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UNIVERSITY OF KANSAS • SPRING 2014 • EECS811 GREEN ... · OBJECTIVE Research possible...

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GREEN COMPUTING RESEARCH PROJECT UNIVERSITY OF KANSAS • SPRING 2014 • EECS811 TEAM: GREEN SCREEN ALEX OYLER BHARATH PADMANABHAN ROB HANEY RYAN KIEFER
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Page 1: UNIVERSITY OF KANSAS • SPRING 2014 • EECS811 GREEN ... · OBJECTIVE Research possible applications of green computing: • Data center and overall energy efficiency • Disposal

G R E E N C O M P U T I N G R E S E A R C H P R O J E C TU N I V E R S I T Y O F K A N S A S • S P R I N G 2 0 1 4 • E E C S 8 1 1

T E A M : G R E E N S C R E E N

A L E X O Y L E R B H A R AT H PA D M A N A B H A N R O B H A N E Y R YA N K I E F E R

Page 2: UNIVERSITY OF KANSAS • SPRING 2014 • EECS811 GREEN ... · OBJECTIVE Research possible applications of green computing: • Data center and overall energy efficiency • Disposal

O B J E C T I V E

Research possible applications of green computing:

• Data center and overall energy efficiency

• Disposal of electronic waste and recycling

• Telecommuting

• Virtualization of server resources

• Thin client solutions

• Use of open source software

Development of new software to address green computing for internal use and potential sale to other organizations.

The budget for the project is $500,000, and the goal is to provide an extensive report, including detailed financial analysis and recommendations for which green computing technologies to implement.

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Page 3: UNIVERSITY OF KANSAS • SPRING 2014 • EECS811 GREEN ... · OBJECTIVE Research possible applications of green computing: • Data center and overall energy efficiency • Disposal

P R O J E C T I N T E G R AT I O N M A N A G E M E N T

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P R O J E C T M A N A G E R E VA L U AT I O N

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F I N A N C I A L A N A LY S I S

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P R O J E C T C H A R T E R

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P R O J E C T S C O P E M A N A G E M E N T

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R E Q U I R E M E N T S

• 20 potential project ideas

• Aggregated research for 20 potential projects

• Final project proposals 1-4

• Project presentation

• Weighted decision matrix

• Reference material collection

• Business case

• Chart data

• Financial analysis

• Project request form generation

• Use formatting standards

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S C O P E S TAT E M E N T

Page 10: UNIVERSITY OF KANSAS • SPRING 2014 • EECS811 GREEN ... · OBJECTIVE Research possible applications of green computing: • Data center and overall energy efficiency • Disposal

W B S - I N I T I AT I N G

1.1. Identify key stakeholders

1.2. Select project manager

1.3. Form project team

1.4. Develop project charter

1.5. Hold project kickoff meeting

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Page 11: UNIVERSITY OF KANSAS • SPRING 2014 • EECS811 GREEN ... · OBJECTIVE Research possible applications of green computing: • Data center and overall energy efficiency • Disposal

W B S - P L A N N I N G

2.1. Hold team planning meeting

2.2. Prepare team contact

2.3. Develop scope statement

2.4. Create WBS

2.5. Prepare schedule and cost baseline

2.6. Determine task resources

2.7. Determine task durations

2.8. Determine task dependencies

2.9. Create draft Gantt chart

2.10. Review and finalize Gantt chart

2.11. Identify, discuss, and prioritize risks

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W B S - E X E C U T I N G

3.1. Create research reports for each green computing technology

3.2. Create final report consolidating all research reports for green computing technologies

3.3. Develop 20 project ideas

3.4. Complete weighted decision matrix

3.5. Select 4 projects using WDM

3.6. Create 4 project proposals

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W B S - M O N I T O R I N G & C O N T R O L L I N G!

4.1. Create bi-weekly progress reports

4.2. Perform kill point analysis after each phase

4.3. Perform integrated change control

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Page 14: UNIVERSITY OF KANSAS • SPRING 2014 • EECS811 GREEN ... · OBJECTIVE Research possible applications of green computing: • Data center and overall energy efficiency • Disposal

W B S - C L O S I N G

5.1. Prepare final project report

5.2. Prepare final project presentation

5.3. Lessons learned

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P R O J E C T T I M E M A N A G E M E N T

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P R O J E C T M I L E S T O N E S

1. Finalizing the project team, completion of the project schedule

2. Identification of 20 potential projects

3. Selection of the four final projects

4. Completion of the final proposal

Page 17: UNIVERSITY OF KANSAS • SPRING 2014 • EECS811 GREEN ... · OBJECTIVE Research possible applications of green computing: • Data center and overall energy efficiency • Disposal

• Crashing

• Fast Tracking

• Contingency Reserve

• Budget Increase

• Schedule Increase

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C O N T I N G E N C Y S T R AT E G I E S

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P R O J E C T C O S T M A N A G E M E N T

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C O S T E S T I M AT E S

Assumptions:

A burdened labor rate of $100/hour for Project Manager, $90/hour for Teresa, James, and Le, and $80/hour for Matt. Also, $200/hour for outsourced labor.

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C O S T B A S E L I N E

Month 1: $ 27,260 Month 2: $ 27,120 Month 3: $ 40,780 Month 4: $ 68,506 Month 5: $ 90,451 Month 6: $ 85,835 Month 7: $ 21,100 TOTAL : $361,052

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P R O J E C T S TAT U S

PV: $160,000

EV: $150,000

AC: $180,000

!

CV = EV – AC = -$30,000

SV = EV – PV = -$10,000

CPI = EV/AC = 83%

SPI = EV/PV = 94%

EAC = BAC/CPI = $602,409

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P R O J E C T Q U A L I T Y M A N A G E M E N T

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Q U A L I T Y S TA N D A R D S

• Financial analysis will be performed using models programmed in MS Excel to ensure consistency, thoroughness, and accuracy

• Data for financial analysis will be explicit and traceable to source material

• All research will be based on material from peer-reviewed, professional sources

• The project report decision matrix will be programmed in MS Excel to ensure accuracy

• Sensitivity (“what-if”) analysis performed in MS Excel for a usable portrait of potential financial risk and rewards

• Monthly report delivered to Ben and Ito 3 business days before the monthly face-to-face meeting

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Q U A L I T Y T O O L - F L O W C H A R T

C R E AT I N G B I - W E E K LY P R O G R E S S R E P O R T S A N D U P D AT I N G P R O J E C T S C H E D U L E

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P R O J E C T H U M A N R E S O U R C E M A N A G E M E N T

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M Y E R S - B R I G G S T Y P E I N D I C AT O R

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M Y E R S - B R I G G S T Y P E I N D I C AT O R

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M Y E R S - B R I G G S T Y P E I N D I C AT O R

2 8

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M Y E R S - B R I G G S T Y P E I N D I C AT O R

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M B T I S U I TA B I L I T Y F O R R E S E A R C H P R O J E C T S

3 0

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3 1

R E S P O N S I B I L I T Y A S S I G N M E N T M AT R I X

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P R O J E C T C O M M U N I C AT I O N S M A N A G E M E N T

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• Team Collaboration

• Individual Strengths

• Project Milestones

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C O M M U N I C AT I O N C H A L L E N G E S

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P R O J E C T R I S K M A N A G E M E N T

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R I S K R E G I S T E R

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R I S K R E G I S T E R

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P R O B A B I L I T Y I M PA C T M AT R I X

R I S K 6

R I S K 5

R I S K 4

R I S K 2 R I S K 3

R I S K 1

Low: 1-3Medium: 4-6High: 7-10

Scale:

1. Technology not identified 2. Inaccurate final report 3. Internal support reduced 4. Too many solutions 5. Selling of product 6. Team conflicts

Risks:

Page 38: UNIVERSITY OF KANSAS • SPRING 2014 • EECS811 GREEN ... · OBJECTIVE Research possible applications of green computing: • Data center and overall energy efficiency • Disposal

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P O S I T I V E R I S K R E S P O N S E S T R AT E G Y

Positive Risk: The project team identifies more than four technologies to formalize

Response Strategy: Re-evaluate the weighted decision matrix and add additional weighting metrics in order to better identify the most valuable technologies to implement

Time Estimate: One week with 80 hours of effort

Cost Estimate: 40 hours for PM at $100/hr plus 40 hours for team member at $90/hr = $7,600

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N E G AT I V E R I S K R E S P O N S E S T R AT E G Y

Negative Risk: Internal support for the project is reduced from key executive stakeholders

Response Strategy: Project manager will begin holding regular meetings with the lead team to ensure that the project’s successes are articulated and quantified

Time Estimate: 2 hours prep and 1 hour presentation per week for project manager for remainder of project duration

Cost Estimate: 3 hours per week at $100/hr = $300/wk for project duration. For 6 months, 15 weeks = $4,500

Page 40: UNIVERSITY OF KANSAS • SPRING 2014 • EECS811 GREEN ... · OBJECTIVE Research possible applications of green computing: • Data center and overall energy efficiency • Disposal

P R O J E C T P R O C U R E M E N T M A N A G E M E N T

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P R O J E C T S TA K E H O L D E R M A N A G E M E N T

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P O W E R / I N T E R E S T G R I D

Page 45: UNIVERSITY OF KANSAS • SPRING 2014 • EECS811 GREEN ... · OBJECTIVE Research possible applications of green computing: • Data center and overall energy efficiency • Disposal

T H A N K Y O U !

T E A M : G R E E N S C R E E N

A L E X O Y L E R B H A R AT H PA D M A N A B H A N R O B H A N E Y R YA N K I E F E R


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