Cloud platforms - Cloud Computing

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  • 1. Cloud Platforms in Industry
  • 2. Cloud Computing Allow use of computing resources Services are delivered over the network Services are divided into: Infrastructure-as-a-Service (IaaS) Platform-as-a-Service (PaaS) Software-as-a-Service (SaaS)
  • 3. Defining a Cloud no physical object an electronic structure server behave as one large storage space and processor server clusters can provide a cloud setup
  • 4. Benefits of Cloud Hosting Elasticity Pay by use Self Service
  • 5. Popular Providers Amazon Web Services Salesforce.com Microsoft Azure Google App Engine Hadoop Manjrasoft Aneka
  • 6. Amazon Web Services(AWS) AWS is collection of Web services providing Compute power Storage Content delivery Services available in AWS ecosystem are: Compute service Storage service Communication service Additional services
  • 7. Amazon EC2 Offers compute service and delivers IaaS EC2 deploy servers as virtual machines Signature features: Amazon Machine Image (AMI) EC2 instance and environment AWS CloudFormation AWS Elastic Beanstalk
  • 8. Amazon Machine Image (AMI) Templates to create virtual machine Contains Physical file system layout : Amazon Ramdisk Image Predefined OS installed : Amazon Kernel Image AMI created stored in S3 bucket Product code can be associated for revenue
  • 9. EC2 Instance Represent virtual machines Created by selecting No. of cores Computing power Installed memory Currently available configurations Standard instances Micro instances Cluster GPU instances EC2 instances can run by using Command line tools AWS console
  • 10. EC2 Environment EC2 instances are executed in virtual environment EC2 environment is in charge of Allocating addresses Attaching storage volumes Configuring security
  • 11. Amazon S3 Amazon Simple Storage Service(S3) is distributed object store. S3 provides services for data storage and information management The components are: Buckets Objects
  • 12. Amazon S3 Vs Distributed File System Storage is hierarchical Objects cannot be manipulated like standard files Content is not immediately available to users Request will occasionally fail
  • 13. Features of S3 Resource Naming Buckets Objects and meta data Access control and Security Advanced features
  • 14. Google App Engine Paas implementation Distributed and scalable runtime environment Usage can be metered
  • 15. Components Platform Google AppEngine Google App Engine Runtime Environment Set of Scalable Services Google Storage Googles Infrastructure
  • 16. Runtime Environment Sand Boxing Supported runtimes
  • 17. Distributed Meme: Divide & Conquer Specialized services Memcache URL Fetch Mail XMPP Task Queue Images 1 7 Datastore Cron jobs User Service
  • 18. Hadoop Software platform that lets one easily write and run applications that process vast amounts of data. It includes: MapReduce offline computing engine HDFS Hadoop distributed file system
  • 19. What does it do? Implements Googles MapReduce, using HDFS MapReduce divides applications into many small blocks of work HDFS creates multiple replicas of data blocks for reliability, placing them on compute nodes around the cluster MapReduce can then process the data where it is located Hadoop s target is to run on clusters of the order of 10,000-nodes
  • 20. What Hadoop provides: Ability to read and write data in parallel to or from multiple disks Enables applications to work with thousands of nodes and petabytes of data A reliable shared storage and analysis system (HDFS and MapReduce) Advantages : Scalable Economical Efficient Reliable
  • 21. Who uses Hadoop?
  • 22. Presented By: Aditi Rai Annapurna Tiwari