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Mode of Operation An abstract label applied to a collection of system operational capabilities and activities focused on satisfying a speci c phase objective. Phase of Operation Refer to de nition provided in 16 System Mission Analysis. State of Operation The operational or operating condition of a SYSTEM OF INTEREST (SOI) required to safely conduct or continue its mission. For example, the operational state of an aircraft during take-off includes architectural con guration settings such as wing ap positions, landing gear down, and landing light activation. State A condition or mode of existence that a system, component, or simulation may be in; for example, the pre- ight state of an aircraft navigation program or the input state of given channel. (Source: IEEE 610.12-1990) State Diagram A diagram that depicts the states that a system or component can assume, and shows the events or circumstances that cause or result from a change from one state to another. (Source: IEEE 610.12-1990) State diagrams are also called state transition diagrams. State Machine A device that employs a given con guration state to perform operations or tasks until conditions or an external triggering event causes it to transition to another con guration state. Triggering Event An external OPERATING ENVIRONMENT stimuli or cue that causes a system to initiate behavioral response actions that shift from a current mode to a new mode of operation.



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To facilitate your understanding of system phases, modes, and states of operation, let s establish their context using the entity relationship framework shown in Figure 19.1. Author s Note 19.1 The following description depicts the results of a highly iterative analysis of system phases, modes, and states that may be very time-consuming, depending on system com-

s L(s)

Allows 1 .. *

Factor in probabilities for the (1) quantities of unit sales and activity cost drivers for each segment and year, (2) churn date, (3) credit events, (4) etc. and calculate and sum!

Required by 1 .. *

(11.1)

Applicable to Applicable to Allows 1 .. *

Part of Part of May Consist of 2 .. *

(if applicable)





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where source rates x = {xs } are the optimization variables, link capacities {cl } are the constant parameters, L(s) denotes the set of links l in the path originated from source s, and the utility Us for each source can be any increasing, concave function. However, in this standard form of network utility maximization framework, the link capacities {cl } are assumed to be constant, which is not true in wireless ad hoc networks where the transmission power control can change the attainable data rates on the links. Intuitively, a proper power-level algorithm would allocate the right amount of power at the right nodes to alleviate the bandwidth bottlenecks by increasing capacity on the appropriate links, which will then induce an increase in end-to-end TCP throughput. What complicates this approach is that changing the transmit power on one link would affect the data rates available on other links, due to interference in wireless networks. With this intuition, the network utility maximization framework can be modi ed to t into the wireless ad hoc network with elastic link capacities:

Supports Consists of 1 .. *

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intimidating, Exhibit 612 recasts key elements of the equation into a more comfortable spreadsheet view The equations basically quantify the price less cost for the expected purchased volume of each product or standard service line less the cost-to-serve (including the cost-to-maintain) These costs are calculated for each customer (or more manageable for each customer segment), and then factored for probabilities Assumptions and forecasts with uncertainty are involved with calculating CLV Even with customers segmented, forecasting models can be quite sensitive to assumptions for each segment For example, how long will an active customer continue the relationship How much and when will an active customer spend If a customer is inactive, is it temporary or did they switch to a competitor If they switched, what and how much are they purchasing from a competitor They may spend $100 with you, but $500 with your competitor.

Accommodates 1 .. *

Us (xs ) xs cl (P)

Supported by 1 .. *

Abstracted into 1 .. *

l L(s)

May consists of 1 .. *

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