1995 | OriginalPaper | Buchkapitel
The Generalized Stochastic Knapsack
verfasst von : Keith W. Ross, PhD
Erschienen in: Multiservice Loss Models for Broadband Telecommunication Networks
Verlag: Springer London
Enthalten in: Professional Book Archive
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In this chapter we again consider a stochastic system consisting of C resource units and K classes of objects. And we again suppose that class-k objects have size bκ and arrive and depart at random times. But we now permit the arrival and service rates to depend on the current knapsack state. In particular, with n and S defined as in the previous chapter, the time until the next class-k arrival is exponentially distributed with parameter λ κ (n) when the knapsack is in state n. Analogously, the time until the next class-k departure is exponentially distributed with parameter μ κ (n) when the knapsack is in state n. Clearly, μ κ (n) must satisfy μ κ (n) = 0 whenever n κ = 0. Note that the generalized stochastic knapsack becomes the stochastic knapsack, as studied in the previous chapter, if we set λ κ (n) = λ κ and μ κ (n) = n κ μ κ for all n ∊ S.