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Storage allocation under processor sharing II: Further asymptotic results

机译:处理器共享下的存储分配II:进一步的渐近结果

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We consider a processor-sharing storage allocation model, which has m primary holding spaces and infinitely many secondary ones, and a single processor servicing the stored items. All of the spaces are numbered and ordered. An arriving customer takes the lowest available space. Dynamic storage allocation and the fragmentation of computer memory are wellknown applications of this model. We define the traffic intensity ρ to be λ/μ, where λ is the customers’ arrival rate and μ is the service rate of the processor. We study the joint probability distribution of the numbers of occupied primary and secondary spaces. We study the problem in two asymptotic limits: (1) m → ∞ with a fixed ρ < 1, and (2) ρ ↑ 1, m → ∞ with m(1 ? ρ) = O(1). The asymptotics yield insight into how many secondary spaces tend to be needed, and into the sample paths leading to the occupation of the two types of spaces. We show that the asymptotics lead to accurate numerical approximations.
机译:我们考虑一个处理器共享的存储分配模型,该模型具有m个主要存储空间和无限多个次要存储空间,以及一个为存储的项目提供服务的处理器。所有空格均已编号和排序。到达的客户占用的可用空间最小。动态存储分配和计算机内存的碎片是该模型的众所周知的应用程序。我们将流量强度ρ定义为λ/μ,其中λ是客户的到达率,μ是处理器的服务率。我们研究了占用的主要和次要空间数量的联合概率分布。我们在两个渐近极限中研究该问题:(1)m→∞且ρ<1固定,(2)ρ↑1,m→∞且m(1?ρ)= O(1)。渐近线可以深入了解需要多少次要空间,以及通向导致占用两种类型空间的样本路径。我们证明渐近线导致精确的数值近似。

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