Cloud Computing For Intelligence And Defense V6

Adapting Cloud Computing for

www.appistry.comThe Fabric of Business

Adapting Cloud Computing for Intelligence and Defense

Scaling Performance, Managing Power

September 2008

Defense, Intelligence Community Mission Drivers

The DoD vision for net-centric operations and warfare:

• Scalable Net-Centric Computing

• Establish processes and an online mechanism for customers to directly

provision a virtual operating environment on demand within minutes

to meet ad hoc, real time warfighter needs.

• Establish a capability for applications to dynamically scale computing


• Establish a capability for applications to dynamically scale computing

resources up and down on demand to meet traffic loads.

• Enterprise Computing

• Move toward the concept of virtual or grid computing in which

applications will utilize available computing capacity irrespective of

geographic location.

http://www.disa.mil/strategy/

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DoD Information Sharing Strategy

This DoD Strategy establishes the vision for the future:

Deliver the power of information to ensure mission success through an

agile enterprise with freedom of maneuverability across the

information environment.

To achieve the vision, this Strategy describes four goals that form the

necessary environment across the DoD. These goals are: (1) promote,


necessary environment across the DoD. These goals are: (1) promote,

encourage, and incentivize sharing; (2) achieve an extended enterprise; (3)

strengthen agility in order to accommodate unanticipated partners and

events; and (4) ensure trust across organizations.

John Grimes, DoD CIOhttp://www.defenselink.mil/cio-nii/docs/InfoSharingStrategy.pdf

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Appistry EAF: Technology Infrastructure To Enable Sharing

DoD Information Sharing Strategy:

Goals3) Strengthen agility, in order to accommodate

unanticipated partners and events (scale, surge,

adaptive technologies)

Approaches

www.appistry.comThe Fabric of Business 4

2) Forge information mobility (processing of

information)

3) Make information a force multiplier through

sharing (volume, velocity)

http://www.defenselink.mil/cio-nii/docs/InfoSharingStrategy.pdf

Appistry: Enhancing the Information Sharing Value Chain QOS


http://www.defenselink.mil/cio-nii/docs/InfoSharingStrategy.pdf

Meeting the need

• On-demand infrastructure

• Virtualization

• Cloud computing

• Enabling Scale - Application and Power


• Enabling Scale - Application and Power

• Enabling Mission Resilience and Reliability

• Hiding Development and Operational Complexity

• Minimal Infrastructure Impact

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Cloud offers an emerging commercial best

practice for application/service delivery

based on the Google/Amazon model:

• Incrementally scalable

• Agile & adaptive

Cloud as Platform: Characteristics


• Agile & adaptive

• Reliable and fault-tolerant

• Programmable

• Virtualized

• Self-managing

• Commodity infrastructure

A “Google-Like” Platform for Applications

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Adapting commercial best practices to Federal

Public

Cloud

Public Clouds

E.g.

• GoGrid

• Google AppEngine

• Amazon EC2


Enterprise

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• Amazon EC2

Public

Cloud

Adapting commercial best practices to Federal

Private (Internal) Clouds

• Cloud characteristics

• Behind the firewall

• Secure networks

• Data, applications don’t

leave the enterprise


Enterprise

Private Cloud Private Cloud

External

Internal

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leave the enterprise

• Leverages existing

investment in blades,

virtualization

Seamless piece of the puzzle

Services and Applications

?


Commodity

Infrastructure

Virtual Machines

Commodity

Infrastructure

Commodity

Infrastructure

…

Virtual

Machines

Virtual

Machines… Virtual

Machines

Virtual

Machines…

?

Cloud Technology Stack

Appistry EAF: Cloud Application Platform

Services and Applications


Commodity

Infrastructure

Virtual Machines

Appistry EAF: Cloud Application Platform

Commodity

Infrastructure

Commodity

Infrastructure

…

Virtual

Machines

Virtual

Machines… Virtual

Machines

Virtual

Machines…

No disruption of your existing server and virtualization investments

Cloud Computing In Your Operational

Environment

• Logical extension to your existing, heterogeneous

computing infrastructure

• A quality of service supplement to your existing

heterogeneous infrastructure

• Reduce risk, improve mission availability


• Scale without fail

• Compute within pre-defined time windows

• Correlate power consumption to application workload

• When to deploy to the Cloud Application Framework?

• When applications, key algorithms or SOA services require

the processing power of multiple CPU’s in order to meet

surges in demand and other SLA parameters.

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Seamlessly Integrating the Technology

• Appistry Quick Start - 5 well defined steps

• Assign infrastructure to cloud application framework

• Identify services and capabilities that require scale and

reliability quality of service provided by the fabric.

• Add meta data to place services in the cloud


• Add meta data to place services in the cloud

• Use the Appistry libraries to call the services within the

cloud

• Measure performance, adjust infrastructure as required to

meet service level agreements

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Appistry Quick Start Enables:

• People

• Train your operations staff to create, deploy and support the cloud

infrastructure; deploy energy management policy

• Train your developers to cloud-enable their applications and call them

• Process


• Adopt procedures for, adding and subtracting infrastructure from the

fabric, determining which applications benefit from the QOS benefits of

the cloud

• Technology

• Retain your current heterogeneous, virtual and physical architecture

• Add meta data to your applications, services or algorithms

• Use Appistry libraries to call cloud enabled Applications and Services

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Appistry EAF ArchitectureM

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De

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Dynamic / Distributed Load BalancingCloud

Application

Middleware

Application

Components

Java

POJO

.NET

PONO

Legacy External

(Web)

Service

Process Orchestration Batch Scheduling

…


Any Cloud

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Ma

na

ge

me

nt &

Mo

nito

ring

Self-Organization (Discovery, Availability)

De

plo

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efin

ition

& E

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Tomcat

Cloud

Package

Management

Apache IIS JBoss Mule …

FAMCloud Services

FAM

Queues…

Solution Value• Scale Application Performance

• Scale SOA services and existing applications

• Scale applications across multiple CPUs (2-1000’s)

• Logically isolate processing without creating physical stove pipes

• Create Operational Efficiencies

• Achieve QOS of HA (High Availability) solutions on existing commodity infrastructure

• Monitor and control license distribution within the fabric

• Use fabric metadata to dynamically restore high-value capabilities under cyber-attack


• Isolate and pre-provision dynamic COI’s (Communities of interest)

• Hot plug-in of server resources

• Reduce Operational And Program Risk

• Distribute transparently

• Reduce application IOC (Initial Operational Capability) to FOC (Full Operational Capability),

development time , scaling for FOC usually gets in the way

• No need to re-perform security accreditation; applications are cloud-enabled via meta data

• Reduce Power Consumption (Scale Power Utilization)

• Performance based power management, defined by user policy

• Correlate power consumption to data center workload

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Scaling SOA

• Improve Mission Availability

• Reducing application down time due to hardware failure

• Completing processing within pre-defined time windows

• Maintain Required Service Availability And Performance

Objectives

• During high demand


• During peak demand

• Unanticipated demand

• Reduce Costs

• Utilizing existing commodity hardware infrastructure

• Streamlining operational processes to deploy based on performance

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Leading-edge enterprises looking for advanced platforms to support XTP requirements should consider grid-based application platforms when their major concern is scale-out scalability, and nearly 100% availability for transactional and analytical applications- Gartner -

Compute Intensive Activities

• Image, data compression/decompression

• Encryption/decryption

• Image processing

• Scheduling, logistics planning

• Search


• Search

• Matching (data mining, business intelligence)

• Simulation

• Parallel computations (matrix calculations, Fourier transforms, spectral and signal analysis)

• Pattern recognition

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Case Study:Decreasing development complexity for a high-volume image processing application

Challenges:

• Multi-core / SMP development complexity

Appistry EAF at GeoEye

Data Process Result

The leading provider of satellite imagery for

government and commercial applications, GeoEye is building its next-generation image processing applications on Appistry EAF.


• Multi-core / SMP development complexity• Risk, cost and agility of traditional platforms• Meeting customer SLAs

Results:

• Imaging applications now able to process in excess of 5 TB of satellite imagery per day

• Developers able to focus on core competencies• Capital savings greater than $1.2 million• Easily meet customer requirements for

maximum processing time

“ By relying on the application fabric to provide scalability, reliability and manageability, we can leave our infrastructure concerns behind and focus on providing maximum value to our customers. ”

– Ray Helmering,

VP Photogrammetric Engineering at GeoEye

Case Study:Cloud-Enabled Logistics Solution

Data Process Result

Customer: Leading Transportation Services Provider Worldwide

• 2+ Million Stops• 60,000 Employees• 2,000 Developers

Application:


Challenges:

• Bringing strategic application to market quickly• Supporting existing application code• Ensuring predictable request execution

Results:

• Application deployed in one day• Predictably processes all shipments in

required timeframe• Application to save tens of millions of dollars

per year

Application:Mission-critical logistics planning application

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Gartner Says

• Appistry in the visionary Magic

Quadrant for Enterprise Application

Servers, 2Q08 - Strengths

• Leading-edge, grid-based application Platform

(Appistry Enterprise Application Fabric (EAF))

targeting transactional and analytical

applications


• High-profile, large scale (more than 400 CPU

cores in one case) and business-critical

deployments in large, Global 2000 class

companies

• Support for .NET and Java environments

• Aggressive “razor and blade” strategy (Appistry

Open distribution) based on free Appistry EAF

use (development, testing and production) and

sales of add-ons for managing large scale

deployments and infrastructure energy savings

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Energy Consumption Projections

“50 Percent of Data Centers

Will Have Insufficient Power and Cooling Capacity by

2008”


“The energy use of the nation’s servers and

data centers in 2006 is estimated to be more

than double the electricity that was consumed

for this purpose in 2000… Under current

efficiency trends, national energy

consumption could nearly double again in

another five years”

Google’s U.S. Data Center Locations and Placement Criteria

Operating costs drive

Google data centers to the

center of country


• Large volumes of cheap electricity.

• Green energy. Focuses on renewable power sources.

• Proximity to rivers and lakes. They use a large amount of water for cooling

purposes.

• Large areas of land. Allows for more privacy and security.

• The distance to other Google data centers (for fast connections between data

centers).

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Power Transmission Geography Constrains and Dictates Choices


The National Security Agency plans

to put a data center in San Antonio,

Texas - 3rd in the nation for

operational cost efficiency -

U.S. Rep. Charlie Gonzalez

March 2007

Power and Cooling: Mission Critical Constraint For Intelligence and DoD

NSA electricity crisis gets Senate scrutiny - Baltimore Sun, January, 2007

• NSA expects its power demands to exceed its supply within the next two

years - an issue it has been aware of since the late 1990s. NSA Director Lt.

Gen. Keith B. Alexander has acknowledged the problem

• The NSA’s impending electricity shortfall is "sort of a national

catastrophe," Sen. John D. Rockefeller IV, the chairman of the Senate


catastrophe," Sen. John D. Rockefeller IV, the chairman of the Senate

Intelligence Committee

Power supply still a vexation for the NSA - Baltimore Sun, June, 2007

• Referring to the NSA's power shortage. "It got to a point where it became

a serious problem. We're attempting to deal with it now.” Rep. C.A.

Dutch Ruppersberger, Maryland Democrat, House Intelligence

Committee

Trend: BRAC (Base Realignment and Closure) consolidations and physical

security considerations condense data centers into burdened power grids;

NGA, DISA, etc.

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Security Need: Disrupt The TrendRelocating Data Centers Is Not a Sustainable Model


State-of-the- art All measures in “Best practice” scenario, plus: • Aggressively consolidate servers • Aggressively consolidate storage • Enable power management at data center level of applications, servers, and equipment for networking and storagehttp://www.energystar.gov/ia/partners/prod_development/downloads/EPA_Datacenter_Report_Congress_Final1.pdf

Appistry: Scaling Power Without Fail

Performance-Based Power Management

A user policy based, application-aware approach to

power management ensuring the highest levels of

application performance while minimizing

infrastructure power consumption.


infrastructure power consumption.

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“In a typical data center, electricity usage hardly varies at all, but application load varies by a factor of 3x or more.”

-Rocky Mountain Institutehttp://www.govtech.com/gt/312792

Appistry Energy Saver

Correlates power

consumption to

data center workload

Fabric Technology Enables Performance-Based Power Mgmt

Appistry Energy Saver:

Decoupling applications

from infrastructure:� Application performance,

reliability ensured by fabric

“The chief performance attributes of data

centers - availability, reliability and sheer

horsepower (performance) - are at odds with

the conservation-based assumptions of

sustainability”

Suggestion 9: When not in use, turn it off

How to Cut Data Center Energy Consumption, May 2008


reliability ensured by fabric

� Utilizes your existing

infrastructure – does not require

a complete hardware refresh

� Within user defined policy,

Appistry knows what to turn on

and off, and when

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How to Cut Data Center Energy Consumption, May 2008

3. EnergySaver dynamically

2. EnergySaver compares current

system performance to policy

targets set by administrator

Appistry Energy Saver Scales Power

1. EnergySaver constantly

monitors system

workload


3. EnergySaver dynamically

adjusts number of active

computers

Appistry EAF + EnergySaverAppistry EAF + EnergySaver

Application AApplication A Application BApplication B Application CApplication C

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Result: data center power

consumption correlates to

application workload

Customer Scenario: GeoEye

The leading provider of satellite imagery

for government and commercial use.

Input Process Output

• New satellite, GeoEye-1, with

unprecedented resolution

• Image importance, processing

varies based on tasking,

coverage


coverage

• Appistry EnergySaver will

reduce number of “on” CPUs

when satellite is looking at

ocean!

Appistry EAF at GeoEye

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Customer Scenario: Clearent

Fast-growing credit-card payment

processor.

Input Process Output

• Fabric-based applications for

authorization (online) and

settlement (batch)

• Batch settlements have

stringent completion-time


stringent completion-time

SLAs requiring additional

compute power

• Appistry EnergySaver will

automatically bring on

additional capacity, when

needed

Appistry EAF at Clearent

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Appistry Customers/Partners


For More

Sam Charrington <[email protected]>

VP Product Management & Marketing

http://www.appistry.com/blogs/sam

http://twitter.com/samcharrington


Dan Wilbricht <[email protected]>

Director of Federal Programs

direct: 703-318-0930

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The Green Grid OpportunityDECREASING DATACENTER AND OTHER IT ENERGYUSAGE PATTERNS

Gartner analysts advise

enterprises to make the

most efficient use of

existing systems with

technologies such as

workload balancing and


workload balancing and

virtualization, and to plan

for greener datacenter

designs in the years ahead.

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http://www.thegreengrid.org/gg_content/Green_Grid_Position_WP.pdf