change – For example, you can do a lot more with Microsoft PowerPoint than with Google Presentation's web-based offering. – The basics are similar, but the cloud application lacks many of PowerPoint's advanced features. COURTESY: http://acet.rdg.ac.uk/~mab/Talks/Clouds-La-Coruna09/Talk.ppt
- 20. Challenges… • Stored data might not be secure: – How secure is the cloud? – Can unauthorized users gain access to your confidential data? – Only time will tell if your data is secure in the cloud. • Stored data can be lost: – Theoretically, data stored in the cloud is safe, replicated across multiple machines. – But data loss can happen COURTESY: http://acet.rdg.ac.uk/~mab/Talks/Clouds-La-Coruna09/Talk.ppt
- 21. Getting started in Cloud Computing..
- 22. Getting started in Cloud Computing… 1. Know the different options available to you 2. Understand that scaling is a skill, not a default 3. Implement a disaster plan 4. Don’t be naïve 5. Budget for your specific use-case 6. Choose a cloud provider on your needs, not its popularity 7. Remember: some applications are not good fits for cloud 8. Think outside of the box COURTESY: http://www.openforum.com/idea-hub/topics/the-world/article/8-tips-to-getting-started-in-cloud-computing-guy-kawasaki
- 23. Top 250 players in Cloud http://cloudcomputing.sys-con.com/node/1386896
- 24. What do I do in my research?
- 25. Auction-based vs. Incentive-based Multiple-Cloud Orchestration Mechanism With our schemes, the Cloud Service Providers (CSPs) can offer attractive dynamic pricing policies to the users Users can choose appropriate CSPs based on their requirements.
- 26. Incentive-based Scheme User submits the job requirements to Broker Broker forwards this request to appropriate CSPs CSPs offer the price based on user return ratio and load, and send to users through Broker Users choose appropriate CSP which maximizes its utility calculated based on offer prize, security index and affinity index
- 27. Auction-based Scheme User chooses the desired CSP which has the maximum trust and reputation. User then sends this desired CSP and bid price to Broker CSPs also submit their minimum bid price for the resources to Broker Broker declares the winner based on these parameters User repeats its auction if the last auction is a failure
- 28. Performance Evaluation Comparison of the revenues obtained
- 29. Performance Evaluation Effect of User Preferences Incentive based Auction based
- 30. Future of Cloud Computing…
- 31. Numbers!!! • The number of physical servers in the World today: 50 million. • By 2013, approximately 60% of server workloads will be virtualized • 50% of the 8 million servers sold every year end up in data centers • The data centers of the dot-com era consumed 1-2 MW Today data center facilities require 20 MW, - 10 times as much as a decade ago • Google currently controls 2% of all servers ( around 1 million) with it saying it plans to have upwards of 10 million servers in one decade • 98% of the market is controlled by everyone else. COURTESY: http://www.elasticvapor.com/2010/05/cloud-computing-opportunity-by-numbers.html
- 32. Some facts!!! • “Take CBSE, you can have the courseware and the books on the cloud.” – Ms Neelam Dhawan, Managing Director, HP India in an interview to Times of India 23-July-2011 • The cloud is one of the top strategic areas of focus for HP – Information Week, 10-AUGUST-2011 • Cloud Computing is one of the key trends which is going to shape the internet landscape of India – Rajan Anandan, Google India 10-AUGUST- 2011
- 33. Cloud computing future in India • Cloud computing to create 1,00,000 jobs in India – NDTV 20-JULY-2011 • The Cloud Reshapes IT Job Market –CIO.IN 28-JULY-2011 • Cloud computing in India to grow 40 pc by 2014: IDC study 2-DECEMBER 2010 • Google- world's largest search engine administrator- is pinning hopes on the growing cloud computing market in India with plans to double its engineering headcount in the country in next two years – Economic times, 11-NOVEMBER-2010 • 76 per cent enterprises in India want to virtualize and adopt cloud computing in the next one and a half year – VmWare survey, 19- NOVEMBER-2010