By Dieter Fiems, Veronique Inghelbrecht, Bart Steyaert, Herwig Bruneel (auth.), Khalid Al-Begain, Armin Heindl, Miklós Telek (eds.)
This e-book constitutes the refereed court cases of the fifteenth foreign convention on Analytical and Stochastic Modeling recommendations and functions, ASMTA 2008, held in Nicosia, Cyprus, in June 2008 together with ECMS 2008, the twenty second eu convention on Modeling and Simulation.
The 22 revised complete papers awarded have been conscientiously reviewed and chosen from fifty five submissions. The papers are prepared in topical sections on site visitors modeling, queueing platforms, analytical equipment and purposes, distributions in stochastic modeling, queueing networks, simulation and version checking, in addition to instant networks.
Read Online or Download Analytical and Stochastic Modeling Techniques and Applications: 15th International Conference, ASMTA 2008 Nicosia, Cyprus, June 4-6, 2008 Proceedings PDF
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Extra info for Analytical and Stochastic Modeling Techniques and Applications: 15th International Conference, ASMTA 2008 Nicosia, Cyprus, June 4-6, 2008 Proceedings
N ∈ T } (1) Single requests ri could for instance represent data transmission requests or connection setup requests. The concept presented here is not limited to the modeling of computer networks. Considering database systems we could for instance model transactions as requests. g. g. packet length or destination address). Based on Deﬁnition 1 we deﬁne four types of transformations 1. , rK ) for a given transformation. TR : R p → R s 2. , tsK ) TT : T p → T s 3. If the transformation of request attributes cannot be achieved independently of timing, we additionally use TR : Rp × T p → Rs 4.
We consider an inﬁnite user population where each user is capable of starting and ending sessions. During a session a user is active and sends information through the communication system. In this paper, we consider a session-based arrival process where each active user generates a random but strictly positive number of packets per slot. Hence, each user generates a non-interrupted data ﬂow until the user’s session ends, where the number of generated packets varies from slot to slot, but is never equal to zero.
TR : R p → R s 2. , tsK ) TT : T p → T s 3. If the transformation of request attributes cannot be achieved independently of timing, we additionally use TR : Rp × T p → Rs 4. Likewise, if the transformation of timing cannot be achieved independently of request attributes, we use TT : Rp × T p → T s Note that due to the generality of Deﬁnition 1, we are able to take into account the state of the service station, which is of great importance for load-dependent transformations. In addition, we are also able to model request generation respectively request elimination, because K does not necessarily have to equal N .