System Performance Analysis, Budgets, and Safety Margins in .NET

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EXAMPLE 49.1
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To illustrate this concept, refer to Figure 49.2. The left side of the graphic portrays a hierarchical decomposition of a Capability A. The SPS requires that Capability A complete processing within a speci ed period of time such as 200 milliseconds. System designers designate the initiation of Capability A as Event 1 and its completion as Event 2. A Mission Event Timeline (MET) depicting the two event constraints is shown in the top portion of the graphic. System Designers partition the Capability A time interval constraint into a DesignTo MOP and a safety margin MOP. The Design-To MOP constraint is designated as Event 1.4.
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Author s Note 49.2 Initially MET Event 1.4 may not have this label. We have simply applied the Event 1.4 label to provide a degree of sequential consistency across the MET (1.1, 1.2, 1.3, etc.). Events 1.2 and 1.3 are actually established by lower level allocations for Capabilities A_1 and A_2. As shown at the left side, the Capability A requirement is analyzed and decomposed into Capability A_1 and Capability A_2 requirements. Thus, the Design-To MOP for Capability A is partitioned into a Capability A_1 time constraint and a Capability A_2 time constraint as MOPs. Likewise, Capability A_1 and Capability A_2 are decomposed into lower level requirements, each with its respective Design-To MOP and safety margin. The process continues to successively lower levels of system items. Reconciling Performance Budget Allocations and Safety Margins. As design teams apply Design-To MOP allocations, what happens if there are critical performance issues with the initial allocations Let s assume that Capability A_22 in Figure 49.2 was initially allocated 12 units. An initial analysis of Capability A_22 indicates that 13 units are required. What should an SE do
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49
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System Performance Analysis, Budgets, and Safety Margins
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Event 1 Event 1.1 Event 1.2 Event 1.3 Event 1.4 Event 2
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Mission Event Timeline (MET) Mission Event Timeline (MET)
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Capability A Performance Constraint
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CAP A CAP A
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Capability A_1 Performance Constraint
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Design To (DT) MOP
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Safety Margin
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CAP A_1 CAP A_1
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DT MOP
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Capability A_2 Performance Constraint
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CAP A_2 CAP A_2
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Design To MOP
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Capability A_21 Perf. Constraint
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CAP A_21 CAP A_21
DT MOP Margin
Capability A_22 Performance Constraint
CAP A_22 CAP A_22
DT MOP Margin
Where: CAP = Capability DT = Design-To MET = Mission Event Timeline MOP = Measure of Performance
Figure 49.2 Performance Budgets & Safety Margins Application
Capability A_22 owner confers with the higher level Capability A_2 and peer level Capability A_21 owners. During the discussions the Capability A_21 owner indicates that Capability A_21 was allocated 15 units but only requires 14 units, which includes a safety margin. The group reaches a consensus to reallocate an MOP of 14 units to Capability A_21 and an MOP of 13 units to Capability A_22. Final Thoughts about Performance Budgets and Margins. The process of allocating performance budgets and safety margins is a top-down/bottom-up/left-right/right-left negotiation process. Within human decision-making terms, the intent is to reconcile the inequities as a means of achieving and optimizing overall system performance. Without negotiation and reconciliation, you get a condition referred to as suboptimization of a single item, thereby degrading overall system performance.
Performance Budget and Safety Margin Ownership
A key question is: WHO owns performance budgets and safety margins In general, the owner of the speci cation that contains the capabilities and physical characteristics that are allocated as performance budget MOPs and safety margins is the owner.
How are Performance Budgets and Margins Documented
Performance budgets and safety margins are documented a number of ways, depending on program size, resources, and tools. First, requirements allocations should be documented in a decision database or spreadsheet controlled by the Lead SE or System Engineering and Integration Team (SEIT). Requirements management tools based on relational databases provide a convenient mechanism to record the allocations. Second, as performance allocations, they should be formally documented and controlled as speci c requirements owed down to lower level speci cations.
49.3 Analyzing System Performance
A relational database requirements management tools allow you to: 1. Document the allocation. 2. Flow the allocation down to lower level speci cations with traceability linkages back to the higher level parent performance constraint.
49.3 ANALYZING SYSTEM PERFORMANCE
The preceding discussion introduced the basic concepts of performance budgets and design safety margins. Implementations of these Design-To MOPs are discussed in engineering textbooks such as electronics engineering and mechanical engineering. However, from an SE perspective, integrated electrical, mechanical, or optical systems have performance variations interfacing with similar EQUIPMENT and PERSONNEL within larger structural systems. The interactions among these systems and levels of abstractions require in-depth analysis to determine acceptable limits for performance variability. At all levels of abstraction, capabilities are typically event and/or task driven that is, an external or time-based stimulus or cue activates or initiates a capability to action.