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This method is suitable for dense networks to prevent congestion since they have to wait till the dissemination interval to publish r Reactive Dissemination In reactive dissemination, nodes publish only when there is a prede ned amount of change to the reputation values they store or when an event of interest occurs This method mitigates the communication overhead in situations where there is not frequent updates to the reputation values However, reactive dissemination may cause congestion in dense networks with.



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Requirements derivation focuses on decomposing a higher level objective or capability into lower level supporting capabilities that can be translated into design requirements. On the surface this appears to be a mundane process in which each requirement leads to the next. As you derive lower level requirements closer to the ASSEMBLY/CSC level, there is another method you can employ to ensure that all aspects of a capability are derived. You should recall our discussion of 22 on the Anatomy of a System Capability. Figure 22.1 illustrated the basic construct for a generic capability. The point is that you should consider using this gure to facilitate some of the deliberations of requirements derivation, especially at lower levels such as development speci cation levels for SUBSYSTEMS or lower, as appropriate.





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Three DEFINE-DESIGNBUILD sequences ran in parallel to create new subsystems to respond to opportunities that appeared after the project breakthrough. This resulted in version 2.0 of the system.

The cornerstone for developing speci cation requirements resides in the integrity of the requirements allocation, ow down, and traceability.

Requirements allocation, ow down, and traceability can be illustrated by a simple construct such as the one shown in Figure 32.4. For this illustration, let s assume that the SUBSYSTEM A Development Speci cation includes use case based capability requirement A_11. The requirement speci es and bounds a capability to input, process, and display data. SEs perform a use case analysis and construct a use case thread that characterizes HOW this capability can be accomplished. This way they manage to obtain the required performance-based outcome. Based on the analysis, they translate each of the use case steps into Capability Requirements, A_111, A_112, and A_113. This illustration provides insights for deriving capability requirements within a speci cation. Now, suppose that we have a SYSTEM level requirement that must be implemented ACROSS several SUBSYSTEMs, each with its own development speci cation.

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high network activity, or cause the system to stall if network activity is especially low. In both of these types of information dissemination, the communication overhead can be mitigated to a large extent by piggybacking the information with other network traf c. For example, in CORE the reputation information is piggybacked on the reply message, and in DRBTS it is piggybacked on the location information dispatch. Dissemination locality can be classi ed into two types: r Local: In local dissemination, the information is published within the neighborhood. It could be through either a local broadcast, a multicast, or a unicast. In DRBTS [1], the information is published in the neighborhood through a local broadcast. This enables all the beacon nodes to update their reputation table accordingly. Other models may choose to unicast or multicast, depending on the application domain and security requirements. r Global: In global dissemination, the information is sent to nodes outside the range of the publishing node. Like local dissemination, global dissemination could use one of the three publishing techniques: broadcast, multicast, or unicast. For networks with node mobility, global dissemination is preferred because this gives nodes a reasonable understanding of the new location they are moving to. Content of information disseminated can be classi ed into two types: r Raw. The information published by a node is its rst-hand information only. It does not re ect the total reputation value, which includes the second-hand information of other nodes in the neighborhood. Disseminating raw information prevents information from looping back to the originator. r Processed. The information published by a node is its overall opinion of the nodes in its reputation tables. This includes information provided to the node by others in the neighborhood.

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