Open-loop routeing to M parallel servers with no buffers
Identifieur interne : 000987 ( PascalFrancis/Corpus ); précédent : 000986; suivant : 000988Open-loop routeing to M parallel servers with no buffers
Auteurs : Eitan Altman ; Sandjai Bhulai ; Bruno Gaujal ; Arie HordijkSource :
- Journal of applied probability [ 0021-9002 ] ; 2000.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
In this paper we study the assignment of packets to M parallel heterogeneous servers with no buffers. The controller does not have knowledge on the state of the servers and bases all decisions on the number of time slots ago that packets have been sent to the different servers. The objective of the controller is to minimize the expected average cost. We consider a general stationary arrival process, with no independence assumptions. We show that the problem can be transformed into a Markov Decision Process (MDP). We further show under quite general conditions on cost functions that only a finite number of states have to be considered in this MDP, which then implies the optimality of periodic policies. For the case of two servers we obtain a more detailed structure of the cost and optimal policies. In particular we show that the average cost function is multimodular, and we obtain expressions for the cost for MMPP and MAP processes. Finally we present an application to optimal robot scheduling for Web search engines.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
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Format Inist (serveur)
NO : | PASCAL 01-0078809 INIST |
---|---|
ET : | Open-loop routeing to M parallel servers with no buffers |
AU : | ALTMAN (Eitan); BHULAI (Sandjai); GAUJAL (Bruno); HORDIJK (Arie) |
AF : | INRIA/Inconnu (1 aut.); Vrije Universiteit Amsterdam/Pays-Bas (2 aut.); LORIA/Inconnu (3 aut.); Leiden University/Pays-Bas (4 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | Journal of applied probability; ISSN 0021-9002; Coden JPRBAM; Royaume-Uni; Da. 2000; Vol. 37; No. 3; Pp. 668-684; Bibl. 15 ref. |
LA : | Anglais |
EA : | In this paper we study the assignment of packets to M parallel heterogeneous servers with no buffers. The controller does not have knowledge on the state of the servers and bases all decisions on the number of time slots ago that packets have been sent to the different servers. The objective of the controller is to minimize the expected average cost. We consider a general stationary arrival process, with no independence assumptions. We show that the problem can be transformed into a Markov Decision Process (MDP). We further show under quite general conditions on cost functions that only a finite number of states have to be considered in this MDP, which then implies the optimality of periodic policies. For the case of two servers we obtain a more detailed structure of the cost and optimal policies. In particular we show that the average cost function is multimodular, and we obtain expressions for the cost for MMPP and MAP processes. Finally we present an application to optimal robot scheduling for Web search engines. |
CC : | 001D02D08; 001D01A03 |
FD : | Système commande; Système stochastique; Commande stochastique; Commande optimale; Programmation mathématique; Décision Markov; Processus semi markovien; Boucle ouverte; Acheminement; Processus arrivée; Internet; Recherche information; Processus Poisson |
ED : | Control system; Stochastic system; Stochastic control; Optimal control; Mathematical programming; Markov decision; Semimarkovian process; Open loop; Routing; Arrival process; Internet; Information retrieval; Poisson process |
SD : | Sistema control; Sistema estocástico; Control estocástico; Control óptimo; Programación matemática; Decisión Markov; Proceso semi markoviano; Bucle abierto; Encaminamiento; Proceso llegada; Internet; Recuperación información; Proceso Poisson |
LO : | INIST-12216.354000093753960060 |
ID : | 01-0078809 |
Links to Exploration step
Pascal:01-0078809Le document en format XML
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<front><div type="abstract" xml:lang="en">In this paper we study the assignment of packets to M parallel heterogeneous servers with no buffers. The controller does not have knowledge on the state of the servers and bases all decisions on the number of time slots ago that packets have been sent to the different servers. The objective of the controller is to minimize the expected average cost. We consider a general stationary arrival process, with no independence assumptions. We show that the problem can be transformed into a Markov Decision Process (MDP). We further show under quite general conditions on cost functions that only a finite number of states have to be considered in this MDP, which then implies the optimality of periodic policies. For the case of two servers we obtain a more detailed structure of the cost and optimal policies. In particular we show that the average cost function is multimodular, and we obtain expressions for the cost for MMPP and MAP processes. Finally we present an application to optimal robot scheduling for Web search engines.</div>
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<server><NO>PASCAL 01-0078809 INIST</NO>
<ET>Open-loop routeing to M parallel servers with no buffers</ET>
<AU>ALTMAN (Eitan); BHULAI (Sandjai); GAUJAL (Bruno); HORDIJK (Arie)</AU>
<AF>INRIA/Inconnu (1 aut.); Vrije Universiteit Amsterdam/Pays-Bas (2 aut.); LORIA/Inconnu (3 aut.); Leiden University/Pays-Bas (4 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
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<EA>In this paper we study the assignment of packets to M parallel heterogeneous servers with no buffers. The controller does not have knowledge on the state of the servers and bases all decisions on the number of time slots ago that packets have been sent to the different servers. The objective of the controller is to minimize the expected average cost. We consider a general stationary arrival process, with no independence assumptions. We show that the problem can be transformed into a Markov Decision Process (MDP). We further show under quite general conditions on cost functions that only a finite number of states have to be considered in this MDP, which then implies the optimality of periodic policies. For the case of two servers we obtain a more detailed structure of the cost and optimal policies. In particular we show that the average cost function is multimodular, and we obtain expressions for the cost for MMPP and MAP processes. Finally we present an application to optimal robot scheduling for Web search engines.</EA>
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