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Power Management

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Technology TRL

(1-

9)

Expected

Year TRL

7

Strength/

Weakness

Critical

Barriers/Gaps

Action (Watch/

Leverage/Invest)

Rationale

Adiabatic

processing

2 2025

(optimistic)

Can reduce processing

power requirements by

90% . Currently very

little hardware exists.

Implementation of

Computer

architectures in

reversible logic

structures, and its

successfulcommercialization

Invest Power

management

is most easily

realized

through

powerreduction;

computation

requirements

will only

increase over

time.

Components that

are power aware

6-7 2015 Not used as much at it

should be used but

missing the Power

Manager to orchestrate

the whole concept.

See:

http://www.pmbus.org/

Cost, availability,

architecture to

profit from this

technology

Invest Smart

components

that can

interact with

other

component

and Powermanager their

power

requirements

Software

application and

software

components that

are power aware

6-7 2015 Not used as much at it

should be used, a

question of knowledge

of the capability and

missing the Power

Manager to orchestrate

the whole concept

Proper design

tools and

compilers exist

but are not really

used.

Invest Application or

software

component

specifying

their power

requirements

that would be

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Added by SSTRM-CRTSS ADMIN, last edited by Mariane Huard on Feb 22, 2011 (view change)

powerelectricalmobiles_classificationnergie_classificationdatabatterymanagementcontrolintelligence_classification

reconnaissance_classificationsensors_classificationrenseignements_classificationcommunications_classification

computer_classificationenergynetworkordinateur_classificationmobile_classificationpower_classificationenergy_classificationalimentation_lectrique_classificationsurveillance_classificationcapteurs_classification

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orchestrated

by a Power

Manager.

Dynamic Power

Management

7-8 2015 Not used as much at it

should be used, a

question of knowledge

of the capability, Add

complexity, really needto have a distributed

capability to manage

power

Technology needs

to be used,

adapted to soldier

system and needs

more data onpower cycle,

usage, timing, to

be able to create

a data corpus to

have the Power

Management

software to use a

learning capability

to predict when to

save or not

power. An

architectural

standard must be

defined to permit

future

development

Invest A tandem of

Dynamic

Power

Manager that

use learningtechniques

and a

simulator

capable of

predicting the

power usage

through out a

mission

creating

adapted

power usage

policies would

be the best

way to ensure

a 25% power

save.

Labels:

Date Modified: 2010-08-11

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