1985 by Anthony Burgess

By Anthony Burgess

Inventive, chilling and darkly comedian, 1985 combines a devastating critique of Orwell's 1984 with a terrifying imaginative and prescient of the longer term. As memorable as A Clockwork Orange, it truly is as robust and unsettling as whatever Burgess has written. First released in 1978, its concepts and ideas nonetheless carry especially true this present day.

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A task is a term tsk(tid , m, l, s, c) where tid is a unique task identifier, m is the name of the method executing in the task, l is a mapping from local variables to their values, s is the sequence of instructions to be executed or s = τ if the task has terminated, and c is a positive number which corresponds to the cost of the instructions executed in the task so far. The cost of executing an instruction i is represented in a generic way as cost(i). The execution of a program starts from a method m in an initial state S0 with a single (initial) location of the form S0 =loc(0, 0, {tsk(0, m, l, body(m), 0)}).

This is unfortunately a too pessimistic estimation of the amount of resources actually required in the real execution. An important observation is that the peak cost will depend on whether the tasks that the location has to execute are pending simultaneously. We aim at inferring such peak of the resource consumption which captures the maximum amount of resources that the location might require along any execution. In addition to its application to verification as described above, this information is crucial to dimensioning the distributed system: it will allow us to determine the size of each location task queue; the required size of the location’s memory; and the processor execution speed required to execute the peak of instructions and provide a certain response time.

Finally, state 8 represents the exit of the loop (L8) and 9 when method s is invoked at L9. The await at L6 ensures that methods q and s will not be queued simultaneously. We start by formalizing the notion of peak cost in the concrete setting. Let us provide some notation. Given a state S ≡loc 1 . . loc n , we use loc ∈ S to refer to a location in S . The set of ready tasks at a location lid at state S is defined as ready tasks(S , lid) = {tid | loc(lid, , Q) ∈ S , tsk(tid, , , s, )∈Q, s=τ }. Note that we exclude the tasks that are finished.

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