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3 Lack o f preemption A resource held by one thread cannot be forcibly taken away by another thread The owning thread will relin quish ownership of a resource only after it has finished using it 4 Circular wait A chain of threads exists in which each thread owns one or more resources being requested by the next thread in the chain These are known as the Coffman conditions (see Further Reading, Coffman, Elphick, Shoshani) and are readily described in any OS course book In this definition a resource can mean many things: a critical region, kernel object, I / O resource, and so on Most deadlocks in modern concur rent programs are due to critical regions, such as Win32 C R ITICA L_S ECTION s and CLR Mo n i t o r s , although variants on the idea are also common, which lead to deadlock-like symptoms (such as missed events) While circular waits involving two threads are fairly obvious, piecing together deadlocks consisting of more than one thread are more difficult (though no less possible) As an illustration, imagine that three threads hold separate locks: thread 1 holds lock A, thread 2 holds B, and thread 3 holds C If thread 3 suddenly tries to acquire lock A, a deadlock will occur Aside from eliminating concurrency altogether, one of the Coffman con ditions must be mitigated in order to avoid or react to deadlocks Here are some examples of how 1 Mutual exclusion Some resources can be shared, for instance by using a lock with a shared-mode (eg, a reader/ writer lock) If this is possible, mutual exclusion is not present and, therefore, won't create indefinite waiting But with common locks like C R ITICAL_S ECTIONs and Mo n it o r s , this is a nonnegotiable aspect to the lock itself You can' t change it 2 Waiting If a program never had to hold more than one lock at a time, this wouldn't be an issue The very basic bank account example ear lier should convince you this isn't always feasible Most locking primitives offer a "try enter" method of acquisition that uses a time out to avoid waiting indefinitely It is possible, within some fairly closed-world scenarios, to use a timeout as an opportunity to volun tarily back off, releasing some resources to allow others to proceed, and then restarting the whole operation This isn' t always possible.

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3 Lack of preemption Transactional systems often deal with deadlock by preempting one of the participants in a wait chain This transac tion is then forced to relinquish its resources and retry the transaction again Though this feature isn' t available in general programming environments, it is certainly one reasonable (and reasonably success ful) approach to dealing with deadlocks Using thread interruption and termination is not an appropriate way to do this 4 Circular wait By enforcing an ordering on locks and mandating that threads always acquire locks in that certain order, circular acquires can be made impossible and, hence, so too are deadlocks This is perhaps the most promising of the four conditions to eliminate, as we will focus on below

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The Banker 's Algorithm and Simu ltaneous Lock Acquisition The first famous, but seldom used in practice, technique for avoiding deadlocks is called The Banker's Algorithm and was also invented by Edsgar Dijkstra (see Further Reading) (If it's not obvious, Dijkstra was quite fascinated by synchronization) For The Banker 's Algorithm to work, the complete set of resources that a thread will hold at once must be known Armed with this information, the system will know that any particular acquisition won' t put the system in a deadlock prone state If the acquisition would indeed com promise the system, the acquiring thread must wait for other conflicting threads to finish the conflicting operations before even starting its own operation No step is permitted that could eventually lead to deadlock, therefore eliminating the possibility While interesting from a theoretical perspective, The Banker ' s Algo rithm is seldom applied in general purpose programming environments Knowing, for any arbitrary thread, the complete set of locks it will ever hold at once is impossible in today's world of dynamically composed software, without some fairly extravagant changes to the programming model With that said, we can borrow and use the core idea in closed settings If we carefully structure software into subsystems in which dep endencies are always unidirectional and where there are no circular dependencies-a generally accepted practice in software design-then we can use a variant of The Banker 's Algorithm to avoid deadlocks We call

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You could instead initialize a F I L ETIME's fields to 0, but that requires the extra steps mentioned above to copy bits around or to align the data structure:

E[N] =

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d e c l s p e c ( a lign ( 8 F I lETIME f t {a, a} j SetWa itableTime r ( , r e i n t e r p ret_c a s t < lARGE_IN T E G E R * > ( Ift ) , ) j

Both work roughly equivalently The timer begins firing right away As mentioned earlier, you can specify either an absolute or a relative value for the due time To represent an absolute date in the future, you'll have to construct a F I L ETIME with a valid representation of the date you desire Because the structure's encoding is an implementation detail, you'll want to consult other system APIs to create one You can grab a F I L E TIME off of a file, for example, by accessing its creation date, but that's probably not going to be useful (given that it has probably been created sometime in the past) The easiest way to get started is to use a SYSTEMTIME, set its fields as appropriate, and then convert it to a F I L ETIME with the System TimeTo F i leTime API

typedef s t r u c t { WORD wYe a r j WORD wMont h j WORD wDayOfWee k j WORD wDa Y j WORD wHou r j WORD wMi nute j WORD wSe cond j WORD wMi l l i second s j } SYSTEMTIME , * PSYSTEMTIME j BOO l SystemTimeTo F i leTime ( const SYSTEMTIME * IpSystemTime, l P F I l ETIME I p F i leTime )j SYSTEMTIME

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