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Assuming that future network contention is predictable with a suf cient degree of accuracy, there remains the question of what to do with this information for performance enhancement purposes. The choice of actions, to a large measure, is constrained by the networking context and what degree of freedom it allows. In the traditional end-to-end congestion control setting, the network is a shared resource treated as a black box, and the only control variable available to a ow is its traf c rate l. In this chapter, the target mechanism to be improved using predictability is the performance loss stemming from conservative bandwidth usage during the linear increase phase of linear increase=exponential decrease congestion control algorithms [26]. Feedback congestion control protocols, including TCP, implement variants of this basic control law due to well-established stability reasons. In Kim [26], however, it was shown in the context of TCP Reno that the asymmetry stemming from linear increase after exponential back-off ends up signi cantly underutilizing bandwidth such that, in some situations, a simple nonfeedback control was shown to be more effective.2 Given that linear increase=exponential decrease is widely used in congestion control protocols including TCP, we seek to target the linear increase part of such protocols such that, when deemed bene cial, and only then, a more aggressive bandwidth consumption is facilitated. This selective application of aggressiveness, when coupled with predictive capability, will hopefully lead to a more effective use of

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Some deviation to create the minute details first might be OK or even desirable under certain circumstances, but skipping part of the documentation altogether would be like building a house with no roof to keep the rain out or with no doors to enter and exit Creating the architecture documentation is difficult but necessary work to build IT systems to quality standards and provide a basis for the management and operation of them over time Changes, upgrades, and new applications all become easier when you are working from satisfactory documentation More important, the documentation serves to enforce a level of discipline on everyone working any facet of IT operations Implementing and maintaining adequate system security protection profiles and access controls is arduous at best and impossible at worst without sufficient documentation.

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2 This potential problem was also recognized in Jacobson's seminal paper [24] which, in part, motivated TCP Taboe's Slow Start feature.

9 J Beran Statistics for Long-Memory Processes Monographs on Statistics and Applied Probability Chapman and Hall, New York, 1994 10 J Beran, R Sherman, M S Taqqu, and W Willinger Long-range dependence in variablebit-rate video traf c IEEE Trans Commun, 43:1566 1579, 1995 11 E Biersack Performance evaluation of forward error correction in ATM networks In Proc ACM SIGCOMM '92, pp 248 257, 1992 12 D R Cox Long-range dependence: a review In H A David and H T David, eds, Statistics: An Appraisal, pp 55 74 Iowa State University Press, Ames, 1984 13 M Crovella and A Bestavros Self-similarity in World Wide Web traf c: evidence and possible causes In Proceedings of the 1996 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, May 1996 14 M E Crovella and A Bestavros Self-similarity in World Wide Web traf c: evidence and possible causes IEEE=ACM Trans.

import java.applet.AudioClip; import java.awt.*; public class NoisyApplet extends java.applet.Applet implements Runnable { Font msgFont = new Font("TimesRoman", Font.PLAIN, 36); Thread noisethread = null; // thread to run sound in Image jackImage; Image offscreenImage; Graphics offscreenGraphics; AudioClip bark; // sound file variable // the init() runs to set things up public void init() { // first, set up the picture jackImage = getImage(getCodeBase(), "jack+waldog.jpg"); offscreenImage = createImage(this.size().width, this.size().height); offscreenGraphics = offscreenImage.getGraphics(); // then load the audio file bark = getAudioClip(getCodeBase(), "bark.au"); } // the start() method runs whenever you enter the // applet's page. it also runs after init() public void start() { // start a thread to run the audio clip in if (noisethread == null) { noisethread = new Thread(this); noisethread.start(); } } // the stop() method runs when you exit // the applet's page public void stop() { if (noisethread != null) { // uncommenting the following 2 lines will stop // the sound

Networking 5, 835 846,1997 15 M Crovella and L Lipsky Long-lasting transient conditions in simulations with heavytailed workloads In Proc 1997 Winter Simulation Conference, 1997 16 N G Duf eld, J T Lewis, N O'Connel, R Russell, and F Toomey Statistical issues raised by the Bellcore data In Proc 11th IEE Teletraf c Symposium, 1994 17 N G Duf eld and N O'Connell Large deviations and over ow probabilities for the general single server queue, with applications Math Proc Cambridge Philos Soc 118: 363 374, 1995 18 N Duf eld and W Whitt Control and recovery from rare congestion events in a large multi-server system Queueing Syst, 26:69 104, 1997 19 N Duf eld and W Whitt A source traf c model and its transient analysis for network control Stochastic Models, 14:51 78, 1998 20 A Erramilli, O Narayan, and W Willinger.

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