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Open-loop routeing to M parallel servers with no buffers

Identifieur interne : 000987 ( PascalFrancis/Corpus ); précédent : 000986; suivant : 000988

Open-loop routeing to M parallel servers with no buffers

Auteurs : Eitan Altman ; Sandjai Bhulai ; Bruno Gaujal ; Arie Hordijk

Source :

RBID : Pascal:01-0078809

Descripteurs français

English descriptors

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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A06       @2 3
A08 01  1  ENG  @1 Open-loop routeing to M parallel servers with no buffers
A11 01  1    @1 ALTMAN (Eitan)
A11 02  1    @1 BHULAI (Sandjai)
A11 03  1    @1 GAUJAL (Bruno)
A11 04  1    @1 HORDIJK (Arie)
A14 01      @1 INRIA @3 INC @Z 1 aut.
A14 02      @1 Vrije Universiteit Amsterdam @3 NLD @Z 2 aut.
A14 03      @1 LORIA @3 INC @Z 3 aut.
A14 04      @1 Leiden University @3 NLD @Z 4 aut.
A20       @1 668-684
A21       @1 2000
A23 01      @0 ENG
A43 01      @1 INIST @2 12216 @5 354000093753960060
A44       @0 0000 @1 © 2001 INIST-CNRS. All rights reserved.
A45       @0 15 ref.
A47 01  1    @0 01-0078809
A60       @1 P
A61       @0 A
A64 01  1    @0 Journal of applied probability
A66 01      @0 GBR
C01 01    ENG  @0 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.
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C03 05  X  SPA  @0 Programación matemática @5 05
C03 06  X  FRE  @0 Décision Markov @5 06
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C03 06  X  SPA  @0 Decisión Markov @5 06
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C03 12  X  ENG  @0 Information retrieval @5 12
C03 12  X  SPA  @0 Recuperación información @5 12
C03 13  X  FRE  @0 Processus Poisson @5 13
C03 13  X  ENG  @0 Poisson process @5 13
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N21       @1 050

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:01-0078809

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<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>
<SO>Journal of applied probability; ISSN 0021-9002; Coden JPRBAM; Royaume-Uni; Da. 2000; Vol. 37; No. 3; Pp. 668-684; Bibl. 15 ref.</SO>
<LA>Anglais</LA>
<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>
<CC>001D02D08; 001D01A03</CC>
<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</FD>
<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</ED>
<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</SD>
<LO>INIST-12216.354000093753960060</LO>
<ID>01-0078809</ID>
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