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The realization of quality of service guarantees in a multiservice network depends more on sound traf c engineering than on the de nition of a service model allowing priority access for an unde ned number of privileged users. We have argued that the service model should facilitate traf c engineering by distinguishing two broad categories of traf c: stream and elastic. For each category, the appropriate entity for traf c management is an individual ow (e.g., one videoconference, one le transfer) and not either an isolated packet or some aggregation of ows. A tentative simple service model is based on just two traf c classes. One class destined for stream traf c is based on open-loop control and uses ``bufferless multiplexing'' with measurement-based admission control. This choice enables delay and loss rate performance guarantees, even for self-similar ows. The leaky bucket is not useful as a traf c descriptor and the only traf c parameter required here is the ow peak rate. The second service class uses closed-loop control to share bandwidth between elastic ows. We advocate a lightweight form of admission control for elastic traf c, requiring that each link identify the ows it is currently transporting. Per ow queueing would be useful to enforce fairness, or to share bandwidth more ef ciently by giving priority to short transfers, for example. In the simple bandwidth sharing models considered here, the heavy-tailed distribution of the size of transferred

documents does not adversely affect the response time performance of closed-loop control. We consider charging as a means to recover the network provider's costs rather than as a tool for congestion control. Prices would ideally be set to just ensure pro tability when the network is dimensioned to handle all the offered traf c with good quality of service. There appears no essential reason to price stream and elastic traf c differently per byte transported. Users would naturally choose the service class best suited to their quality of service requirements: low delay for stream ows, high throughput for elastic ows. We have given some indications of how traditional traf c engineering practice might be extended to a multiservice network based on the proposed simple service model. The basic principle is that transparency and throughput quality of service are assured by means of admission control acting at ow level, while the network is sized to produce a suf ciently low blocking probability.

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1 A Arulambalam and X Q Chen Allocating fair rates for available bit rate service in ATM networks IEEE Commun Mag, 34(11):92 100, 1996 2 M F Arlitt and C Williamson Web server workload characterization: the search for invariants In Proc ACM SIGMETRICS'96, pp 126 137, 1996 3 D Bertsekas and R Gallager Data Networks Prentice Hall, Englewood Cliffs, NJ, 1987 4 V Bolotin Telephone circuit holding time distribution In J Labetoulle and J Roberts, eds, The Fundamental Role of Teletraf c in the Evolution of Telecommunications Networks Proceedings of ITC 14 Elsevier, New York, 1994 5 M Crovella and A Bestavros Self-similarity in World Wide Web traf c: evidence and possible causes In Proc ACM SIGMETRICS'96, pp 160 169, 1996 6 D M Chiu and R Jain Analysis of the increase and decrease algorithms for congestion avoidance in computer networks Comput Networks ISDN Syst.

Even a stripped-down version of Java and its accompanying VM requires a fair amount of computational power in order to work. To be capable of running Card Java, a smart card must have at least 16K of readonly memory, 8K of EEPROM, and 256 bytes of random access memory. Given a Java Virtual Machine on a smart card, the number of possible new applications is mind-boggling. With an off-the-shelf (or off-the-Net) application development environment for Card Java, thousands of Java developers will be able to program smart cards. Gemplus and Schlumberger both distribute commercial Card Java environments. Of course, the memory and interface constraints of smart cards deeply affect programming style, testing concerns, and other aspects of program development. Card Java has many features familiar to Java developers, especially those developers familiar with JDK 1.0.2. Card Java includes:

The best-implemented access control methods and systems will prove useless in the long run if the relationship between the business units in the company and the IT department do not have a working relationship to determine how the end users in the various populations logging on for services are handled. The authorization policy sets the stage for that interaction between IT operations and business needs for exercising controls over the entire system enduser life cycle.

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