cloud computing
DESCRIPTION
Technology context: multi-core, virtualization, 64-bit processors, parallel computing models, big-data storages… Cloud models: IaaS (Amazon AWS), PaaS (Microsoft Azure), SaaS (Google App Engine) Demonstration of cloud capabilities Cloud models Data and Computing models: MapReduce Graph processing using amazon elastic mapreduceTRANSCRIPT
Cloud Computing: Cloud Computing: Concepts, Technologies Concepts, Technologies
and Business Implicationsand Business ImplicationsB. Ramamurthy & K. Madurai
[email protected] & [email protected] talks is partially supported by National Science Foundation grants DUE: #0920335,
OCI: #10412806/23/2010Wipro Chennai 2011 1
Outline of the talkOutline of the talk• Introduction to cloud context
o Technology context: multi-core, virtualization, 64-bit processors, parallel computing models, big-data storages…
o Cloud models: IaaS (Amazon AWS), PaaS (Microsoft Azure), SaaS (Google App Engine)
• Demonstration of cloud capabilitieso Cloud models o Data and Computing models: MapReduceo Graph processing using amazon elastic mapreduce
• A case-study of real business application of the cloud
• Questions and Answers
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Speakers’ Background in cloud Speakers’ Background in cloud
computing computing • Bina:
o Has two current NSF (National Science Foundation of USA) awards related to cloud computing:
o 2009-2012: Data-Intensive computing education: CCLI Phase 2: $250K
o 2010-2012: Cloud-enabled Evolutionary Genetics Testbed: OCI-CI-TEAM: $250K
o Faculty at the CSE department at University at Buffalo.• Kumar:
o Principal Consultant at CTGo Currently heading a large semantic technology business
initiative that leverages cloud computingo Adjunct Professor at School of Management, University
at Buffalo.
• Bina:o Has two current NSF (National Science Foundation of
USA) awards related to cloud computing:o 2009-2012: Data-Intensive computing education: CCLI
Phase 2: $250Ko 2010-2012: Cloud-enabled Evolutionary Genetics
Testbed: OCI-CI-TEAM: $250K o Faculty at the CSE department at University at Buffalo.
• Kumar:o Principal Consultant at CTGo Currently heading a large semantic technology business
initiative that leverages cloud computingo Adjunct Professor at School of Management, University
at Buffalo.
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Introduction: A Golden Era in Introduction: A Golden Era in ComputingComputing
6/2/2011 Cloud Futures 2011, Redmond, WA 4
Cloud Concepts, Enabling-Cloud Concepts, Enabling-technologies, and Models: technologies, and Models:
The Cloud ContextThe Cloud Context
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Evolution of Internet ComputingEvolution of Internet ComputingPublis
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Top Ten Largest DatabasesTop Ten Largest Databases
Ref: http://www.focus.com/fyi/operations/10-largest-databases-in-the-world/
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ChallengesChallenges
• Alignment with the needs of the business / user / non-computer specialists / community and society
• Need to address the scalability issue: large scale data, high performance computing, automation, response time, rapid prototyping, and rapid time to production
• Need to effectively address (i) ever shortening cycle of obsolescence, (ii) heterogeneity and (iii) rapid changes in requirements
• Transform data from diverse sources into intelligence and deliver intelligence to right people/user/systems
• What about providing all this in a cost-effective manner?
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Enter the cloudEnter the cloud
• Cloud computing is Internet-based computing, whereby shared resources, software and information are provided to computers and other devices on-demand, like the electricity grid.
• The cloud computing is a culmination of numerous attempts at large scale computing with seamless access to virtually limitless resources.o on-demand computing, utility computing, ubiquitous computing,
autonomic computing, platform computing, edge computing, elastic computing, grid computing, …
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““Grid Technology: A slide from my presentationGrid Technology: A slide from my presentation
to Industry (2005)to Industry (2005)• Emerging enabling technology.• Natural evolution of distributed systems and the Internet.• Middleware supporting network of systems to facilitate
sharing, standardization and openness.• Infrastructure and application model dealing with sharing of
compute cycles, data, storage and other resources.• Publicized by prominent industries as on-demand computing,
utility computing, etc.• Move towards delivering “computing” to masses similar to
other utilities (electricity and voice communication).”• Now,
Hmmm…sounds like the definition for cloud computing!!!!!
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It is a changed world now…It is a changed world now…
• Explosive growth in applications: biomedical informatics, space exploration, business analytics, web 2.0 social networking: YouTube, Facebook
• Extreme scale content generation: e-science and e-business data deluge
• Extraordinary rate of digital content consumption: digital gluttony: Apple iPhone, iPad, Amazon Kindle
• Exponential growth in compute capabilities: multi-core, storage, bandwidth, virtual machines (virtualization)
• Very short cycle of obsolescence in technologies: Windows Vista Windows 7; Java versions; CC#; Phython
• Newer architectures: web services, persistence models, distributed file systems/repositories (Google, Hadoop), multi-core, wireless and mobile
• Diverse knowledge and skill levels of the workforce • You simply cannot manage this complex situation with your
traditional IT infrastructure:
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