Terena IBM Cloud Computing

(1)

Terena – IBM Cloud Computing

Pol Mac Aonghusa

CTO

IBM Emerging Business Incubation Center

Dublin, Ireland

(2)

IBM in Ireland is driving IBM leadership in Cloud

Computing

Center Charter

• Worldwide Cloud delivery infrastructure

• Deep skills and resources

• Research – IBM & Partner

DUBLIN, IRELAND and ARMONK, N.Y, March 19, 2008

'Today IBM (NYSE: IBM) and the Industrial Development Agency of Ireland (IDA Ireland)

announced the establishment of Europe’s first Cloud Computing Center.'

"IBM's European hub for Cloud Computing highlights Ireland’s role as

an important contributor to IBM's global research, development and

innovation strategy.”

– Micheál Martin TD, Minister for Enterprise, Trade and Employment

“This new facility and the cloud computing model, the wealth of talent

at IBM's software lab in Ireland will be accessible to not only the rest of Europe, but Africa and the Middle East

as well."

– Steve Mills, Senior Vice President and Group Executive, IBM Software Group.

(3)

3

Dublin is part of a network of IBM Cloud Centers around the World

Seattle, WA

San Jose, CA _{US, East Coast} _{Wuxi, China} Dublin, Ireland

South Africa

Hanoi, Vietnam Bangalore, India

São Paulo, Brazil

Seoul, S Korea Beijing, China

(4)

Fast growth of connected devices & users

Cloud Computing – a computing platform for the Universe of Things

A “cloud” is an IT delivery infrastructure with:

• Virtualization of hardware & software

• A simple interface for scheduling & provisioning resources • Support to create optimised service level policies

• Standards for defining, managing & inter-operation of multiple clouds

“By 2012, 80% of Fortune 1000 enterprises will use some Cloud Computing services”

- Gartner

Skyrocketing utility costs Exponential growth of

processing & storage demands

Demand for higher efficiency Optimised load-balancing policies Standardization & Interoperability Complex collections of hardware & software Scale rapidly and simply in a

(5)

5

2000: IBM BCRS

2000: UDDI 1.0; “SaaS” coined 2001: Dot com bubble bursts

2005: IBM AoD

2006: Amazon EC2

2007: Google Health; force.com launch 2008: IBM ww Cloud Computing centers

Cloud Computing is the culmination of a long term trend to simplify access to IT Services

1990: Berners-Lee invents the World-Wide Web 1994: CommerceNet

1998: RosettaNet

1999: i-Mode mobile internet 1961: John McCarthy proposes computing as a utility

1961: IBM Services Bureau

1975: First inter-industry EDI standards

2010

1980 1990 2000

1981: SMTP defines the standard electronic mail service 1985: United Nations sponsors EDIFACT

1970

IBM Service Bureau (1961)

(6)

Cloud Computing Logical Architecture

IBM System z, p, x, BladeCenter Storage Networking

Physical Hardware

Virtualization

Virtual Storage Virtual Application Server Virtual Application Server Virtual Application Server Virtual Networks Virtual Servers

Workloads

Innovation Enablement Software Development Virtual Classroom Web 2.0 Data Intensive Processing Scalable Transaction Processing

Request Driven Provisioning

Monitoring SLA

Capacity Planning

Dynamic Scheduling

(7)

Cloud - Hosting Software Development

China Cloud Computing Center

• New Enterprise Data Center built by IBM

for municipal government of Wuxi, China

• Eleven parks across China for software

development

• Accelerates transformation to a

service-led economy

Benefits

• Fast deployment of Rational software

development environments

• Up to 200K software developers, 100

companies

• Cost efficient shared infrastructure

Virtualization

Physical Hardware

Workloads

Request Driven Provisioning

Company A Dynamic Scheduling Monitoring Virtual Application Server Virtual Application Server Virtual Application Server; Company B CompanyC

Securely isolated development and test environments

(8)

Cloud – Enabling Virtual Classrooms

Google/IBM Academic Initiative

•Promote open standards & Hadoop

parallel computing model

•Jointly provide compute platform of the

future Benefits

•Trains students with next generation

computing skills

•Optimizes emerging Internet scale

workloads such as search, video, audio, 3D Internet, machine learning, mobile computing

Virtualization

Physical Hardware

Workloads

Request Driven Provisioning

Stanford Dynamic Scheduling Monitoring Virtual Application Server Virtual Application Server Virtual Application Server; Carnegie Mellon University of Washington

(9)

9

Page 9

Steps towards cloud computing – IBM Blue Cloud

SOA, Cloud Service

Management, Ensembles, … Abstraction and Pooling Multi-System Virtualization Virtual Servers, Storage, Networks Storage Servers Networks V V V Scale-Out Sprawl Windows Servers Linux Servers Unix Servers Management Servers Switches Storage Firewalls, Routers Physical Consolidation Windows Server Linux Server Mainframe or Unix Server Networks Storage V V V V V

Reduce complexity and management overheads, increase efficiency

Ensemble

 An ensemble is a pool of like systems that is manageable as a single system

– It integrates compatible networked systems, virtualization, and management functions – It scales from few to 1000’s of nodes, while having management complexity and cost

like that of a single system – essentially independent of the ensemble size

We are here Complex

Shared network delivered services

(10)



_Google



_{Amazon, Yahoo, eBay, …}



_IBM:

– Blue Gene supercomputer

– System z Parallel Sysplex, up to 32 nodes

– SVC cluster (IBM TotalStorage San Volume Controller)

– XIV Nextra (IBM acquisition – clustered SAN solution)



_{Incremental Value of Storage Ensembles}

– Autonomic management

functions: (provisioning /

de-provisioning, tuning, alert exception handling..)

–

Improved staff

efficiency

, business

adaptability

for

competitive advantage, position for cloud computing

Some existing ensembles

(11)

11

The storage challenge…where to next?

 _{Growth in stored data will continue to rise exponentially ...}

– “Mankind will generate more information in the next 3 years than it did in all

the previous 300,000 years”

 _{How will we manage all this data?}

Virtualization and cloud computing with autonomic management is a

key part of the solution

2005 2006 2007 2008 2009 2010 CAGR

E-mail 269 423 673 1,119 1,512 3,553 68%

Database 222 386 639 1,102 2,062 4,073 79%

Unstructured 2,295 3,272 4,784 7,180 11,501 19,580 54%

(12)

Segmentation of (Storage) Clouds

Product v/s Services

 _{Arms provider offerings}

 _{Storage as a Service} offering – Public – Private (Hosted or On-Premise) Standalone v/s Integrated  _{Standalone/Direct}

– Provides data storage,

access and transfer

interfaces, that are directly used by the consumer. e.g. GTS Virtual Storage Cloud Service proposal

 _{Integrated with a “storage”}

consumer

– E.g. Storage Ensemble

integration with Server Ensemble for image

deployment / Management

– E.g. Google Gmail, Docs

integration of storage

Functionality

 _{Data hosting, data}

access, data protection

 _{Content Delivery}

 _{Database storage}

service

(13)

Static, dedicated, outsourced Network-delivered, off-premises Shared, automated, dynamic

Providing knowledge-enablement technologies that break the linear relationship between revenue and headcount, and exploit crowdsourcing.

As a composer and integrator, using deep customer knowledge to design composite cloud solutions that combine disparate information.

As a business platform provider, establishing industry-specific / standard cloud platforms through which customers can develop and offer their services. Providing leading development and management technologies for overcoming the potential complexities/ downsides of clouds.

As a systems innovator, using cloud technologies to help solve “out-of-space, out-of-power” and lower costs.

(14)

Research Topics in Cloud Computing

• XTP – eXtreme Transaction Processing

– Today = ‘kiloCloud’ ~104 – 105 ensemble objects

– 2010 > ‘megaCloud’ … ~ 106 – 109 ensemble objects

– Advanced storage & data management

– Strong on parallel programming in a non-critical model

• Mission critical applications require robust & resilient

‘pseudo-serial’ processing model

• New architectures to exploit massive scalability of Cloud

– Data intensive grid processing on Cloud – Stream processing

– True virtualization of software – for example - multi-tenancy! – IPC in a mega or tera Cloud cluster!

(15)

15

Current Research Topics in Cloud Computing

• Device Management

– Explosion in Real World Aware devices – producing & consuming data

• Nokia estimates there will be 4+ billion phones by 2010

– Streaming data versus traditional data management

• Internet 2008 exabytes (1021 bytes) • Internet 2010 zettabytes (1021 bytes)

– Advanced techniques required for mass back-end & front-end device management

– Complex ensemble management

• Scalable Security Services (in the Cloud)

– Consistent security & profiling services from device -> edge -> workload – Must be dynamic & persistent across provisioning ensembles

(16)

Cloud Computing and Storage

• Storage Research Challenges

– Advanced caching algorithms

– Advanced functions for high end disk arrays

– Archiving

– Cloud computing – storage ensembles

– Massive scaling

(17)

17

Example R&D in Cloud: Managing Complex

Ensembles

 _{Image Management}

– Virtual image Management for pre-built software stacks, distribution, deployment, licensing,

maintenance, archival and service/ support

 _{Model based solution creation}

and composition tool

– A tool to allow administrator to quickly assemble solutions from ready-made building blocks and pre-built templates

 _{Isolation & connectivity management}

– Extend isolation beyond the hypervisor boundary to networks of virtual resources

 _{Scalability and optimization}

– integrated management and optimization of Ensembles

– Performance, availability & power management

Image Repository Image Manager Image Creation Tool Deploy Pre-configured Building Blocks Server Ensemble Manager Server Ensemble Manager Storage Ensemble Manager

Physical Servers Physical Ensemble Storage Ensemble B2 A1C2 B1 C1A3 A2C3 B3 A4C4 Virtual Resources Virtualization Platform Virtualization Platform Virtualization Platform Virtualization Platform Virtualization Platform Virtualization Platform Virtualization Platform Physical Resources

Terena IBM Cloud Computing