Cost/Performance Roadmap
SRR Issue Description

Cost/Performance Analysis Approach

Baseline Cost Allocation (Preface to Tradeoffs)

Cost Tradeoff Analysis
	Operations Staffing Options
	Evaluation of increased processing/storage requirements of tall-pole products
	Processing vs Storage
Cost/Performance Issues Heard at SRR
SRR presented cost drivers with no relative cost sensitivity information

Cost models too conservative about the likely advances in computing technology

Costs seem too sensitive to floating-point operations required for product production  

Cost constraints are more likely in populations of users and the rates that they may be served

Need to know relative cost of various functions to make priority tradeoffs
Cost/Performance Analysis
Cost/Performance Roadmap
Cost Allocation
Cost allocations based upon historical models, modified for evolutionary development, 
and intensive negotiations
	Evolutionary development
-	Prototyping effort
-	Out-year allocation to accommodate change

Presented as aid in doing cost sensitivity analysis
Cost Allocation of Negotiated Baseline (Total Program)
Total Program = $766M
Cost Allocation Backup Information (Total Program)
Out-Year Allocation to accommodate change
	Effort allocated post 98
	Includes Science Office, engineering, developmenteffort to evolve system based on user 
feedback, technology enhancements
	Includes amount for COTS evolution 

Engineering Studies
	Effort used to support special studies, analysis and development
	Data migration support
	Allocation on task direction from ESDIS

University Research
	Educational research for prototyping in areas of user interfaces, data access and 
management  and other key technologies
	University research in area of software reuse processes

Cost Allocation of Negotiated Baseline (Development Labor)

Development Labor = 27 % of Total Program = 27% of $766M = $207M
Cost Allocation Backup Information (Development Allocation)
System Engineering
	Requirements / external interface analysis
	System architecture/design/operations concept
	System modelling
	Life cycle cost analysis
	DAAC engineering liaisons
Segment Development (SDPS, CSMS, FOS)
	Segment engineering
	Design, code and checkout
	Segment integration & test
Science Office
	Science user interface for requirements understanding
	Algorithm Integration & Test Support
	DAAC science liaisons

Cost Allocation of Negotiated Baseline (M&O)
M&O = 34% of Total Program = 34% of $766M = $260M
Cost Allocation of Negotiated Baseline (DAAC Operations Support)
DAAC Operations Support = 74% of M&O = 74% of $260M = $192M 
DAAC Staffing Examples
Cost Allocation of Negotiated Baseline (COTS by Type)
COTS = 14% of Total Program = 14% of $766M = $107M
Cost Allocation of Negotiated Baseline (COTS by Component)
Cost/Performance Roadmap
Reduced DAAC Operations Options
Baseline:
	Three 8 hr Shifts, 7 days/week (full functionality at all times)

Alternatives:
	Two Shifts (prime time = 16 hours/day, 7 days/week)

	Extended Day Shift (prime time = 12 hours/day, 7 days/week)

	Day Shift (prime time = 8 hours/day, 5 days/week)

Options during non prime time:
	Reduced Staffing (Limited functionality)
	No Staffing (Lights out operations)
Potential Savings as % of DAAC Operations Support
 (Through Oct 2002)
24 Hr Shift Positions at DAACs
Human Interface vs Automation
Cost/Performance Roadmap
Analysis of Requirements for Tall Pole Products
Analyzing latest product survey that reflects increase in processing and storage/distribution 
requirements

	Currently evaluating 6 tall pole products from Processing perspective  (2 MODIS, 4 
MISR)
-	Determining impacts for various processing architectures
-	Also evaluating impacts of storage requirement increases
	Working with science teams
-	Evaluating and understanding estimation processes
-	Evaluating applicability of parallel processing architectures for algorithms
-	Working on plans for joint evaluation of algorithms prototypes on different processing 
architectures (Networked Workstation prototype using Parallel Virtual Machine (PVM) 
product planned for STL)
	Plan future analysis of complete product survey in 1st quarter 94

Tall Pole Products
Price/Performance Curves
Mini-Super Price/Performance
Tall Pole Processing Impact
Archive & Storage Curves
Tall Pole Storage & Archive Impact
Conclusions of Tall Pole Analysis
With expected significant decreases in price/performance for processing technology, 
purchase commitments should be delayed as long as possible
In near-term, expect price/performance of processing to decrease much faster than storage 
technology
	Implies periodic evaluation of process vs storage decisions
	Previous programs indicate need for processing capacity almost always increases over the 
life of the program

If processing capacity of MPP architectures can be effectively utilized it may be the proper 
solution
	Expect additional development effort
	Possible use of network or cluster workstation architecture may be more effective

Cost/Performance Roadmap
Options for Standard
Product Generation
Issues Affecting Process vs Storage
Product Requirements
Processing Load vs. 5-year Storage Volume
Cost Leverage (Single Product)
Current Views and Recommendations for Process vs Storage
Future Plans
Complete analysis of new product survey in 1st quarter 94

Develop system model used to perform detailed sensitivity analysis
	Required processing, caching, archive and communication bandwidth
	Determine expected system response for various service requests
	Determine impacts of user/data modeling input
	Perform more complete analysis of process vs storage trade

Plan to have initial system model developed during first 6 months of 94 to support system 
architecture/design analysis