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When developing portable systems, it is best to isolate all the platformdependent code into separate modules that can be selected at compile time or at run time. These modules can then be rewritten for each target platform. This method is better than using conditional compilation for a given section of code because preprocessor directives affect code readability and complicate testing procedures. Using separate compilation modules for isolating platform-dependent code explicitly identi es future porting work. When maintaining the code, you will make fewer errors if you have to work on the platformdependent modules when you need to make changes, rather than working on a section of code in a platform-independent module that could have side effects on other platforms. Isolating platform-dependent code also helps to keep the platform-independent code portable when you decide

where p is the probability of congestion indication at the update step. Since the time between update steps is about 1=x D T=W, the expected change in the rate x per unit time is thus approximately W m 1 m .1 p/ 2m p x2 W D 2 .1 p/ p T T=W 2m T Motivated by this calculation, we can model MulTCP by the system of differential equations d mr mr xr .t/2 X xr .t/ D 2 C j .t/ ; r 2 R ; (10.17) 2 dt 2m r Tr Tr j: j2r where Tr is the round trip time for the connection of user r, and where j .t/ D p j .t/ is again given by equation (10.10) and viewed as the probability that a packet produces a congestion indication signal at link j. Note that if congestion indication is provided by dropping a packet, then the sum on the right-hand side of equation (10.17) approximates the probability of a packet drop along a route by the sum of the packet drop probabilities at each of the links along the route. To ensure xr .t/ remains nonnegative, let us interpret the left-hand side of (10.17) as zero if the right-hand side is negative and xr .t/ is zero. It can be shown that p XZ P X 2m r s: j2s x s xr Tr arctan p p j .y/ dy (10.18) U.x/ D Tr 2m r 0 r j is a Lyapunov function for the system of differential equations (10.17), which have stable point mr xr D Tr P 2.1 pr pr / 1=2

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Note: Choosing to enter one market in one language and localized logistics and legal support or an international language market without such adaptation is one of the rst decisions that you will be asked to make. There are arguments for both approaches on both the cost and the time-to-market ledgers. Many companies start with the universal variants and incrementally add individual country support as the business case justi es.

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ABOUT THE AUTHORS Ritu Chadha is Chief Scientist and Director of the Policy Management research group in Applied Research at Telcordia Technologies, where she has been working since 1992. She was the program manager for the U.S. Army CERDEC DRAMA (Dynamic Re-Addressing and Management for the Army) project, which focused on the design, prototyping, and eld demonstration of a policybased network management system for mobile ad hoc networks. She is also the Chief Engineer for Telcordia s Future Combat Systems (FCS) Network Management System project and is responsible for delivering Policy Management, FCAPS functionality, QoS, and Mobility Management for FCS. Dr. Chadha is a well-known expert in the area of policy management and has published over 50 refereed papers in journals and conferences. She was part of the IETF and DMTF teams that created the Policy Framework standards, and she co-authored IETF RFC 3460 [Moore, 2003], which describes exten-

1. A SSUMPTIONS AND S TEREOTYPES . One explanation for disparities in care relates to the assumptions held by health providers about racial and ethnic groups. Race-based health research and practice reveal a series of dubious assumptions and negative pro les of African American and other patients of color that lead to inferior medical treatment. Medicine sometimes attaches characteristics to particular racial and ethnic groups, and physicians

Performance Summary: Long Trades Total Net Profit Gross Profit Total # of trades Number winning trades Largest winning trade Average winning trade Ratio avg win/avg loss Max consec. Winners Avg # bars in winners Max intraday drawdown Profit Factor Account size required ($2,087.50000) $37,987.50000 14 4 $13,687.50000 $9,496.87500 2.36978 2 93 ($20,537.50000) .94791 $20,537.50000 Open position P/L Gross Loss Percent profitable Number losing trades Largest losing trade Average losing trade Avg trade (win & loss) Max consec. losers Avg # bars in losers ($2,125.00000) ($40,075.00000) 28.57% 10 ($5,662.50000) ($4,007.50000) ($149.10714) 5 29

We can now tie together the implementation of leaves (in terms of standard C++ exceptions) and the cleanup stack.11 When a leave occurs:

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