Abstract
IT service providers are increasingly hosting different services of different customers on a shared IT infrastructure. While this fosters utilization of hardware infrastructure, system malfunctions, unexpected service behaviour or peak demands for one or more services may exploit resource pools (CPU, I/O, main memory, bandwidth etc.), entailing rejection of service requests. In this paper we describe models for dynamic admission control on shared infrastructures. The admission control model decides whether to accept, buffer or reject a service request based on the revenue, Service level Agreements (SLAs) and its resource demand in comparison to the actual workload to maximize overall revenue. Simulations of a media streaming infrastructure have been used for evaluation and comparison with traditional admission control policies.
| Translated title of the contribution | Revenue maximizing admission control policies for shared IT infrastructures |
|---|---|
| Original language | German |
| Pages (from-to) | 246-256 |
| Number of pages | 11 |
| Journal | Wirtschaftsinformatik |
| Volume | 48 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2006 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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