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Cloud Computing: An Overview


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Basics of Cloud Computing

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Cloud Computing: An Overview

  2. 2. Topics  What is Cloud Computing  Cloud Evolution  Why Cloud Computing  Cloud Vs Grid and Utility Computing  Existing Method  Cloud Computing Architecture  Types of services  Deployment Models  Opportunities and Challenges  Advantages of Cloud Computing  Disadvantages of Cloud Computing  Areas of cloud computing  Windows Azure  Google App Engine  Amazon EC2  Opens tack  BigData  Hadoop  MapReduce  Summary  References 19-01-2016 2 Cloud Computing
  3. 3. Technical Terms 19-01-2016Cloud Computing 3  Cloud  Grid  Utility  Hosting  Cluster  Virtualization  Datacenter
  4. 4. What is Cloud Computing “Cloud computing is Internet-based computing, whereby shared resources, software, and information are provided to computers and other devices on demand through the Internet” -Wikipedia Definition 19-01-2016 4 Cloud Computing
  5. 5. Cloud Evolution Open MPP & SMP Commodity Clusters Grid Computing 1990 Virtualized Clusters SaaS PaaS IaaS 1995 2000 2005 20071965 1980 CloudProprietary Mainframe 19-01-2016 5 Cloud Computing
  6. 6. Why Cloud Computing Eliminates capacity planning and sizing Prevents ‘success disaster’ Eliminates scalability issues and risk of failure s Savings on Capital Investment Savings on Data Center Space, Power and Cooling Minimizes Operational cost Reduces TCO (Total Cost of Ownership) Reduces Risks Re-invest saved Capex on new initiatives Focus on business, not on infrastructure Save on operations manpower Better Budget Utilization Quicker Time to Market Create dev and test environments on the fly Rely on speed & stability of the Cloud provider Remain Competitive 19-01-2016 6 Cloud Computing
  7. 7. Cloud Vs Grid and Utility Computing Grid computing is a collection of servers that are clustered together to attack a single problem. For a period of time, the entire resources of the grid are available to an user to tackle a particularly difficult compute problem. Grid Computing Utility Computing •Metered use of computational resources •Origin from utility services (Electricity) 19-01-2016 7 Cloud Computing
  8. 8. Existing Method [Traditional Web Hosting] Types of Hosting: 1. Shared Hosting 2. Dedicated Hosting 3. Virtual Private Server Hosting Apart from choosing the type the user/webmaster also has to choose the platform for his hosting and the most popular are - Linux and - Windows 19-01-2016 8 Cloud Computing
  9. 9. Cloud Computing Architecture 19-01-2016 9 Cloud Computing
  10. 10. Cloud Computing [Types of services] Software as a service - service provider will give your users the service of using their software, especially any type of applications software. Example-Google (GOOG), (CRM), NetSuite (N). 19-01-2016 10 Cloud Computing
  11. 11. Advantages of SaaS  Saves the complexity of software installation.  No need for maintenance, upgrades, and patches (for example, for security fixes) for the IT team within the enterprise.  SaaS provider can provide this service to multiple customers and enterprises, resulting in a multitenant model.  Monitoring application-delivery performance is the responsibility of the SaaS provider. 11 19-01-2016Cloud Computing
  12. 12. Cloud Computing [Types of services] Platform as a service - service provider only provide platform or a stack of solutions for your users. It helps users saving investment on hardware and software. Google GC engine and provide this type of service. 19-01-2016 12 Cloud Computing
  13. 13. Advantages of PaaS  PaaS is a true cloud model in that applications do not need to worry about the scalability of the underlying platform (hardware and software).  When enterprises write their application to run over the PaaS provider’s software platform, the elasticity and scalability is guaranteed transparently by the PaaS platform. 19-01-2016 13 Cloud Computing
  14. 14. Cloud Computing [Types of services] Infrastructure as a service - service provider bears all the cost of servers, networking equipment, storage, and backups. You just have to pay to take the computing service. And the users build their own application software. Amazon EC2 is a great example of this type of service. 19-01-2016 14 Cloud Computing
  15. 15. Advantages of IaaS  Offers you the greatest degree of control of the three models.  Scaling and elasticity are your—not the provider’s— responsibility.  It is a mini do-it-yourself datacenter that you have to configure to get the job done.  Amazon uses virtualization as a critical underpinning of its EC2 service, so you actually get a VM when you ask for a specific machine configuration 19-01-2016 15 Cloud Computing
  16. 16. Cloud Computing [Deployment Models] Public cloud- this is the most popular type of cloud system and is considered as a mainstream cloud system by cloud computing experts. In public cloud system a third party data center provide both disk space and computing power for all the application software. Amazon web and Google apps is the two most popular public cloud computing service providers. 19-01-2016 16 Cloud Computing
  17. 17. Cloud Computing [Deployment Models...] Private cloud- unlike public cloud, you need to set up your own data center and also bear all the installation & maintenance cost, and have complete control of all your data. This system provides more security and privacy, but it is more expensive cloud solution to public cloud. 19-01-2016 17 Cloud Computing
  18. 18. Cloud Computing [Deployment Models...] Hybrid Cloud - A hybrid cloud is a composition of at least one private cloud and at least one public cloud. A hybrid cloud is typically offered in one of two ways : – A vendor has a private cloud and forms a partnership with a public cloud provider – A public cloud provider forms a partnership with a vendor that provides private cloud platforms 19-01-2016 18 Cloud Computing
  19. 19. Key Characteristics  Agility  Cost  Device and  Reliability  Scalability  Security  location  Independence  Multi tenancy 19-01-2016 19 Cloud Computing
  20. 20. Opportunities and Challenges  The use of the cloud provides a number of opportunities:  It enables services to be used without any understanding of their infrastructure.  Cloud computing works using economies of scale:  It potentially lowers the outlay expense for start up companies, as they would no longer need to buy their own software or servers.  Cost would be by on-demand pricing.  Vendors and Service providers claim costs by establishing an ongoing revenue stream.  Data and services are stored remotely but accessible from “anywhere”. 19-01-2016 20 Cloud Computing
  21. 21. Opportunities and Challenges  In parallel there has been backlash against cloud computing:  Use of cloud computing means dependence on others and that could possibly limit flexibility and innovation:  The others are likely become the bigger Internet companies like Google and IBM, who may monopolise the market.  Some argue that this use of supercomputers is a return to the time of mainframe computing that the PC was a reaction against.  Security could prove to be a big issue:  It is still unclear how safe out-sourced data is and when using these services ownership of data is not always clear.  There are also issues relating to policy and access:  If your data is stored abroad whose policy do you adhere to?  What happens if the remote server goes down?  How will you then access files?  There have been cases of users being locked out of accounts and losing access to data. 19-01-2016 21 Cloud Computing
  22. 22. Advantages of Cloud Computing  Lower computer costs:  You do not need a high-powered and high-priced computer to run cloud computing's web-based applications.  Since applications run in the cloud, not on the desktop PC, your desktop PC does not need the processing power or hard disk space demanded by traditional desktop software.  When you are using web-based applications, your PC can be less expensive, with a smaller hard disk, less memory, more efficient processor...  In fact, your PC in this scenario does not even need a CD or DVD drive, as no software programs have to be loaded and no document files need to be saved. 19-01-2016 22 Cloud Computing
  23. 23. Advantages of Cloud Computing  Improved performance:  With few large programs hogging your computer's memory, you will see better performance from your PC.  Computers in a cloud computing system boot and run faster because they have fewer programs and processes loaded into memory…  Reduced software costs:  Instead of purchasing expensive software applications, you can get most of what you need for free-ish!  most cloud computing applications today, such as the Google Docs suite.  better than paying for similar commercial software  which alone may be justification for switching to cloud applications. 19-01-2016 23 Cloud Computing
  24. 24. Advantages of Cloud Computing  Instant software updates:  Another advantage to cloud computing is that you are no longer faced with choosing between obsolete software and high upgrade costs.  When the application is web-based, updates happen automatically  available the next time you log into the cloud.  When you access a web-based application, you get the latest version  without needing to pay for or download an upgrade.  Improved document format compatibility.  You do not have to worry about the documents you create on your machine being compatible with other users' applications or OSes19-01-2016 24 Cloud Computing
  25. 25. Advantages of Cloud Computing  Unlimited storage capacity:  Cloud computing offers virtually limitless storage.  Your computer's current 1 Tbyte hard drive is small compared to the hundreds of Pbytes available in the cloud.  Increased data reliability:  Unlike desktop computing, in which if a hard disk crashes and destroy all your valuable data, a computer crashing in the cloud should not affect the storage of your data.  if your personal computer crashes, all your data is still out there in the cloud, still accessible  In a world where few individual desktop PC users back up their data on a regular basis, cloud computing is a 19-01-2016 25 Cloud Computing
  26. 26. Advantages of Cloud Computing  Universal document access:  That is not a problem with cloud computing, because you do not take your documents with you.  Instead, they stay in the cloud, and you can access them whenever you have a computer and an Internet connection  Documents are instantly available from wherever you are  Latest version availability:  When you edit a document at home, that edited version is what you see when you access the document at work.  The cloud always hosts the latest version of your19-01-2016 26 Cloud Computing
  27. 27. Advantages of Cloud Computing  Easier group collaboration:  Sharing documents leads directly to better collaboration.  Many users do this as it is an important advantages of cloud computing  multiple users can collaborate easily on documents and projects  Device independence.  You are no longer tethered to a single computer or network.  Changes to computers, applications and documents follow you through the cloud.  Move to a portable device, and your applications and documents are still available. 19-01-2016 27 Cloud Computing
  28. 28. Disadvantages of Cloud Computing  Requires a constant Internet connection:  Cloud computing is impossible if you cannot connect to the Internet.  Since you use the Internet to connect to both your applications and documents, if you do not have an Internet connection you cannot access anything, even your own documents.  A dead Internet connection means no work and in areas where Internet connections are few or inherently unreliable, this could be a deal-breaker. 19-01-2016 28 Cloud Computing
  29. 29. Disadvantages of Cloud Computing  Does not work well with low-speed connections:  Similarly, a low-speed Internet connection, such as that found with dial-up services, makes cloud computing painful at best and often impossible.  Web-based applications require a lot of bandwidth to download, as do large documents.  Features might be limited:  This situation is bound to change, but today many web-based applications simply are not as full-featured as their desktop-based applications.  For example, you can do a lot more with Microsoft PowerPoint than with Google Presentation's web-based offering 19-01-2016 29 Cloud Computing
  30. 30. Disadvantages of Cloud Computing  Stored data might not be secure:  With cloud computing, all your data is stored on the cloud.  The questions is How secure is the cloud?  Can unauthorised users gain access to your confidential data?  Stored data can be lost:  Theoretically, data stored in the cloud is safe, replicated across multiple machines.  But on the off chance that your data goes missing, you have no physical or local backup.  Put simply, relying on the cloud puts you at risk if the cloud lets you down. 19-01-2016 30 Cloud Computing
  31. 31. Areas of cloud computing  Banking Financial Services  Hospitals  Educational institutions  Backup Services  Government 19-01-2016 31 Cloud Computing
  32. 32.  It is an operating System for the cloud  It is designed for utility computing  It provides facilities to:  Write your apps (developer experience)  Host your apps (compute)  Manage your apps (service management)  Store your data (storage) 19-01-2016 32 Cloud Computing
  33. 33. 19-01-2016 33 Cloud Computing
  34. 34.  Google App Engine lets you run web applications on Google's infrastructure. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow. 19-01-2016 34 Cloud Computing
  35. 35. 19-01-2016 35 Cloud Computing
  36. 36.  Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud.  EC2 works in conjunction with  Amazon Simple Storage Service (Amazon S3),  Amazon SimpleDB  Amazon Simple Queue Service (Amazon SQS) 19-01-2016 36 Cloud Computing
  37. 37. 19-01-2016 37 Cloud Computing
  38. 38. 19-01-2016 38 Cloud Computing  OpenStack is a cloud computing project to provide an infrastructure as a service (IaaS).  OpenStack OpenStack is a global collaboration of developers and cloud computing technologists producing the ubiquitous open source cloud computing platform for public and private clouds.
  39. 39. 19-01-2016Cloud Computing 39  Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.  The challenges include capture, curation, storage, search, sharing, transfer, analysis, and visualization.
  40. 40. 19-01-2016Cloud Computing 40  Apache Hadoop is an open-source software framework that supports data-intensive distributed applications, licensed under the Apache v2 license.  It supports the running of applications on large clusters of commodity hardware. Hadoop was derived from Google's MapReduce and Google File System (GFS) papers.
  41. 41. 19-01-2016Cloud Computing 41  MapReduce is a programming model for processing large data sets with a parallel, distributed algorithm on a cluster.  A MapReduce program comprises a Map() procedure that performs filtering and sorting (such as sorting students by first name into queues, one queue for each name) and a Reduce() procedure that performs a summary operation (such as counting the number of students in each queue, yielding name frequencies).
  42. 42. Summary 19-01-2016Cloud Computing 42  We discussed the features of the Cloud Computing and Windows Azure, Google App Engine, Hadoop and MapReduce etc..  Cloud is indeed an impactful technology that is sure to transform computing in business.
  43. 43. References  Windows Azure:  Google App Engine (GAE): pengine.html  Amazon AWS:  OpenStack:  Hadoop:  19-01-2016 43 Cloud Computing
  44. 44. Questions 19-01-2016 44 Cloud Computing
  45. 45. Thank you... 19-01-2016Cloud Computing 45