On Nonpreemptive LCFS Scheduling with Deadlines
โ Scribed by U. Schmid; J. Blieberger
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 947 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0196-6774
No coin nor oath required. For personal study only.
โฆ Synopsis
We investigate some real time behaviour of a (discrete time) single server system with nonpreemptive LCFS task scheduling. The main results deal with the probability distribution of a random variable (\operatorname{SRD}(T)), which describes the time the system operates without any violation of a fixed task service time deadline (T). A tree approach, similar to those already used for the derivation of the same quantities for other scheduling disciplines (e.g., FCFS) is suitable here again. establishing the power of such techniques once more. Relying on a simple general probability model, asymptotic formulas concerning all moments of (\operatorname{SRD}(T)) are determined: for example, the expectation of (\operatorname{SRD}(T)) is proved to grow exponentially in (T), i.e.. (E[\mathrm{SRD}(T)] \sim C T^{3 / 2} \rho^{T}) for some (\rho>1). Our computations rely on a multivariate (asymptotic) coefficient extraction technique which we call asymptotic separation. ." 1945 Academic Press. inc
๐ SIMILAR VOLUMES
We study non-preemptive, online admission control in the hard deadline model: each job must either be serviced prior to its deadline or be rejected. Our setting consists of a single resource that services an online sequence of jobs; each job has a length indicating the length of time for which it ne
In this paper, we study the problem of scheduling n independent jobs non-preemptively on m unrelated parallel machines. Each job j has a processing time and a deadline, the time at which the job must be completed. On each machine, jobs may be grouped to form batches containing continuously scheduled