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This is a bit mask indicating a combination of: KDeviceAllowPhysicalDevice The LDD requires an accompanying PDD KDeviceAllowUnit The LDD accepts a unit number at channel creation time KDeviceAllowInfo The LDD accepts additional device-speci c info at channel creation time KDeviceAllowAll A combination of all of these.

Butler butler = new Butler(enters, exits); Philosopher[] phils = new Philosopher[N]; for (int i = 0; i < N; ++i) phils[i] = new Philosopher(lefts[i], rights[i], enters[i], exits[i]); Fork[] forks = new Fork[N]; for (int i = 0; i < N; ++i) forks[i] = new Fork(rights[(i + 1) % N], lefts[i]); action = new Parallel( new CSProcess[] { butler, new Parallel(phils), new Parallel(forks) }); } public void run() { actionrun(); } public static void main(String[] args) { new College()run(); } }

120 110

Once the factory object has been identi ed and its capabilities validated, the kernel calls the driver s channel factory function, DLogicalDevice::Create(). This function is responsible for creating an instance of the logical channel (derived from DLogicalChannelBase) through which all subsequent requests to the driver will be routed:

100 90 80 70 60 50

CSP has proven to be a successful approach to the design and analysis of systems that can be usefully expressed as bounded sets of identityless, interfaceless processes communicating via synchronous channels CSP was introduced in: Hoare, C A R Communicating Sequential Processes, Prentice Hall, 1985 An updated account appears in: Roscoe, A William The Theory and Practice of Concurrency, Prentice Hall, 1997 Several of the texts listed in 1 (including the book by Burns and Welling in 1254) discuss CSP in the course of describing constructs in occam and Ada Other related formalisms, design techniques, languages, and frameworks have adopted different base assumptions that adhere more closely to the characteristics of other concurrent systems and/or to different styles of analysis These include Milner's CCS and -calculus, and Berry's Esterel See:

Fig. 17.1 The conditional mean aggregate demand as a function of the age of the holding time in level 1 for Example 17.6.2.

TInt DSimpleSerialLDD::Create(DLogicalChannelBase*& aChannel) { aChannel = new DSimpleSerialChannel; return aChannel KErrNone : KErrNoMemory; }

numerical transform inversion. Figure 17.1 shows that the age plays a very important role. 17.7 RECOVERY FROM CONGESTION IN THE STEADY STATE

Milner, Robin Communication and Concurrency, Prentice Hall, 1989 Berry, Gerard "The Foundations of Esterel", in Gordon Plotkin, Colin Stirling, and Mads Tofte (eds), Proof, Language and Interaction, MIT Press, 1998 As package support becomes available for these and related approaches to concurrent system design, they become attractive alternatives to the direct use of thread-based constructs in the development of systems that are best viewed conceptually as collections of active objects For example, Triveni is an approach based in part on Esterel, and is described in: Colby, Christopher, Lalita Jategaonkar Jagadeesan, Radha Jagadeesan, Konstantin L ufer, and Carlos Puchol "Objects and Concurrency in Triveni: A Telecommunication Case Study in Java", USENIX Conference on Object-Oriented Technologies and Systems (COOTS), 1998 Triveni is supported by a Java programming language package (see the online supplement) Among its main differences from CSP is that active objects in Triveni communicate by issuing events Triveni also includes computation and composition rules surrounding the interruption and suspension of activities upon reception of events, which adds to expressiveness especially in real-time design contexts

For capacity planning, it is useful to consider the time required to recover from a high-congestion event, as well as the likelihood of the high-congestion event. The likelihood of a high-congestion event in the steady state can be estimated using a large deviation principle (LDP) approximation. The well-known Chernoff bound (e.g., see Dembo and Zeitouni [11]) gives an upper bound to the stationary tail probabilities of the aggregate level process, even for nitely many sources. By Chebychev's inequality, for all y > 0, P L t ! x e yx E eyL t e yx Y

The kernel returns a pointer to the newly created channel to the framework via a reference parameter, returning an error if it is unable to create the channel. The framework stores a pointer to the DLogicalDevice that created the channel in the channel s iDevice eld (so that its reference count may be decremented when the channel is eventually closed), and increments iOpenChannels. If the logical device speci es that it needs a PDD (indicated by the KDeviceAllowPhysicalDevice ag in iParseMask), then the kernel locates a suitable PDD factory, which is used to create the devicespeci c physical channel I will cover this in more detail in the next section. The kernel stores a pointer to the newly created physical channel in the iPdd member of the logical channel. The kernel framework will now initialize the newly created DlogicalChannelBase-derived object by calling DLogicalChannelBase::DoCreate(), passing in the information contained in the TChannelCreateInfo package supplied by the user. This is the logical channel s opportunity to validate the supplied parameters, allocate additional resources and prepare the hardware for use.