Fair Dynamic Routing in Large-Scale Heterogeneous-Server Systems
暂无分享,去创建一个
[1] H. Kushner. Numerical Methods for Stochastic Control Problems in Continuous Time , 2000 .
[2] Chin-Chi Wu,et al. Improving Inter-server Fairness in Active Queue Management , 2007, IEEE Communications Letters.
[3] Adam Wierman,et al. Fairness and classifications , 2007, PERV.
[4] Ger Koole,et al. Monotonicity in Markov Reward and Decision Chains: Theory and Applications , 2007, Found. Trends Stoch. Syst..
[5] Ward Whitt,et al. Queue-and-Idleness-Ratio Controls in Many-Server Service Systems , 2009, Math. Oper. Res..
[6] MandelbaumAvishai,et al. Scheduling Flexible Servers with Convex Delay Costs , 2004 .
[7] Yulia Tseytlin,et al. Queueing Systems with Heterogeneous Servers : Improving Patients ’ Flow in Hospitals M . Sc . Research Proposal , 2007 .
[8] P. Protter,et al. Weak Limit Theorems for Stochastic Integrals and Stochastic Differential Equations , 1991 .
[9] Benjamin Avi-Itzhak,et al. QUANTIFYING FAIRNESS IN QUEUING SYSTEMS , 2008, Probability in the Engineering and Informational Sciences.
[10] Ronald J. Williams,et al. Dynamic scheduling of a system with two parallel servers in heavy traffic with resource pooling: asymptotic optimality of a threshold policy , 2001 .
[11] Ashok K. Agrawala,et al. Control of a Heterogeneous Two-Server Exponential Queueing System , 1983, IEEE Transactions on Software Engineering.
[12] R. Atar. Scheduling control for queueing systems with many servers: asymptotic optimality in heavy traffic , 2005, math/0602526.
[13] S. L. Bell,et al. Dynamic Scheduling of a Parallel Server System in Heavy Traffic with Complete Resource Pooling: Asymptotic Optimality of a Threshold Policy , 2005 .
[14] D. Gamarnik,et al. Validity of heavy traffic steady-state approximations in generalized Jackson networks , 2004, math/0410066.
[15] Martin L. Puterman,et al. Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .
[16] J. Michael Harrison,et al. Brownian Models of Queueing Networks with Heterogeneous Customer Populations , 1988 .
[17] Rami Atar,et al. Efficient Routing in Heavy Traffic Under Partial Sampling of Service Times , 2008, Math. Oper. Res..
[18] Rami Atar,et al. A blind policy for equalizing cumulative idleness , 2011, Queueing Syst. Theory Appl..
[19] Francis de Véricourt,et al. On the incomplete results for the heterogeneous server problem , 2006, Queueing Syst. Theory Appl..
[20] W. Whitt,et al. Transient behavior of regulated Brownian motion, I: Starting at the origin , 1987, Advances in Applied Probability.
[21] Kevin D. Glazebrook,et al. Parallel Scheduling of Multiclass M/M/m Queues: Approximate and Heavy-Traffic Optimization of Achievable Performance , 2001, Oper. Res..
[22] M. Rubinovitch. The Slow Server Problem , 1983 .
[23] P. Billingsley,et al. Convergence of Probability Measures , 1969 .
[24] Noah Gans,et al. A Call-Routing Problem with Service-Level Constraints , 2003, Oper. Res..
[25] P. R. Kumar,et al. Optimal control of a queueing system with two heterogeneous servers , 1984 .
[26] Avishai Mandelbaum,et al. Call Centers with Impatient Customers: Many-Server Asymptotics of the M/M/n + G Queue , 2005, Queueing Syst. Theory Appl..
[27] Paul E. Spector,et al. The Role of Justice in Organizations: A Meta-Analysis , 2001 .
[28] Mor Armony,et al. Dynamic Routing in Large-Scale Service Systems with Heterogeneous Servers , 2005, Queueing Syst. Theory Appl..
[29] Avishai Mandelbaum,et al. Staffing Many-Server Queues with Impatient Customers: Constraint Satisfaction in Call Centers , 2009, Oper. Res..
[30] Ioannis Karatzas,et al. Brownian Motion and Stochastic Calculus , 1987 .
[31] Sem C. Borst,et al. Dimensioning Large Call Centers , 2000, Oper. Res..
[32] Ward Whitt,et al. Service-Level Differentiation in Many-Server Service Systems via Queue-Ratio Routing , 2010, Oper. Res..
[33] Eitan Altman,et al. Sensitivity of constrained Markov decision processes , 1991, Ann. Oper. Res..
[34] Alexander L. Stolyar,et al. OPTIMAL ROUTING IN OUTPUT-QUEUED FLEXIBLE SERVER SYSTEMS , 2005, Probability in the Engineering and Informational Sciences.
[35] Donald E. Conlon,et al. Justice at the millennium: a meta-analytic review of 25 years of organizational justice research. , 2001, The Journal of applied psychology.
[36] V. V. Rykov,et al. On the slow server problem , 2009 .
[37] Benjamin Avi-Itzhak,et al. QUANTIFYING FAIRNESS IN QUEUEING SYSTEMS: PRINCIPLES AND APPLICATIONS , 2004 .
[38] A. V. Balakrishnan,et al. Stochastic differential systems , 1973 .
[39] Avishai Mandelbaum,et al. Routing and Staffing in Large-Scale Service Systems: The Case of Homogeneous Impatient Customers and Heterogeneous Servers , 2011, Oper. Res..
[40] W. Whitt,et al. PIECEWISE-LINEAR DIFFUSION PROCESSES , 1995 .
[41] Sandjai Bhulai,et al. A queueing model for call blending in call centers , 2003, IEEE Trans. Autom. Control..
[42] Rami Atar,et al. Scheduling a multi class queue with many exponential servers: asymptotic optimality in heavy traffic , 2004, math/0407058.
[43] Ward Whitt,et al. Some Useful Functions for Functional Limit Theorems , 1980, Math. Oper. Res..
[44] M. Yor. DIFFUSIONS, MARKOV PROCESSES AND MARTINGALES: Volume 2: Itô Calculus , 1989 .
[45] J. Harrison. Heavy traffic analysis of a system with parallel servers: asymptotic optimality of discrete-review policies , 1998 .
[46] J. Michael Harrison,et al. Dynamic Scheduling of a Multiclass Queue in the Halfin-Whitt Heavy Traffic Regime , 2004, Oper. Res..
[47] Avishai Mandelbaum,et al. Telephone Call Centers: Tutorial, Review, and Research Prospects , 2003, Manuf. Serv. Oper. Manag..
[48] Ward Whitt,et al. The Impact of Increased Employee Retention on Performance in a Customer Contact Center , 2006, Manuf. Serv. Oper. Manag..
[49] Itay Gurvich,et al. When Promotions Meet Operations: Cross-Selling and Its Effect on Call Center Performance , 2010, Manuf. Serv. Oper. Manag..
[50] Tolga Tezcan,et al. State Space Collapse in Many-Server Diffusion Limits of Parallel Server Systems , 2011, Math. Oper. Res..
[51] R. Stockbridge. A martingale approach to the slow server problem , 1991 .
[52] Itay Gurvich,et al. Service-Level Differentiation in Call Centers with Fully Flexible Servers , 2008, Manag. Sci..
[53] Amy R. Ward,et al. Critical Thresholds for Dynamic Routing in Queueing Networks , 2002, Queueing Syst. Theory Appl..
[54] Fabricio Bandeira Cabral,et al. Queues with heterogeneous servers and uninformed customers: who works the most? , 2007, 0706.0560.
[55] E. Altman. Constrained Markov Decision Processes , 1999 .
[56] Alexander L. Stolyar,et al. Scheduling Flexible Servers with Convex Delay Costs: Heavy-Traffic Optimality of the Generalized cµ-Rule , 2004, Oper. Res..
[57] Fabricio Bandeira Cabral,et al. The Slow Server Problem for Uninformed Customers , 2005, Queueing Syst. Theory Appl..
[58] Ward Whitt,et al. Heavy-Traffic Limits for Queues with Many Exponential Servers , 1981, Oper. Res..
[59] Ward Whitt,et al. Scheduling Flexible Servers with Convex Delay Costs in Many-Server Service Systems , 2009, Manuf. Serv. Oper. Manag..
[60] W. Fleming,et al. Controlled Markov processes and viscosity solutions , 1992 .
[61] MandelbaumAvishai,et al. Call Centers with Impatient Customers , 2005 .
[62] Rami Atar. Central limit theorem for a many-server queue with random service rates. , 2008 .