Maximum likelihood estimates in an M/M/c queue with heterogeneous servers

Autor:	César Emilio Villarreal-Rodríguez, Sarat Kumar Acharya, Sara V. Rodríguez-Sánchez
Rok vydání:	2013
Předmět:	D/M/1 queue Computer science business.industry M/G/k queue Real-time computing M/D/1 queue M/M/1 queue General Decision Sciences M/D/c queue M/M/∞ queue Modeling and Simulation M/G/1 queue M/M/c queue business Computer network
Zdroj:	International Journal of Mathematics in Operational Research. 5:537
ISSN:	1757-5869 1757-5850
DOI:	10.1504/ijmor.2013.054735
Popis:	This paper presents the derivation of maximum likelihood estimates for the arrival rate and service rates in a stationary M/M/c queue with heterogeneous servers. Although previous works facing the problem can be found in the literature, all of them are only valid under the assumption of transferring of customers in service. A more realistic approach for many systems is developed in this paper. This model considers the customers are attended by the available faster server and there is no transfer of customers among servers. The model can be applied in a large variety of systems such as production systems, banking, cyber cafe or taxi station.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a204d8ed214ff54ce2bdcf049c0bf050 https://doi.org/10.1504/ijmor.2013.054735 Zobrazit plný text záznamu