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2.63-$2.73 An Open Cloud Ecosystem The Gathering Storm Pete Malcolm CEO

Abiquo keynote

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This is the keynote presentation that the Abiqio CEO, Pete Malcolm, presented at the SySCon 2010 Cloud Computing Conference.

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Page 1: Abiquo keynote

2.63-$2.73An Open Cloud EcosystemThe Gathering Storm

Pete MalcolmCEO

Page 2: Abiquo keynote

History

1980 1990 2000 2010

1983: Novell, Inc

Local Area Network

1990: Tim Berners-Lee

World Wide Web

1999: VMwareWorkstation

2006: Amazon Web Services

2000: Salesforce.com

Launched

Cloud

VMware$2.63-

$2.73 Bn

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History

• 27 Years of Client/Server Computing• 20 Years of Internet Computing• 11 Years of Virtualization 1.0• 10 Years of “Cloud”

• Phenomenal, unprecedented growth of computing applications

• Same old IT Infrastructure management model

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Infrastructure Management

• Physical Datacenter Risks– Procurement– Standards– Interference– Expertise

• Virtual Datacenter Risks– Interference– Exceeding Resource

• IT Provisions all resource, physical and virtual

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Virtualization 1.0 Issues

• Virtual Machine Sprawl– Overwhelming growth/volume– Disconnected IT Infrastructure Team

• High Provisioning Effort– Lack of agility

• Poor Capacity Planning and Utilization– Failure to deliver cost savings

• Security/Compliance– Segregation and risk limiting adoption

• Vendor Lock-In– High purchase cost– Very high maintenance cost

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Contention

The unprecedented growth of both applications, and their complexity,

renders the current IT infrastructure management model unsustainable.

The model must evolve.

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Vision

• ‘Top Down’ Strategic• Vendor Neutral• Non-Proprietary• Solution vs ‘Cool Technology’• No Buzzwords

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Vision

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Foundations

Separation

Delegation Allocation

Multi-Tenancy Workload Policy

ImageLibraries

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Separation

• Resource Cloud Providers– Local– Remote– IaaS– Hosting Providers

• Resource Cloud Consumers– Enterprises– Datacenters– Appliances– Virtual Machines, Storage and Networking

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Delegation

Virtualization 1.0 Management Model

Virtualization 2.0 Management Model

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Policy Based Allocation

• Functional– Hypervisor– Resources

• Corporate Standards– Data Security– Compliance /Segregation– Cost

• Operational– Overloading

• Enterprise Preferences– Performance– Resilience

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Stakeholders

• IT Infrastructure Team– Controls provision of resources to the Resource Cloud– Maintains physical infrastructure– Purchases additional resource as required– Ensures service levels are met– Creates Virtual Enterprises and sets Resource Limits

• Virtual Enterprise Administrators– Control consumption of Resource Cloud– Manage Enterprise Users– Manage/Delegate Virtual Datacenter Management

• CIO– Dictates Workload Policy

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Benefits

• Reduced IT Infrastructure Load– Focus on physical infrastructure & service levels– Drop ‘disconnected’ virtual machine management– Eliminate deployment risk– Standardization maintained– Capacity planning becomes a reality

• Increased Agility– On demand VM deployment in seconds– Temporary projects, “what/if” scenarios

• Increased Utilization– Enforced resource limits encourage efficiency

• Security/Compliance– Policy based workload allocation

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Resource Use Cases

• Enterprise Datacenters– Centralized Management– Elasticity

• Local physical infrastructure• Remote physical infrastructure• Purchased resource

• Development Teams– Rapid Deployment and Flexibility

• Hosting Providers– Sell Virtual Enterprises– Sell Resources

• SMEs

– Fully Cloud Located

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Extensions

• Billing and Chargeback– Allocated Resources– Consumed Resources

• Brokered Resource Provision– Standards– Resource Marketplace– Dynamic Load Shifting

• Active Load Monitoring

• Energy Efficiency– Dynamic Resource Power Control

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Conclusion

Separation

Delegation Allocation

Multi-Tenancy Workload Policy

ImageLibraries

ResourceCloud

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Questions

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www.resourcecloud.info