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Qualitative third-party design review can help determine if what is proposed by vendors for purchase is at least current technology and efficient if not state-of-the-art for similar implementations For those organizations new to the concepts and discipline of information systems architecture as a tool to rationalize what can otherwise become an outof-control spiral of technology and costs, this is the prime means to get a grasp on expenses and increase the benefit derived from the technology For those entities that are already heavily investing in the practice, a renewed focus can bring ever-smaller elements under the purview of the process to solve current challenges..

off Proof. Denote with An Dc;n , Cn cln , use E Cn An eLEt c r =L and apply Theorem 10.3.1. j

In the next theorem, under more general assumptions, we obtain a tight lower bound for the uid queue asymptotics with M =GI =I arrivals (see Jelenkovic and Lazar [35]). For this uid queue we denote its queue content process as QI . It was t conjectured [35] that the following bound represents actually the exact asymptotics. Theorem 10.4.17. then Let r EAtI;s LrEton < c. If r r > c, and ton P ir, P QI > x Lr t : ! P ton > u du c r x= r r c

Copyright 1999 Gary McGraw and Edward Felten. All rights reserved. Published by John Wiley & Sons, Inc.

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10.4.3.4 M=G=I Approximation: Simulation Results. Based on Theorems I 10.4.16 and 10.4.17, it is suggested that the queueing probabilities obtained by multiplexing N long-tailed on=off processes ait ; 1 i N , are approximated as P QN > x % t

As difficult as successfully creating a visionary set of planning documents for an organization s information technology and systems architecture might be, it may turn out to be the easy part of the systems architecture process. The first two sets of documents outline the existing condition and the desired (target) architecture. Much detailed documentation is necessary to bridge the gap between the current condition and the desired or target state. Compare this point in the process to building a magnificent house. The architects and engineers have seen the land and interviewed the homeowners, taking abundant notes to find out what they want in their new home and how they plan to use it. Now it is time for the architect to create the shape of the living space, begin writing specifications, make materials choices, and do preliminary product selections. If only the discipline and practice of information systems architecture were that easy! Regrettably, IT architecture is nearly always a more complicated set of details than that necessary for the construction of even very large building projects. The difference between the two is, of course, their dimension. A building is physical and can easily be seen and touched. An IT architecture is abstract.

sely, if increasing the data rate results in a decrease in throughput (ie, dg=dl < 0), then exponentially decrease the data rate In general, condition dg=dl < 0 can be replaced by various measures of congestion Of course, dif culties arise because Eq (184) is, in reality, a delay differential equation (the feedback loop incurs a time lag) and the sign of dg=dl needs to be reliably estimated The latter can be implemented using standard techniques 18412 Unimodal Load-Throughput Relation One item that needs further explanation is throughput g.

CHAPTER SECTIONS: 1 / 2 / 3 / 4 / 5 / 6 / 7 / 8 / 9

``Throughput'' (in the sense of goodput) can be de ned in a number of ways depending on the context, from reliable throughput (number of bits reliably transferred per unit time when taking into account reliability mechanism overhead), to raw throughput (number of bits transferred per unit time), to power (one of the throughput measures divided by delay) Raw throughput, denoted n, is both easy to measure ( just monitor the number of packets, in bytes, arriving at the receiver per unit time) and to attain (in most contexts n n l is a monotone increasing function of l, eg, M =M=1=n), but it does not adequately discriminate between congestion controls that achieve a certain raw throughput without incurring high packet loss or delay and those that do.

For example, achieving reliability using automatic repeat request (ARQ) with nite receiver and sender side buffers requires intricate control and coordination, and high packet loss can have a severe impact on the ef cient functioning of such controls (eg, TCP's window control) In particular, for a given raw throughput, if the packet loss rate is high, this may mean that a signi cant fraction of the raw throughput is taken up by duplicate packets (due to early retransmissions) or by packets that will be dropped at the receiver side due to ``fragmentation'' and buffer over ow Thus, the reliable throughput associated with this raw throughput=packet loss rate combination would be low How severely packet loss impacts the throughput experienced by an application will depend on the characteristics of the application at hand.

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