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NETE4631 Network Information Systems : Introduction to Cloud Computing

NETE4631 Network Information Systems : Introduction to Cloud Computing. Lecture Notes #1. Background Brief. Dr. Suronapee Phoomvuthisarn PhD in CSE, University of New South Wales, 2011 National ICT Australia (2008 - 2011) Research interests in software architecture

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NETE4631 Network Information Systems : Introduction to Cloud Computing

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  1. NETE4631Network Information Systems : Introduction to Cloud Computing Lecture Notes #1

  2. Background Brief • Dr. Suronapee Phoomvuthisarn • PhD in CSE, University of New South Wales, 2011 • National ICT Australia (2008 - 2011) • Research interests in software architecture • Service Economics, Cloud Computing • Work History: • Mahanakorn University of Technology (Since 2007) • Position: รองคณบดีฝ่ายกิจการนักศึกษาและประชาสัมพัน • http://www.it.mut.ac.th/new/index.php/personal/view/9 • Email :suronape@mut.ac.th

  3. Intro • Class objectives • Materials • Text • Sosinsky, B., (2011), Cloud Computing Bible, Wiley. • Slides reproduced from the course offered by Assoc. M.Babar, University of Copenhagen • Grading policy (30/30/40) • Exercises/Presentations/Group Discussions • แผน ก. • Present selected papers • Criticize selected papers • แผน ข. • Working with Cloud-based Applications as well as presenting them

  4. Learning Outcome • Describe different concepts and mechanisms underpinning Cloud computing and its potential impacts on businesses. • Provide a detailed description of technologies and approaches enabling Cloud computing such as service-orientation, Internet infrastructures, virtualization, time-sharing, distributed computing, multi-tenancy, resource provisioning techniques, and protocols.

  5. Learning Outcome (2) • Evaluate and select an appropriate public cloud provider by applying the theoretical concepts and practical techniques from the course. • Analyse and explain key aspects of building for and/or migrating systems to Cloud such as costs involved, potential benefits, security issues, regulatory concerns, and standards.

  6. Articles • Armbrust, M., et al., 2010, A View of Cloud Computing, ACM, 53(4), pp. 50-58. • Papazoglou, M., Traverso, P., Dustdar, S., Leymann, F., 2007, Service-Oriented Computing: State of the Art and Research Challenges, IEEE Computer, 40(11), pp. 38-45. • Durkee, D., 2010, Why Cloud Computing Will Never Be Free, IT Professional, 53(5), pp. 62-69. • Joshi, B.D.J, Takabi, H., Ahn, G., Security and Privacy Challenges in Cloud Computing Environments, IEEE Security & Privacy, Nov/Dec, 2010. • Ali Babar, M., Chauhan, M. A., A Tale of Migration to Cloud Computing for Sharing Experiences and Observations, proceedings of the Software Engineering for Cloud Computing Workshop (SECLOUD), Collocated with ICSE 2011, Hawaii, USA.

  7. Cloud-based Application Exp. • Commercial • Google App Engine • Microsoft Azure • Open Source • Eucalyptas http://open.eucalyptus.com

  8. Class Overview • Introduction to Cloud computing and its impact on organizations, businesses, and society • Models of Cloud computing offerings (SaaS, PaaS, IaaS) and deployment (public, private, hybrid) • Strengthens and weaknesses of different types of Clouds (public, private, hybrid) Approaches • Foundation of Cloud systems’ architectures • Patterns and tactics for designing Cloud-based service oriented systems

  9. Class Overview (2) • Overview of Security and privacy challenges and solutions for Cloud-based systems • Designing and Assessing strategies for migration to Clouds • Managing, administering, monitoring, and supporting Cloud-based systems • Benefits, challenges, and risks of Cloud Computing • Evaluation and Comparison of proprietary and Open Source Cloud-based Solutions, e.g., EC2, Google AppEngine, Azure, Eucalyptus, and Hadoop.

  10. Course Administration • E-Learning • Contact • suronape@mut.ac.th

  11. Network Information Systems • NIS is an information system for managing networks. • Examples • Grid-based application • telecommunications network • Mail services, www • Cloud-based application

  12. What is Cloud Computing? • “Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction.” (A definition by the US National institute of standards and technology (NIST)) • Some of the characteristics • Distributed computing at a massive scale • On demand elasticity • Exploiting existing technologies (Grid, Utility, Virtualization) • Pay per use model • Driven by economies of scale

  13. Market Forecast

  14. Main Aspects of a Cloud System

  15. What is different? • Scale -Some companies that rely on cloud computing have infrastructures that scale over several (or more) data centers, Amazon & YouTube • Simplicity –simpler computing APIs • Pricing –pay as you use and No upfront capital expenditure –from investment to operational cost

  16. What is different? (2) • Availability of infinite computing resources on demand to follow the load surges; eliminating the need for planning far ahead for provisioning • No requirements for an up-front commitment and enabling companies to start small and increase resources only when the need increases • The ability to pay for use of computing resources on a short-term basis as needed (for example, processors by the hour and storage by the day) and release them as needed, thereby rewarding conservation by letting machines and storage go when they are no longer useful.

  17. Cloud Characteristics • Non-Functional Aspects • Elasticity –Horizontal and vertical scalability, middleware capable of automatic integration and extraction of extra resources when required. • Reliability -No loss of data, no code reset during execution etc. • Quality of Service -Specific requirements MUST be met by the service provider, e.g., response time, throughput etc. • Agility and adaptation –meeting the requirements of new or different resources on the fly • Availability of services and data –masking failures

  18. Cloud Characteristics • Economic Aspects • Cost reduction –Reducing the cost for infrastructure acquisition and maintenance • Improved time to market –Imperative for SMEs. Larger enterprises can publish new capabilities with little overhead to remain competitive. • Return on investment –Essential but not guaranteed • Turning CAPEX into OPEX –from capital cost to operation cost model • Going Green –Reducing the energy consumption of unused resources –scaling up should also consider the carbon footprint

  19. Service and Deployment Models

  20. Common Elements of a Cloud

  21. Is Cloud Computing for Me? • For end users • Cost reduction: From capital investment to operational expense (pay-per-use) • Ease of use via standardized mechanisms, e.g. Browser • Flexibility and short time-to-result • Services providers • Reduction of the entrance barrier • Reduction of time to market • Private Cloud • Maximize the utilisation of computing resources • Minimize operational costs and the organisation keeps full control of its data centres

  22. Benefits of Cloud Computing • On-demand self-service • Broad network access • Resource pooling • Rapid elasticity • Measured service • Lower costs • Ease of utilization • Quality of Service • Reliability • Outsourced IT management • Simplified maintenance and upgrade • Low barrier to entry

  23. Some of the Challenges!!! • Security • Would my data be more secure with Cloud provider? • Interoperability • Significant risk of vendor lock-in –Standardized interfaces not available, incompatible programming models • Reliability • Use of commodity hardware, prone to failure ...Cloud 2.0 • Laws and regulations • Privacy, security, and location of data storage • Organizational changes • Changing authorities of IT departments, compliance policies • Cost • Purchase vs. Lease, migration cost, models to design capital and operational budgets, cost of cloud providers

  24. Some Public Cloud Providers • Amazon • Google • Azure Service Platform • Salesfoce.com (CRM systems)

  25. Amazon Web Services (AWS) • Elastic Compute Cloud (EC2) –Virtual machines and CPU cycles • Simple Storage Service (S3) –Virtual storage service • Simple Queue Service (SQS) –Message passing API • SimpleDB–Running queries on structured data in real time –works with EC2 and S3

  26. Google App Engine

  27. Winder Azure • Windows Azure –Service hosting and management, storage, computation, networking • Microsoft SQL Services –Database services and reporting • Microsoft .NetServices –Service-based implementation of .NET framework

  28. A Comparative

  29. THANK YOU!!!!!

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