Light-Traffic Analysis for Queues with Spatially Distributed Arrivals

We consider the following continuous polling system: Customers arrive according to a homogeneous Poisson process or a more general stationary point process and wait on a circle in order to be served by a single server. The server is “greedy,” in the sense that he always moves with constant speed towards the nearest customer. The customers are served according to an arbitrary service time distribution, in the order in which they are encountered by the server. First-order and second-order Taylor-expansions are found for the expected configuration of customers, for the mean queue length, and for expectation and distribution function of the workload. It is shown that under light traffic conditions the greedy server works more efficiently than the cyclically polling server.

[1]  Karl Sigman,et al.  Light traffic for workload in queues , 1992, Queueing Syst. Theory Appl..

[2]  Eitan Altman,et al.  Queueing in space , 1994, Advances in Applied Probability.

[3]  Masakiyo Miyazawa,et al.  Decomposition formulas for single server queues with vacations : a unified approach by the rate conservation law , 1994 .

[4]  P. Franken,et al.  Queues and Point Processes , 1983 .

[5]  Ward Whitt,et al.  Measurements and approximations to describe the offered traffic and predict the average workload in a single-server queue , 1989, Proc. IEEE.

[6]  D. Bharat Generalizations of the stochastic decomposition results for single server queues with vacations , 1990 .

[7]  Bharat T. Doshi Conditional and unconditional distributions forM/G/1 type queues with server vacations , 1990, Queueing Syst. Theory Appl..

[8]  Dirk P. Kroese,et al.  A continuous polling system with general service times , 1991 .

[9]  Martin I. Reiman,et al.  An Interpolation Approximation for Queueing Systems with Poisson Input , 1988, Oper. Res..

[10]  R. B. Cooper,et al.  Application of decomposition principle in M/G/1 vacation model to two continuum cyclic queueing models — Especially token-ring LANs , 1985, AT&T Technical Journal.

[11]  Tomasz Rolski,et al.  Light Traffic Approximations in Queues , 1991, Math. Oper. Res..

[12]  Burton Simon Calculating light traffic limits for sojourn times in open markovian queueing systems , 1993 .

[13]  Robert D. van der Mei,et al.  Optimization of Polling Systems with Bernoulli Schedules , 1995, Perform. Evaluation.

[14]  Volker Schmidt,et al.  Single-server queues with spatially distributed arrivals , 1994, Queueing Syst. Theory Appl..

[15]  Martin I. Reiman,et al.  Open Queueing Systems in Light Traffic , 1989, Math. Oper. Res..

[16]  Ward Whitt,et al.  An Interpolation Approximation for the Mean Workload in a GI/G/1 Queue , 1989, Oper. Res..

[17]  Donald L. Snyder,et al.  Random point processes , 1975 .

[18]  Onno J. Boxma,et al.  Workloads and waiting times in single-server systems with multiple customer classes , 1989, Queueing Syst. Theory Appl..

[19]  Onno Boxma,et al.  Pseudo-conservation laws in cyclic-service systems , 1986 .

[20]  Edward G. Coffman,et al.  Continuous Polling on Graphs , 1993 .

[21]  D. Daley,et al.  Finiteness of Waiting-Time Moments in General Stationary Single-Server Queues , 1992 .

[22]  Leonard Kleinrock,et al.  The Analysis of Random Polling Systems , 1988, Oper. Res..

[23]  R. Schassberger,et al.  Ergodicity of a polling network , 1994 .

[24]  Ward Whitt,et al.  A Light-Traffic Approximation for Single-Class Departure Processes from Multi-Class Queues , 1988 .

[25]  Edward G. Coffman,et al.  A continuous polling system with constant service times , 1986, IEEE Trans. Inf. Theory.

[26]  M. Reiman,et al.  Light Traffic Limits of Sojourn Time Distributions in Markovian Queueing Networks , 1988 .

[27]  P. Brémaud,et al.  Virtual customers in sensitivity and light traffic analysis via Campbell's formula for point processes , 1993, Advances in Applied Probability.

[28]  Volker Schmidt,et al.  Queueing systems on a circle , 1993, ZOR Methods Model. Oper. Res..

[29]  Edward G. Coffman,et al.  Polling and greedy servers on a line , 1987, Queueing Syst. Theory Appl..

[30]  Bartlomiej Blaszczyszyn,et al.  Light-traffic approximations for Markov-modulated multi-server queues , 1995 .

[31]  Steven Nahmias,et al.  Stochastic Models of Internal Mail Delivery Systems , 1984 .

[32]  高木 英明,et al.  Analysis of polling systems , 1986 .

[33]  M. Neuts,et al.  A single-server queue with server vacations and a class of non-renewal arrival processes , 1990, Advances in Applied Probability.

[34]  Dimitris Bertsimas,et al.  A Stochastic and Dynamic Vehicle Routing Problem in the Euclidean Plane , 1991, Oper. Res..

[35]  Bartlomiej Blaszczyszyn,et al.  Factorial moment expansion for stochastic systems , 1995 .

[36]  Eitan Altman,et al.  Cyclic Bernoulli polling , 1993, ZOR Methods Model. Oper. Res..

[37]  V. Schmidt,et al.  Directional distributions for multi-dimensional random point processes , 1992 .

[38]  V. Schmidt,et al.  Queues and Point Processes , 1983 .

[39]  Robert B. Cooper,et al.  Stochastic Decompositions in the M/G/1 Queue with Generalized Vacations , 1985, Oper. Res..

[40]  R. Schaβberger Stability of Polling Networks with State-Dependent Server Routing , 1995 .

[41]  Onno J. Boxma,et al.  Waiting Times in Polling Systems with Markovian Server Routing , 1989, MMB.

[42]  Tomasz Rolski,et al.  Light traffic approximations in general stationary single-server queues , 1994 .

[43]  Julian Keilson,et al.  OSCILLATING RANDOM WALK MODELS FOR GI/G/1 VACATION , 1986 .