作者: Anton Braverman , Jim Dai
关键词: State space 、 Limit (mathematics) 、 Queue 、 Applied mathematics 、 Mathematics 、 Queueing theory 、 Moment (mathematics) 、 Mathematical optimization 、 Stein's method 、 Function (mathematics) 、 Scheduling (computing)
摘要: Heavy traffic limits of queueing systems have been studied in the literature using fluid and diffusion limits. Recently, a new method called 'Drift Method' has developed to study these In drift method, function queue lengths is picked its set zero steady-state, obtain bounds on steady-state that are tight heavy-traffic limit. The key establish an appropriate notion state-space collapse terms moments weighted length differences, use this result when setting equal zero. These moment involved state space also obtained by arguments similar well-known Foster-Lyapunov theorem. We will apply methodology routing, scheduling, other resource allocation problems arise data centers cloud computing systems.