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As an SE, you must learn to synthesize these interactions in terms of an overall system solution. Figure 15.7 provides an illustration. Here we have a diagram that captures the high-level interactions between the SYSTEM OF INTEREST (SOI) (1), HIGHER ORDER SYSTEM (9) and the OPERATING ENVIRONMENT (14). The SOI is illustrated via a shbone diagram. We include in the diagram the system elements that are performance AFFECTER factors that must integrate harmoniously to achieve the mission objectives. In combination the SOI elements produce the SYSTEM RESPONSES (8) element, which consists of behavior, products, by-products, and services. In operation, the SOI (1) responds to command and control guidance and direction from the HIGHER ORDER systems element that consists of ORGANIZATION (10), ROLES AND MISSIONS (11), OPERATING CONSTRAINTS (12), and RESOURCES (13) system elements. Based on this direction, the SOI system elements interact with the OPERATING ENVIRONMENT and provide SYSTEM RESPONSES (8) back to the OPERATING ENVIRONMENT and the HIGHER ORDER SYSTEMS element.



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Managing for Returns on IT Investments by Mike Hugos and Joe Stenzel This book concludes with a discussion of resource decision making that ties together the ever-widening circles of IT influence from its strategic core. IT architecture, tactical agility, and strategic cost, performance, customer relationship, and outsourcing management each enable an organization to align, implement, and realize its strategic objectives. 8 demonstrates the ways that the CIO can use conventional ROI calculations to improve decision making for IT project proposals and explores new perspectives on IT investments with ways that the CIO can help other executives manage and maximize more broad-ranging, elusive organizational resources and achieve a return on intangibles. Part 1 addresses the essential elements that the CIO uses to see a conventional ROI process through from start to finish, including the joint development process between IT and Finance, a cost/potential benefit analysis, an IT ROI benefit audit, ways to weight tangible benefits, and the reapplication of anticipated resources freed up by the proposal. Part 2 explores the rapidly emerging importance of intangible IT resources from the marketplace to the boardroom. Building on intangible management best practices from IT, Human Resources, and previous chapters, this discussion addresses





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In summary, the preceding discussions provide the basis with which to establish the guiding principles that govern system interactions with its OPERATING ENVIRONMENT. Principle 15.1 System interactions with its OPERATING ENVIRONMENT during an engagement may be cooperative, friendly, benign, competitive, adversarial, hostile, or combination of these.

ietforg/rfc/rfc3168txt, September 2001 44 Sally Floyd and Van Jacobson Random early detection gateways for congestion avoidance IEEE/ACM Transactions on Networking (TON), 1(4):397 413, 1993 45 M Sugano, T Araki, M Murata, T Hatauchi, and Y Hosooka Performance evaluation of a wireless ad hoc network: Flexible radio network (FRN) In Proceedings of IEEE International Conference on Personal Wireless Communications, IEEE Computer Society, New York, 2000, pp 350 354..

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Principle 15.2 Every system responds to stimuli and cues in its OPERATING ENVIRONMENT with behavioral actions, products, by-products, services, or combinations thereof.

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46. C. E. Perkins and P. Bhagwat. Highly dynamic destination-sequenced distance-vector routing (DSDV) for mobile computers. In Proceedings of the Conference on Communications Architectures, Protocols and Applications, ACM Press, New York, 1994, pp. 234- 244. 47. T. Clausen and P. Jacquet. Optimized Link State Routing Protocol (OLSR). http://www.ietf. org/rfc/rfc3626.txt, October 2003. Experimental RFC. 48. C. E. Perkins, E. M. Belding-Royer, and S. R. Das. Ad hoc On-Demand Distance Vector (AODV) Routing. Request for Comments, http://www.ietf.org/rfc/rfc3561.txt, July 2003. Experimental RFC. 49. C. Cordeiro, S. R. Das, and D. P. Agrawal. COPAS: Dynamic contention-balancing to enhance the performance of TCP over multi-hop wireless networks. In Proceedings of the 10th International Conference on Computer Communication and Networks (IC3N), 2002, pp. 382 387. 50. K. Xu, M. Gerla, and S. Bae. How effective is the IEEE 802.11 RTS/CTS handshake in ad hoc networks In Global Telecommunications Conference, 2002. GLOBECOM 02, Vol. 1, November 2002, pp. 72 76. 51. E.-S. Jung and N. H. Vaidya. A power control MAC protocol for ad hoc networks. In Proceedings of the eighth annual international conference on Mobile computing and networking, ACM Press, 2002, pp. 36 47. 52. E. Kohler, M. Handley, and S. Floyd. Datagram Congestion Control Protocol. Internet Draft, http://www.ietf.org/rfc/rfc4340.txt, March 2006. Standards Track. 53. J. Postel. User Datagram Protocol. Internet Draft, http://www.ietf.org/rfc/rfc768.txt, August 1980. Standards Track. 54. V. Jacobson, R. Braden, and D. Borman. TCP Extensions for High Performance. Internet Draft, http: //www.ietf.org/rfc/rfc1323.txt, May 1992. Request for Comments.

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