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often clearer to illustrate specific values and is better at visualizing subtle timing issues, particularly for larger numbers of threads No matter the notation, examining timing like this is a great way of reasoning about the execution of concurrent programs Programmers are accustomed to thinking about programs as a sequence of individual steps As you develop your own algorithms, writing out the concurrent threads and exploring various legal interleavings and what they mean to the state of your program, it is imperative to understanding the behavior of your concurrent programs When you think you might have a problematic tim ing issue, going to the whiteboard and trying to devise some problematic history, perhaps in front of a colleague, is often an effective way to uncover concurrency hazards (or determine their absence) Simple, noninterleaved histories pose no problems for our example The following histories are also safe with our algorithm as written

The aim of this chapter is to provide a brief overview of the general principles governing the European telecommunications regulatory framework The legal requirements to provide community network services in the liberalized European market are analyzed The New Regulatory Framework (NRF) adopted by the EU consists of a set of directives which must be implemented by Member States The Italian implementation and a case study of community network services are brie y presented

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t 1 ( 0 ) - >t 1 ( 1 ) - >t 1 ( 2 ) - > t 3 ( 0 ) - >t 3 ( 1 ) - >t 3 ( 2 ) - >t 2 ( 0 ) - >t 2 ( 1 ) - >t 2 ( 2 ) t 2 ( 0 ) - >t 2 ( 1 ) - >t 2 ( 2 ) - > t 1 ( 0 ) - >t 1 ( 1 ) - >t 1 ( 2 ) - >t 3 ( 0 ) - >t 3 ( 1 ) - >t 3 ( 2 ) t 2 ( 0 ) - >t 2 ( 1 ) - >t 2 ( 2 ) - >t 3 ( 0 ) - >t 3 ( 1 ) - >t 3 ( 2 ) - >t 1 ( 0 ) - >t 1 ( 1 ) - >t 1 ( 2 ) t 3 ( 0 ) - >t 3 ( 1 ) - >t 3 ( 2 ) - > t 1 ( 0 ) - >t 1 ( 1 ) - >t 1 ( 2 ) - >t 2 ( 0 ) - >t 2 ( 1 ) - >t 2 ( 2 ) t 3 ( 0 ) - >t 3 ( 1 ) - >t 3 ( 2 ) - >t 2 ( 0 ) - >t 2 ( 1 ) - >t 2 ( 2 ) - >t 1 ( 0 ) - >t 1 ( 1 ) - >t 1 ( 2 )

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These histories yield correct results because none results i n one thread's statements interleaving amongst another's In each scenario, the first thread runs to completion, then another, and then the last one In these histories, the threads are serialized with respect to one another (or the history is serializable) But this example is working properly by virtue of sheer luck There is nothing to prevent the other interleaved histories from occurring at run time, where two (or more) threads overlap in time, leading to an inter leaved timing and resulting race conditions Omitting t3 from the example for a moment, consider this simple timing, written out longhand so we can emphasize the state transitions from one time step to the next

about the first one, possibly masking a severe data corruption problem In any case, you must worry about abandoned mutexes Abandonment is often an indication that a thread failed to finish updates it was making to shared state, possibly leaving this state corrupted Similarly, for machine wide mutexes, any resources or cross-machine state that the mutex protects is now suspect What can you do in response In some cases, you can ver ify the integrity of state by checking data invariants If you can prove that the state is valid-or you can repair the state if it was indeed found to be damaged-then the program can typically proceed as normal Often this is not easily determinable, however, and you may instead ask the user to ver ify that state is OK, ask them to restart the process or, in the case of machine wide state, reboot the machine to fix things If the corruption has to do with persistent state, the recovery task is sadly often much more tricky to orchestrate

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