TY - GEN
T1 - Factorization Properties for a MAP-Modulated Fluid Flow Model Under Server Vacation Policies
AU - Baek, Jung Woo
AU - Lee, Ho Woo
AU - Lee, Se Won
AU - Ahn, Soohan
PY - 2013
Y1 - 2013
N2 - The classic Markov-modulated fluid flow (MMFF) model is a stochastic model in which the rate of change of the fluid level is modulated by an underlying Markov chain (UMC). It was introduced by Anick et al. to analyze a data-handling system with multi-input sources [6]. More details about the conventional MMFF model can be found in Aggarwal et al. [1], Ahn [2], Ahn and Ramaswami [3-5], Asmussen [7], Mitra [22], and references therein.
AB - The classic Markov-modulated fluid flow (MMFF) model is a stochastic model in which the rate of change of the fluid level is modulated by an underlying Markov chain (UMC). It was introduced by Anick et al. to analyze a data-handling system with multi-input sources [6]. More details about the conventional MMFF model can be found in Aggarwal et al. [1], Ahn [2], Ahn and Ramaswami [3-5], Asmussen [7], Mitra [22], and references therein.
UR - http://www.scopus.com/inward/record.url?scp=84883387156&partnerID=8YFLogxK
U2 - 10.1007/978-1-4614-4909-6_1
DO - 10.1007/978-1-4614-4909-6_1
M3 - Conference contribution
AN - SCOPUS:84883387156
SN - 9781461449089
T3 - Springer Proceedings in Mathematics and Statistics
SP - 1
EP - 24
BT - Matrix-Analytic Methods in Stochastic Models
PB - Springer New York LLC
ER -