Approximate Stochastic Behavior N Server by Newell (18 results)

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Hardcover. Condition: Good. From Math/Stat Library, University of California, Berkeley, with some library markings. Lightly read. No other marks in book. No DJ. Study deals with the G/G/n system; n servers in parallel with independent service times serving a fairly general type of customer arrival process. Four chapters: General Formulation; Approximation Methods; Approximations for Short Service Times; Equilibrium Distributions. Some illustrations, many formulae.

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - For many stochastic service systems, service capacities large enough to serve some given customer demand is achieved simply by providing multiple servers of low capacity; for example, toll plazas have many toll collectors, banks have many t- lers, bus lines have many buses, etc. If queueing exists and the typical queue size is large compared with the number n of servers, all servers are kept busy most of the time and the service behaves like some 'effective' single server wit:l mean se.- vice time lin times that of an actual server. The behavior of the queueing system can be described, at least approximately, by use of known results from the much studied single-channel queueing system. For n' 1 , however, (we are thinking p- ticularlyof cases in which n ~ 10), the system may be rather congested and quite sensitive to variations in demand even when the average queue is small compared with n. The behavior of such a system will, generally, differ quite significantly from any 'equivalent' single-server system. The following study deals with what, in the customary classification of queueing systems, is called the G/G/n system; n servers in parallel with independent s- vice times serving a fairly general type of customer arrival process. rhe arrival rate of customers may be time-dependent; particular attention is given to time - pendence typical of a 'rush hour' in which the arrival rate has a single maximum possibly exceeding the capacity of the service.

Condition: New.

Condition: New. pp. 134.

Paperback. Condition: Brand New. 132 pages. 10.00x7.01x0.30 inches. In Stock.

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Condition: Bon. Ancien livre de bibliothèque. Petite(s) trace(s) de pliure sur la couverture. Couverture légèrement déchirée. Salissures sur la tranche. Couverture différente. Edition 1973. Tome 87. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisati ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slightly creased cover. Slightly torn cover. Stains on the edge. Different cover. Edition 1973. Volume 87. Ammareal gives back up to 15% of this item's net price to charity organizations.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. For many stochastic service systems, service capacities large enough to serve some given customer demand is achieved simply by providing multiple servers of low capacity for example, toll plazas have many toll collectors, banks have many t- lers, bus lines.

Condition: New. Print on Demand pp. 134 18 Figures, 66:B&W 7 x 10 in or 254 x 178 mm Perfect Bound on White w/Gloss Lam.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -For many stochastic service systems, service capacities large enough to serve some given customer demand is achieved simply by providing multiple servers of low capacity; for example, toll plazas have many toll collectors, banks have many t- lers, bus lines have many buses, etc. If queueing exists and the typical queue size is large compared with the number n of servers, all servers are kept busy most of the time and the service behaves like some 'effective' single server wit:l mean se.- vice time lin times that of an actual server. The behavior of the queueing system can be described, at least approximately, by use of known results from the much studied single-channel queueing system. For n» 1 , however, (we are thinking p- ticularlyof cases in which n ~ 10), the system may be rather congested and quite sensitive to variations in demand even when the average queue is small compared with n. The behavior of such a system will, generally, differ quite significantly from any 'equivalent' single-server system. The following study deals with what, in the customary classification of queueing systems, is called the G/G/n system; n servers in parallel with independent s- vice times serving a fairly general type of customer arrival process. rhe arrival rate of customers may be time-dependent; particular attention is given to time - pendence typical of a 'rush hour' in which the arrival rate has a single maximum possibly exceeding the capacity of the service.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch.

Condition: New. PRINT ON DEMAND pp. 134.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -For many stochastic service systems, service capacities large enough to serve some given customer demand is achieved simply by providing multiple servers of low capacity; for example, toll plazas have many toll collectors, banks have many t- lers, bus lines have many buses, etc. If queueing exists and the typical queue size is large compared with the number n of servers, all servers are kept busy most of the time and the service behaves like some 'effective' single server wit:l mean se.- vice time lin times that of an actual server. The behavior of the queueing system can be described, at least approximately, by use of known results from the much studied single-channel queueing system. For n' 1 , however, (we are thinking p- ticularlyof cases in which n ~ 10), the system may be rather congested and quite sensitive to variations in demand even when the average queue is small compared with n. The behavior of such a system will, generally, differ quite significantly from any 'equivalent' single-server system. The following study deals with what, in the customary classification of queueing systems, is called the G/G/n system; n servers in parallel with independent s- vice times serving a fairly general type of customer arrival process. rhe arrival rate of customers may be time-dependent; particular attention is given to time - pendence typical of a 'rush hour' in which the arrival rate has a single maximum possibly exceeding the capacity of the service. 132 pp. Englisch.