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:
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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
Google’s 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 Google’s 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 :
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Scalable
Economical
Efficient
Reliable

21. Who uses Hadoop?

22. Presented By:
Aditi Rai
Annapurna Tiwari