Cloud Computing (Brief Client Briefing Research & Univ Oct 2009 en UK)

October 2009 – Page 1 | © 2009 IBM CorporationSmarter Planet – Dynamic Infrastructure – cloud computing

Moisés Navarro Marín ([email protected])Member, IBM Technical Experts Council

Services provisioning evolutionSmarter Planet – Dynamic Infrastructure – cloud computing

http://www.ibm.com/cloud

October 2009 – Page 2 | © 2009 IBM CorporationSmarter Planet – Dynamic Infrastructure – cloud computinghttp://www.ibm.com/smartplanet

GREEN AND BEYOND

SMART WORK

NEW INTELLIGENCE

DYNAMIC INFRASTRUCTURE


As the world gets smarter, demands on IT will grow

Smart traffic systems

Smart water management

Smart energy grids

Smart healthcare

Smart food systems

Intelligent oil field technologies

Smart regions

Smart weather

Smart countries

Smart supply chains

Smart cities

Smart retail


By 2011, the world will be 10 times more instrumented then it was in 2006. Internet connected devices will leap from 500M to 1 Trillion

2005 2006 2007 2008 2009 2010 20110

200

400

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es RFID,Digital TV,

MP3 players,Digital cameras,

Camera phones, VoIP,Medical imaging, Laptops,

smart meters, multi-player games,Satellite images, GPS, ATMs, Scanners,

Sensors, Digital radio, DLP theaters, Telematics,Peer-to-peer, Email, Instant messaging, Videoconferencing,

CAD/CAM, Toys, Industrial machines, Security systems, Appliances

10xgrowth infive years

Approximately 70% of the digital universe is created by individuals, but enterprises are responsible for 85% of the security, privacy, reliability, and compliance.Approximately 70% of the digital universe is created by individuals, but enterprises are responsible for 85% of the security, privacy, reliability, and compliance.


It’s time to start thinking differently

about infrastructure.

Infrastructure needs to become more dynamic.


5. Security

6. Transformational Hybrid Systems

Fine-grained, Risk Adjusted Security

Transformative Enterprise Computing

Foundations

3. Services Quality

4. Cloud

Leadership in Service Excellence

Opportunities beyond Infrastructure

Business Decisions

Services

2. Data to Smart Decisions

1. Digital EconomyNew Value Vehicles

Consumability of Analytics


Nowadays, when providing services, users demand:

– An improved end user experience (higher quality, faster response, transparency, robustness,…)

Nowadays, when providing services, service providers demand:

– Dynamic capabilities for services provisioning (addressing aggressive changes in demand)

– Efficiency (operational, economical, ecological).

So this is what the new services provisioning model is addressing:

– Improve the end user experience (higher quality, faster response, transparency)

– Strengthen the services delivery automatically addressing aggressive changes in services demand

– Be focused on efficiency.


1990

2008

Software as a Service

Utility Computing

Grid Computing

Cloud Computing


Measurement & Billing

Fast provisioning

Flexible pricing Elastic

scaling

Advanced virtualization

Standardized offerings

Demand based on Services Catalogue Energy

efficiency

Automation

Public Cloud “external sourcing”

■ Managed and owned by a provider

■ Access based on subscription

Standardization

Capital preservation

Flexibility

Time to deploy

Private Cloud “internal sourcing”

■ Managed and owned by the company

■ Access defined by the company

Customization

Efficiency

Security & Privacy

Availability


users

Services catalogue

Portal

Elastic scalability

IT Infrastructure

Demand based on a

standardized services

catalogue



1. I have virtualized my IT infrastructure, am I a cloud user?

2. I can forsee demand

3. I have outsourced my IT, am I a cloud user?

4. I have these app’s in the net… are they cloud based?

5. I want to use the idle cycles in my corporate desktop fleet

6. …

Measurement & Billing

Fast provisioning

Flexible pricing Elastic

scaling

Advanced virtualization

Standardized offerings

Demand based on Services Catalogue Energy

efficiency

Automation


85% idleIn distributed computing environments, up to 85% of computing capacity sits idle.

Explosion of information driving 54% growth in storage shipments every year.

1.5x

70cents./1€70% on average is spent on maintaining current IT infrastructures versus adding new capabilities.

Up to 80% in cost savings

Up to 60% in energy savings

CAPEX oriented

Virtualization

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Private Cloud

Public Cloud

35%Energy consumption due to servers will increase by 35% in the next 4 years.


Desktops & Devices

Application development & testing

IT Infrastructure

Business Services

CollaborationAnalytics


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IBM – Google Academic Alliance (since October 2007)

• Promotes open standards & Hadoop massive parallel computing model

• Jointly provide compute platform of the future using IBM Blue Cloud

• Supported by the National Science Foundation: $4.95M in grants issued to 14 schools

Benefits• Trains students with next generation

computing skills• Promotes advanced research & learning

activities• Allows users to tap into massive

computing resources not previously available

• Allows workload optimization (search engines, video, audio, 3D Internet, …)


NSF (National Science Foundation) created the CluE (Cluster Exploratory) programme for the academic research community

It’s one of the biggest cloud computing environments (+1100 servers – 800TBytes)

~40 participant universities by the end of 2009 +1000 users (students – researchers) by the end of 2009 9 new awards by NSF in 2009

Projects:• Inverted Index• PageRank on Wikipedia • Clustering NetFlix Movie Data• Language Modelling in the Clouds• Large-data Statistical Machine Translation• Collective Resolution of Identity in Email Archives• Parallel Automatic Text-Background Separation in Picture Books • Large-Scale Network Analysis to Improve Retrieval in the Biomedical Domain


Hachiouji, Tokyo We are working with Computer Science Major

http://www.teu.ac.jp/english/departments/010616.html

http://www.teu.ac.jp/english/


Programming classes BEFORE CLOUD:

– Long way to begin to study

– download eclipse

– setting up environment

– create project

– import sample code, etc.

– Exercise code is on PC

– Teacher can’t review until students’ submit.

– No collaboration on exercise.

WITH CLOUD IN 2010:– Education environment for programming

– WebSphere sMash Developer Edition - AppBuilder

– Automated provisioning & load balancing

Education as a Service (EaaS)– Education is done only on the cloud

– Student can begin study in 10 minutes.

– Programming environment for exercise on the cloud.

– Test environment for exercise on the cloud.


Carnegie Mellon University at Qatar, Qatar University, Texas A&M University in Qatar

• Cloud Programming Model Education• Arabic Language Search Engine• Migration of scientific application to cloud paradigm• Seismic modeling and Exploration for Oil & Gas• Oil & Gas Integrated Production Operation

University of Pretoria• Shared by students of the Computational Intelligence

Research Group (CIRG)• Leverages Apache Hadoop and MapReduce• Will run advanced Computational Intelligence algorithms

Kyushu University• Research platform for distributed massive data

processing• Dynamic provisioning of Hadoop parallel computing

environments



Cloud Computing (Brief Client Briefing Research & Univ Oct 2009 en UK)

Education

cloud computing environment

cloud user

analytics cloud

private cloud public

cloud leadership

services demand

storage computing

computing work