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The preceding example generated two CIF (common intermediate format) streams and one QCIF (quarter common intermediate format) stream in both the RealMedia and WindowsMedia formats With a fast enough machine, one also could do one high-quality, high-bandwidth video stream of 640 480 at 30 fps for users with high-speed connections, a stream of 320 240 at 15 or 30 fps for midspeed users, and finally a stream of 160 120 at perhaps 75 fps for modem connections Audio sample rates for each of these streams also can vary from 48-kHz/16-bit stereo down to 8-kHz mono Encode one or more streams in multiple streaming formats while running another application that grabs individual frames at longer intervals for archival or logging purposes or even captures, and achieves an avi uncompressed master stream to disk At the same time, another application runs and acquires CC data for logging or streaming text purposes All this occurs on a single machine from a single device

Wholesale deadlock prevention is not always possible Often we can instead detect when one has occurred To determine whether deadlock has happened requires construction of a wait graph, which simply exposes the dependencies between those waiting for locks and those that already hold locks of interest Wait graphs are great debugging aids for tracking down how deadlocks have occurred, and some real systems can use them to break deadlocks Relational databases, for example, allow developers to query and update tables, requiring locks of various kinds But a single query can require multiple locks: SQL uses a hierarchy of locks (tables, pages, rows), and a query may span multiple of any of those units Calculating the whole lock set is not always possible, and asking the programmer to do so is more burdensome than is warranted Instead, most databases detect deadlocks when they occur and respond by choosing a victim, killing the victim's transaction (undoing any uncommitted actions) and permitting other transactions in the system to proceed An application must code for this cir cumstance, the most common response of which is to retry the operation Similar approaches clearly won' t work well for general purpose pro gramming environments Threads that have accumulated locks are not

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transactional and, therefore, can' t b e aborted i n the middle o f execution without the risk of corrupting state Closed systems could be developed with an awareness of deadlock detection, but this technique is not broadly useful Although deadlock detection isn't a great way to respond at runtime to deadlocks, it is a very useful diagnostics tool It's relatively straightforward to write a wrapper on top of your favorite locking primitive that, when a deadlock is suspected, performs a complete deadlock detection algorithm for tracing purposes The algorithm for detecting such a deadlock is basic and can be used in many settings The trick is figuring out how to plumb your favorite synchronization primitives so that a wait graph can be con structed when necessary A wrapper type can be used (as shown by Stephen Toub in his MSDN Magazine NET Matters column, [see Further Reading) ), the CLR hosting APls can be used to hook blocking events (as I did in a pre vious MSDN Magazine article [see Further Reading, Duffy, April 2006)), and the new Windows Vista Wait Chain Traversal (WCT) APls can be used (for native locks only-they don't currently support managed code) In this section we will take a look at a sample deadlock detection algo rithm in addition to the WCT APls, but won't build a fully capable dead lock detecting lock For this, please refer to one of the aforementioned MSDN Magazine articles

2 A list of which locks certain threads are currently waiting to acquire So, the first step in enabling creation of a wait graph is to track this information Once a deadlock is suspected, we can use these two things to build a graph Building a graph is not cheap, as it requires tracking the aforemen tioned information, inspecting many shared data structures (depending on the specific mechanisms you've used to track the information), and involves a loop that is O(N) where N is the size of the longest possible wait chain in your system Common approaches include doing this on demand

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In summary, the ability to provide multiple-application audio and video data streams from a single device:

when a debugger is attached, for debug builds only, or to run the algorithm in response to an acquisition timeout Here is some C# code that implements the general algorithm

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