This paper presents an admission control scheme for providing Quality of Service (QoS) including delay tail distribution and loss probability in high-speed networks.The relationship between resource allocation for flows modeled by on/off Markovian fluids and statistical QoS is established based on an analysis of the Markov process.Using this theoretical result

the feasible test method of admission control for QoS provisioning is put forward.Our proposed admission control scheme is optimal in that it takes account of the relative precedence of flows and represents a requirement for maximizing network revenue

while providing delay tail distribution and loss probability guarantee for multiple classes flows.Its performance is investigated through numerical results.