C LOUD C OMPUTING A ND M4D Balwinder Sodhi Indian Institute of - - PowerPoint PPT Presentation

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C LOUD C OMPUTING A ND M4D Balwinder Sodhi Indian Institute of - - PowerPoint PPT Presentation

Oct 25, 2022 342 likes •479 views

C LOUD C OMPUTING A ND M4D Balwinder Sodhi Indian Institute of Technology Ropar MOOC on M4D 2013 Broad Components in a S/W Soln. Information acquisition/input component GUI or some input mechanism Business logic component

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MOOC on M4D 2013

CLOUD COMPUTING AND M4D

Balwinder Sodhi Indian Institute of Technology Ropar

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MOOC on M4D 2013

Broad Components in a S/W Soln.

  • Information acquisition/input component

– GUI or some input mechanism

  • Business logic component

– “Algorithm” that solves the business problem

  • Information dissemination/output component

– GUI of some output mechanism

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MOOC on M4D 2013

Component are Deployed on a Platform

  • Platform for us may be:

– A user facing client environment

  • A mobile phone, tablet or a laptop etc.

– A backend server environment

  • Database server
  • Application/web server
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Where Does Cloud Computing Fit?

  • Mainly for backend component hosting

– Data processing – Data storage

  • For consuming other “heavy lifting” services

– Bulk video format conversions/enhancements – Apply some 3rd party algorithms to data

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Client device Network Server Storage

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What is Cloud Computing?

  • Computing on remote servers (instead of

local/personal computer)

– Typically hosted on the Internet – Can also be within the organization – Exhibits some special properties (more on this shortly)

  • Computing here typically means:

– Processing of data – Storing or managing data

  • Computing capabilities available on-demand

– Typically in utilities model (pay per use)

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A Historical Perspective

  • Concept dates back to 1950s

– Accessing mainframes via thin clients; used time- sharing for improving utilization

  • Cheap computers, storage devices and high-

speed networks have become ubiquitous

  • Mature hardware virtualization technologies

– Virtualization helps in server consolidation

Timeline

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Some Driving Factors

  • Enterprises wanted to improve resource

utilization

– Low datacenter utilization: ~ 10% of it peak capacity – Resource consolidation via virtualization technologies

  • Amazon Inc. played a key role

– Initiated efforts to “rent out” computing resources to external customers – In 2006 launched Amazon Web Service (AWS) as utility computing

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Five Characteristics of Cloud (NIST*)

  • 1. Broad network access

– Computing capabilities are available over the network – Accessed through standard mechanisms

  • 2. Resource pooling

– Computing resources are pooled to serve multiple consumers – Different resources dynamically assigned according to consumers' demands

* http://www.nist.gov/itl/cloud/upload/cloud-def-v15.pdf

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Five Characteristics of Cloud (NIST)

  • 3. On-demand Self-Service

– Consumers can provision computing capabilities without human interaction

  • 4. Rapid elasticity

– Computing capabilities can be rapidly and elastically provisioned to quickly scale up and rapidly released to scale down

  • 5. Measured service

– Usage of resources can be monitored, controlled, and reported – Provides transparency for both the provider and consumer

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Some Example Applications

  • Google Apps

– Gmail, Calendar, Sites etc.

  • VMWare CloudFoundry

– “Focus on Your App, Not Plumbing” – Offers a range of application development frameworks

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Some Of The Cloud Providers

  • Commercial

– Amazon EC2 (Computing), S3 (Storage) – Microsoft Azure (Computing and Storage) – Google AppEngine (Computing), BigTable (Storage) – Also Salesforce, IBM, Yahoo etc.

  • Open Source

– OpenNebula – Nimbus – Eucalyptus – OpenStack – CloudStack – AppScale

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THANK YOU