What Customers Want the Cloud to be.Jason WaxmanGeneral Manager,Cloud Infrastructure GroupMay 30, 2012

Users DemandCompellingExperiences

Listening to Cloud Providers & Users

Range of Cloud Service Providers

With Broadest Array of OEM and ISV Collaborators

1. ODCA global member survey, Oct 2011, N=632. Gartner, Dec 2010, N=55 The Road Map From Virtualization to Cloud Computing (G00210845)

Accelerating Adoption of Cloud

Hybrid Cloud (Public + Private)

35% by 20152

Today: 14%2014: 42%

>40% of IT operations1

PublicCloud

Today: 7%2014: 23%

>40% of IT operations1

Private

Cloud

Private

CloudPublicCloud

Cloud Challenges

SecurityThreats

DeviceProliferation

Big Data

CostEfficiency

Security

Customer Security Concerns

Traditional Data Center Public & PrivateCloud Data

Center

Reduced physical controlIncreased multi-tenancyReduced effectiveness of existing security tools

1 source: McCann “what’s holding the cloud back?” cloud security global IT survey, sponsored by Intel, May 2012

Lack of visibility inhibiting private cloud adoption1

Lack of control over data key concern for public cloud

adoption1

Avoid putting workloads with compliance mandates

in cloud1

57%61% 55%

IT Pro survey of key concerns:

The Need for End-to-End Security Solutions

Secure Devices

Secure Connection

s

Secure Datacenter

s

Interoperable, Open Industry Standards

Securing the Datacenter

Real-TimeMonitoring

MalwareHardening

ComplianceReporting

Location Control

Endpoint Aware Integrity

Real-time Integrity

Security Stack Integrity

VM Integrity

Location & Asset Control

Host Integrity

External Assessmentand Reputation

Digital Certificates

Need for Greater Controls & Auditability

Drives NewHW and SW Capabilities

Optimized Client Security for Cloud Users

Identity Verification

Data ProtectionMalware Containment

Example of Collaborative Security for a Virtual Cloud World

Extended Security Policy

McAfee ePO1

Intel Trusted Execution Technology is run:

Server “known good”

Intel Trusted Execution

Technology is run: “Do not migrate to unknown server”

1 Integrating McAfee ePolicy Orchestrator (ePO) with Intel TXT requires custom integration work*McAfee MOVE AV = McAfee Management of Optimized Virtualized Environments Anti-Virus

Isolate, Protect, Control Vms

Provide Visibility & Reporting

Apply Security Policy At Multiple Control

PointsMonitor Workloads

Across Cloud Infrastructures

Virtualized and Private Cloud Data

Center

VMM

SalesMfg

HR

Public Cloud Data Center

Company C

Company B

Company A

Devices &Big Data

HEALTHCARE

MANUFACTURING TRANSPORTATIO

N

ENERGY

PC, CE, PHONES

COMMUNICATIONS

RETAILCloud 2015: 15

Billion Connected Devices1

1 “Worldwide Device Estimates Year 2020 - Intel One Smart Network Work” forecast

Device Proliferation Challenges

The Perimeter is now the User and Data

Customers Want Seamless Interoperability:

Increasing Security &Liability Risks

Services SpanRange of Devices

May 2010

May 2011

IDC information worker custom survey, sponsored by Unisys, May 2011 and May 2010 Q1 (2011); Q4 (2010

Client Aware Cloud

CA

PA

BIL

ITIE S

CO

NTEN

T

Compute

Graphics

Media

Connectivity

Security

Location

HD or SD

Flash or HTML5

Compressed or uncompressed

Secure Content & Commerce

CLOUD Balanced Compute

Personalized Services

Optimized Content

Intelligent Connected Systems

Analytics and Big Data Beyond Client Devices

What is Big Data?

Velocity

Volume

Variety

Traditional Data Big Data

Gigabytes to Terabytes Petabytes and beyond

Occasional Batch Processing Real-Time Data Analytics

Centralized, Structured i.e. Database

Distributed, Unstructured multi-format

Untapped Information

Why is Big Data Important?

US Healthcare$300 Billion in value/year

~ 0.7% annual productivity growth

Europe Public Sector250 Billion Euros value/year~ 0.5 annual productivity

growth

Global Personal Location Data

$150 Billion+ value for service providers

Up to $700 Billion value to end users

Source: McKinsey Global Institute Analysis

ManufacturingUp to 50 percent decrease in

product development, assembly costs

Big Data Solutions: Volume

Distributed Storage Architecture

Application Servers

storage client

application

Storage Servers

storageservices

Metadata Servers

metadata

services

Traditional Storage

SAN (Storage Area

Network)

Big Data Solutions: Velocity

1: Hilti Corporation case study

In Memory Analytics

Search and Analysis of 53 Million Customer Records:

From 2-3 Hours to 2-3 Seconds!1

Network Edge Analytics

Stream Processing Analysis & Decision Support Applications

Analyze data as its collected to make

near real-time decisions

110100101010

10101001101010

01010

1101001

110100101010100101010010101010010101010

110100101010100101010010101010010101010

Big Data Solutions: Variety

Structured Data

Unstructured Multi-format

Data

Distributed File System & Map Reduce Tools

Database

DataAnalytics

Tools

• Contribute code, promote development and new researchEnable the Apps

• Develop benchmarks; software optimization librariesMake it efficient

• Continued compute, network and storage innovation

Develop data center architecture

• Publish reference architecturesMake it easier to deploy

• Education, common usage models, open source standards bodies

Grow the community

Intel’s Big Data Strategy

ReducingTotal Cost

of Ownership

AUTOMATEDIT can focus more on

innovation and less on management

FEDERATEDShare data securely across public and private clouds

CLIENT AWAREOptimizing services based

on device capability

Cloud 2015 Vision

Optimized Technologie

s

Scalable Software

Optimized Systems

DatacenterOptimizatio

n

Optimized Silicon

Address ~75% of

Ownership Costs…

Servers50%

Power23%

Labor13%

Networking6%

Facilities5%

Other IT3%

Cost of Typical Major Internet Datacenter

…via optimized platforms & technologiesSource: Intel internal analysis, 2008 of 3 yr TCO

Goal of Datacenter Optimization

Energy Challenges

Age Distribution of Servers

Energy Consumptionof Servers

Performance Capability of Servers

<4 Years Old

68%

>4 Years Old

32%<4 Years Old

35%>4 Years Old

65%

<4 Years Old

96%

>4 Years Old

4%

Source: Intel analysis, 2012

Value of Time-to-Market for Cloud Difference in early deployment

Cost

per

Web T

ransa

ctio

n

Savings

~$750,000,000 Estimated Savings byAccelerating Latest Generation Servers

Previous TTM

Accelerated TTM

Source: Intel analysis, 2012

Enabling Open, Interoperable Solutions

Standards Technology Partner Solutions

* Other names and brands may be claimed as the property of others.

Learn More at www.livestream.com/cloudslam 

& www.intel.com/datacenter

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