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spin locks We'll look at how to properly write spin-waits in 1 4, Performance and Scalability Starving high priority work is a real problem, especially in real time or mission critical systems, where some background processing interferes with a more important time sensitive operation This is one reason that changing thread priorities should be (mostly) avoided, unless you have a very compelling reason to do so Windows has a system thread called the balance set manager, whose job mainly centers around management of virtual memory tables But another one of its responsibilities includes rudimentary starvation management It wakes up once a second, and, if a particular thread has not run for 4 seconds, it temporarily boosts that thread's priority to "time critical" (priority level I S-the highest dynamic thread priority without entering real time) and the thread also enjoys a quantum boost so that it runs for twice the ordinary quantum length on client SKUs and four times on server SKUs Priority decays at each quantum, until the thread reaches its original priority again This virtually guarantees that the thread will get a chance to run soon and, in the case of priority inversion, long enough to release its lock But then again, 4 seconds is a long time to wait for the starvation to kick in, so even with this support, priority inversion and starvation are problems Many alternative solutions to starvation are possible The kernel uses IRQLs to prevent interrupts, including context switches, during some critical regions This technique isn't available to user-mode code Other solutions are known in the literature but aren't currently used by the Windows kernel; one such technique is priority inheritance, where the priority of a thread holding a shared resource is temporarily boosted to equal that of another thread that needs access to the shared resource (until it has been relinquished) (see Further Reading, Sha, Rajkumar, Lehoczky) You could build such a scheme in user mode, but lack of support for priority inheritance is one of several often cited reasons why NT is generally insufficient as a real-time or embedded OS.

When discussing EPONs, another set of terms is used Speci cally, ONU (optical network unit), which indicates the user side, and OLT (optical line terminal), which indicates the provider side As with point-to-point devices, the downstream direction is from the OLT to the ONU The upstream direction is from the ONU to the OLT There is never more than one OLT associated with a set of ONUs In a typical EPON, there will be multiple ONUs

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Read/write hazard A thread, tI , reads from a location, t2, then writes to that location, and tI subsequently makes a decision based on its (now invalid) read of t1 This also can be referred to as a stale read Write/write hazard A thread, tI , writes to the same location as t2 in a concurrency unsafe way, leading to lost updates, as in the example given above Write/read hazard A thread, tI , writes to a location and then t2 reads from it before it is safe to do so In some cases, tI may decide to undo its partial update to state due to a subsequent failure, lead ing t2 to make decisions on an invalid snapshot of state that should have never been witnessed This also can be referred to as an unrepeatable read Read/read hazard There is no problem with multiple concurrent threads reading the same shared data simultaneously This property can be exploited to build a critical region variant called a reader/ writer lock to provide better performance for read /read conflicts; this idea is explored more in 6, Data and Control Synchronization

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(This last point is a simplification Normally read / read conflicts are safe in the case of simple shared memory, but there are some cases in which they are not: when a read has a side effect, like reading a stack's guard page, or when reading some data associated with a physical device, it may be nec essary to ensure no two threads try to do it concurrently) Very little of this discussion is specific to the ++ operator itself It just turns out to be a convenient example because it intrinsically exhibits all of the problematic conditions that lead to these timing issues 1 Multiple threads make private copies of data from a shared location 2 Threads publish results back to shared memory, overwriting existing values 3 Compound updates may be made with the intent of establishing or preserving invariants between multiple independent shared locations 4 Threads run concurrently such that their timing overlaps and opera tions interleave

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