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2.3.3 Virtual Coordinates Another approach due to Ratnasamy et al. [13] involves assigning virtual coordinates to each node and then applying standard geographic routing over these coordinates. Virtual coordinates can be constructed using only local connectivity information (which is available since nodes always know their neighbors). Assuming that each node knows its own routing table (consisting of all nodes in its distance two neighborhood), the following routing algorithm can be executed. First, the packet is forwarded to the node in the routing table closest (in virtual coordinates) to the destination, if (and only if) that node is closer to the destination than the current node. Second, if the node is closer to the destination than any other node in its routing table, then the packet is considered to have arrived to its destination. Third, if a packet is neither able to make greedy progress nor has reached a stopping point, then it performs an expanding ring search until a closer node is found (or a maximum TTL has been exceeded). If such geometric coordinates are not known, then Ratnasamy et al. [13] base their algorithm on the so-called perimeter nodes (these are nodes lying on the outer boundary of the system). They distinguish and analyze three scenarios on the perimeter nodes: (a) Perimeter nodes know their location, (b) perimeter nodes know that they are perimeter nodes, but do not know their location, and (c) nodes know neither their location nor whether they are on the perimeter. In the sequel, we provide details of their construction for each of the three cases.



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1. Contact a system development program in your organization. Research how they analyzed their SYSTEM OF INTEREST (SOI), its OPERATING ENVIRONMENT, and their respective system elements. How was this analysis re ected in the SOI architecture

Kossiakoff, Alexander, and Sweet, William N. 2003. Systems Engineering Principles and Practice. New York: Wiley-InterScience. MIL-HDBK-1908B. 1999. DoD De nitions of Human Factors Terms. Washington, DC: Department of Defense (DoD).





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Benefits of this approach include significant cost efficiencies by not employing dedicated architectural staff, while still realizing most of the benefits of enterprise architecture GGU has also found that architecture stays close to the ground and is firmly ingrained into IT governance and the systems development life cycle (SDLC) As opposed to environments with separate architect and IT teams where there can be significant antagonism between the groups, the leaders of the GGU IT technical domains firmly believe in the importance of architecture and actually become frustrated when architectural directions are not clear enough This approach also avoids the ivory-tower syndrome where the architecture practice is divorced from technical IT As in environments with dedicated EA architects, IT organizations without dedicated architects should still organize the architecture roles around the core components of enterprise architecture: business architecture, technical architecture, information architecture, and applications architecture.

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One of the crucial factors of system success is determined by what happens at its internal and external interfaces. You can engineer the most elegant algorithms, equations, and decision logic, but if the system does not perform at its interfaces, the elegance is of no value. System interface characterizations range from cooperative interoperability with external friendly systems to layers of protection to minimize vulnerability to external threats (environment, hostile adversary actions, etc.) and structural integrity to ensure survivability. This chapter introduces the context of system interfaces, their purpose, objectives, attributes, and how they are implemented. Our discussions explore the various types of interfaces and factors that delineate success from failure. This information provides the basis for the next chapter, which addresses interface design and control.

Perimeter Nodes Know Their Location. In the rst case an iterative relaxation procedure is being used in order to build the coordinates of nonperimeter nodes using an analogy borrowed from the theory of graph embeddings (see Linial et al. [14]). Links are represented by forces pulling adjacent neighbors together. It is assumed that the force in the x-direction is proportional to the difference in the x-coordinates (similarly for the y-coordinates). Assuming its neighbors are held xed, then a node s equilibrium position (the one where the sum of the forces is zero) is where its x-coordinate is the average of its neighbors x-coordinates (similarly, for y-coordinates). Each nonperimeter node u = (xu , yu ) periodically updates its virtual

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