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8561 Second mile costs and market characteristics The costs that we have accounted for in our economic model are only the loop infrastructure costs and data link layer networking costs However, when services are provisioned over this infrastructure, there are expected to be signi cant costs related to transporting voice, video and data services to the CO from regional nodes These costs are known as second mile costs (the FTTH network being the rst mile ) Second mile costs vary tremendously, depending on the location of the community being served Evidently, second mile costs are expected to be lower for urban communities and can be suf ciently high for certain rural communities or small towns that competition may not be feasible, regardless of the choice of architecture An examination of second mile costs is an important next step for this research Community characteristics, such as housing density, have implications for cost, as local loop lengths are directly related to housing density The community size determines the number of homes that a particular CO can serve Since our cost models indicate scale economies in FTTH deployment, smaller communities would have higher per home passed (or served) costs Consequently, a smaller community would be likely to support a lower number of service providers The income distribution of a community, and thus the market demand for services, also has implications for viability of competition in a particular market

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When you create a new semaphore object, you must always specify an initial and maximum count In the C re a t eSema p h o r e APIs, this is accom plished with l I n i t i a l C o u n t and IMa x i mumCo u nt, respectively, while Sem a p h o re's constructors offer i n i t i a l C o u n t and m a x imumCo u n t parameters As noted in the introduction to this section, a semaphore is signaled so long as its current count is non-O The initial count given is the semaphore object's current count once it has been created, and the maximum count will ensure any attempts to increment the semaphore's count above the maximum number will fail (The maximum is inclusive: that is, it is legal for a semaphore to take on the value of its maximum) For obvious reasons, the initial count may not be greater than the maximum As with mutex objects, if you try to create a new semaphore with the same name as an existing semaphore kernel object on the machine, the resulting reference will refer to the existing semaphore rather than a new one In such a case, G et L a s t E r r o r will return E R RO R_A L R E ADY_EXISTS for C r e a t eSema p h o r e or C re a t eSema p h o r e E x, and the c re a t ed New output parameter for the managed S e m a p o h o re's constructor will be set to false This situation is not nearly as important to check for as with mutexes because the calling thread doesn' t "own" the semaphore, but it does mean the specified counts will have been ignored This may or may not be a prob lem for your code; it depends on the situation.

Windows XP thread pool has, by far, the worst performance of the bunch Though the difference between Vista and XP appears small in this graph, in reality, the XP thread pool only provides 1 2 percent of the callback throughput of Vista We will conclude by looking at some scaling numbers We compare the execution time of running N tasks each comprising of C cycles on a single thread versus queuing each of the N tasks to run on the P thread pool threads, where P is the number of processors on the machine Each of the threads will receive N /P tasks and, for each one, run C cycles' worth of sim ulated work In all measurements, we show the CLR 20 SPI and Windows Vista thread pools side-by-side, and, in all cases, prime the pools to ensure we don't measure the cost of lazily allocating the threads In summary, the single threaded case will execute in roughly O(NC) time, while the thread pool case will execute in O(Q + (CNS) / P), where Q is the overhead that results from using the pool (we measure the calls to

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