posted on 2012-08-20, 00:00authored byEunju Sohn, Charles Knessl
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. 1 Introduction
Funding
This work was partly supported by NSF grant DMS 05-03745 and NSA grant H 98230- 08-1-0102.