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- W830843060 abstract "This thesis is concerned with maximising the efficiency of hosting of service provisioning systems consisting of clusters or networks of servers. The tools employed are those of probabilistic modelling, optimization and simulation. First, a system where the servers in a cluster may be switched dynamically and preemptively from one kind of work to another is examined. The demand consists of two job types joining separate queues, with different arrival and service characteristics, and also different relative importance represented by appropriate holding costs. The switching of a server from queue i to queue j incurs a cost which may be monetary or may involve a period of unavailability. The optimal switching policy is obtained numerically by solving a dynamic programming equation. Two heuristic policies one static and one dynamic are evaluated by simulation and are compared to the optimal policy. The dynamic heuristic is shown to perform well over a range of parameters, including changes in demand. The model, analysis and evaluation are then generalized to an arbitrary number, M, of job types. Next, the problem of how best to structure and control a distributed computer system containing many processors is considered. The performance trade-offs associated with different tree structures are evaluated approxi-" @default.
- W830843060 created "2016-06-24" @default.
- W830843060 creator A5040770524 @default.
- W830843060 date "2006-01-01" @default.
- W830843060 modified "2023-09-27" @default.
- W830843060 title "Resource allocation policies for service provisioning systems" @default.
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