© 2007 IBM Corporation IBM Software Strategy Group IBM Google Announcement on Internet-Scale...

© 2007 IBM Corporation

IBM Software Strategy Group

IBM Google Announcement on Internet-Scale Computing(“Cloud Computing Model”)

Oct 8, 2007

IBM Google Announcement on Internet-Scale Computing(“Cloud Computing Model”)

Oct 8, 2007

IBM Confidential until Oct 8, 2007


IBM Confidential Until Oct 8, 2007 2© 2007 IBM Corporation

Joint IBM Google Announcement

IBM Almaden Research

Google

U. Of Washington

Universities participating in initial pilot

• Train future workforce with next generation computing skills

• University initiative to promote open standards and emerging parallel computing model

• Jointly provide compute platform of the future including hardware, software, and services to support new parallel computing curricula

• Three active “clouds”



Explosion in Internet Usage and Content

• IBM and Google jointly announcing an academic initiative to promote new software development methods

−Accelerate academic skills and research needed to address the challenges of internet-scale applications

• Growth fueled by global use, mobile device access and user-generated content

• New emerging architecture needed to expand the Internet to become the compute platform of the future

−From one-server, one application model to browser based parallel application model

−IBM sees opportunities for commercial offerings in cloud computing



What is Cloud Computing?

4+ billion phones by 2010 [Source: Nokia]

Web 2.0-enabled PCs, TVs, etc.

Businesses, from startups to enterprises

An emerging computing paradigm where data and services reside in massively scalable data centers and can be ubiquitously accessed from any connected devices over the internet.



Characteristics of Cloud Computing

•Virtual – Physical location and underlying infrastructure details are transparent to users

•Scalable – Able to break complex workloads into pieces to be served across an incrementally expandable infrastructure

•Efficient – Services Oriented Architecture for dynamic provisioning of shared compute resources

•Flexible – Can serve a variety of workload types – both consumer and commercial



Cloud Computing Building Blocks A massively scalable and flexible computing platform of the future, built on IBM and open source software, for hosting Web 2.0 and SOA applications.

Enabling Technologies

• Open source Linux platform

• Xen open source systems virtualization

• Automated provisioning of computing resources by Tivoli Provisioning Manager

• Systems management and monitoring by IBM Tivoli Monitoring

• Parallel computing clusters using Apache Hadoop

• Open source Eclipse-based development tools for parallel applications

Business BenefitsBusiness Benefits

• Cost efficient model for creating and acquiring information services

• Removes or reduces IT management complexity

• Increases business responsiveness with real-time capacity reallocation

• Powers rich internet applications



Cloud Computing Architecture

IBM Monitoring v.6

DB2

Provisioning Management Stack

Provisioning Manager v.5.1

WebSphere Application Server

Monitoring Provisioning Baremetal & Xen VM

Open Source Linux with Xen

Tivoli Monitoring Agent

Virtualized Infrastructure based on Open Source Linux & Xen

VirtualMachine

VirtualMachine

VirtualMachine

VirtualMachine

Data Center – System x

Apache

Cloud computing infrastructure to support the academic initiative can be delivered either as hosted or onsite solution.



Example of How the Cloud Drives Innovation

Speed time to market for new offerings by exploiting collaboration technology to co-create and gather rapid feedback on new offerings

Expand sources of innovation with a network of partners, customers, researchers, and academia

Innovation Factory

Lower barriers to IT by leveraging Cloud to provide incubation environment for new prototypes

Virtualized Cloud Incubation

Environment

Leverage Cloud’s powerful combination of Web 2.0 collaboration platform and dynamic, secure computing environment to drive business transformations.



Examples of Cloud Computing Workloads

•Web 2.0 applications

• Provide rich user experience including real-time global collaboration

• Enable rapid software development

• Software to scan voluminous Wikipedia edits to identify spam

• Organize global news articles by geographic location

• Data-intensive workloads based on scalable architectures, such as Google’s MapReduce framework

• Financial modeling, real-time speech translation, Web search

• Next generation rich media, such as virtual worlds, streaming videos, Web conferencing, etc.

• New services can be created and published via a completely integrated Eclipse-based environment



Customer View of Cloud Computing

• Governments see value in leveraging Cloud Computing technology as a catalyst for innovation and economic growth

• Accelerates creation of new service offerings

• Enabling startups, research, and new ventures with automated incubation environment for rapid prototype development

• Cultivates skills for next generation workforce

• Reinforces country’s thought leadership with first-of-a-kind innovation enablement platform



Cloud Computing Resources• A cluster of processors running open source MapReduce and

Google File System (Apache’s Hadoop project) http://lucene.apache.org/hadoop/

• A Creative Commons licensed university curriculum developed by Google and the University of Washington on massively parallel computing techniques available at: http://code.google.com/edu/content/parallel.html

• Open source software development platform to help students develop programs based on Hadoop. The Eclipse plugin is currently available at: :// . . / /http lucene apache org hadoop

• Management, monitoring and dynamic resource provisioning of the cluster by IBM Tivoli systems management software

• A website to encourage collaboration among universities in the program. This will be built on Web 2.0 technologies from IBM’s Innovation Factory. http://www.ibm.com/ / /university scholars skills



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