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uj / j } is a solution to the rst system with .If {uj } is a solution to the second system with |uj | < , then {xj = uj / j } is a solution to the rst system with |xj | < , and conversely This is an immediate consequence of the de nition (431) of the pij The one-to-one correspondence and Theorem 359 imply the results of Theorem 431 provided we verify j < j (433).cycle be de ned as the time elapsed between two consecutive visits of the process to state r Using Wald s equation, it is readily seen that E(length of one ycle) =. Barcode Maker In VS .NET Using Barcode generation for .NET .Related: 

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Example 223 A reliability system with redundancies An electronic system consists of a number of independent and identical components hooked up in parallel The lifetime of each component has an exponential distribution with mean 1/ The system is operative only if m or more components are operating The non-failed units remain in operation when the system as a whole is in a non-operative state The system availability is increased by periodic maintenance and by putting r redundant components into operation in addition to the minimum number m of components required Under the periodic maintenance the system is inspected every T time units, where at inspection the failed components are repaired The repair time is negligible and each repaired component is again as good as new The periodic inspections provide the only repair opportunities The following costs are involved For each component there is a depreciation cost of I > 0 per time unit A xed cost of K > 0 is made for each inspection and there is a repair cost of R > 0 for each failed component How can we choose the number r of redundant components and the time T between two consecutive inspections such that the long-run average cost per time unit is minimal subject to the requirement that the probability of system failure between wo inspections is no more than a prespeci ed value We rst derive the performance measures for given values of the parameters r and T The stochastic process describing the number of operating components is regenerative Using the lack of memory of the exponential lifetimes of the components, it follows that the process regenerates itself after each inspection Taking a cycle as the time interval between two inspections, we have E(length of one cycle) = T .

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can be considered as having an unlimited number of processors, because the task execution is nonpreemptive (Property 2 of De nition 43 of the target system model) and only entire tasks are scheduled Hence, if there are more processors than nodes, the surplus processors will have no tasks to execute and can be removed from the system without in uencing the schedule Theorem 42 (NP-Completeness Unlimited Number of Processors) Let G = (V, E, w, c) be a task graph and P a parallel system, with |P | |V| The decision problem SCHED(G, P ) associated with the scheduling problem is as follows Is there a schedule S for G on P with length sl(S) T , T Q+ SCHED(G, P ) is NP-complete The proof for this theorem can be based on a reduction from PARTITION, as mentioned earlier, and is left as an exercise for the reader (Exercise 43) As a logical consequence of the NP-completeness of scheduling, the scienti c community has been eager to investigate ef cient scheduling algorithms based on heuristics or approximation techniques that produce near optimal solutions In practice, task scheduling must rely on these algorithms due to the intractability of the problem In the following chapters, many task scheduling algorithms are analyzed, whereby the focus is on common techniques encountered in many algorithms This section nishes with a simple lemma regarding the optimal schedule length and the number of processors In general, the more processors are available for the task graph to be scheduled on, the smaller (or equal) the optimal schedule length (Darte et al [52]) Lemma 42 (Relation Available Processors Schedule Length) Let G (V, E, w, c) be a task graph and P, P+1 two parallel systems with the only difference.

43 WITHOUT COMMUNICATION COSTS As was said at the beginning of this chapter, scheduling without communication costs is a special case of the general scheduling problem that was discussed in the previous section Nevertheless, it is worthwhile to have a closer look at this special case, since it has some interesting properties As already mentioned, historically the discussion of scheduling problems started without consideration of communication costs As a consequence, the literature of the 1970s regarding task scheduling for parallel systems focused on this scheduling problem that will be de ned in the following (Coffman [37], Ullman [192]) Only in the late 1980s and the 1990s were communication delays integrated into the scheduling problem (Chr tienne and Picovleav [35], El-Rewini and Ali [61], Rayward-Smith [158]) Not considering communication costs corresponds to c(e) = 0 e E in the task graph model Thus, a task graph without communication costs can be de ned as G = (V, E, w) and its edges represent the dependence relations of the nodes, but do not re ect the cost of communicationAs a consequence, it can be meaningful to re ect all types of data dependence ( ow, output, and antidependence (Section 251)), not only ow dependence as was done by the general task graph This was discussed in Section 35, when the task graph model was introduced Only two small modi cations have to be made to the de nitions of the foregoing section to completely de ne the scheduling problem without communication costs First, the target system model can be signi cantly simpli ed and second, the de nition of the edge nish time (De nition 46) must be modi ed De nition 414 (Target Parallel System Cost-Free Communication) A target parallel system Pc0 consists of a set of identical processors connected by a cost-free communication network This system has the following properties: 1 Dedicated System The parallel system is dedicated to the execution of the scheduled task graph No other program or task is executed on the system while the cheduled task graph is executed.

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