{"id":190,"date":"2021-03-19T14:07:07","date_gmt":"2021-03-19T05:07:07","guid":{"rendered":"https:\/\/orsj.org\/queue\/?page_id=190"},"modified":"2021-03-19T14:07:07","modified_gmt":"2021-03-19T05:07:07","slug":"quesym1998","status":"publish","type":"page","link":"https:\/\/orsj.org\/queue\/symposium\/quesym_history\/quesym1998\/","title":{"rendered":"1998\u5e74\u5ea6(\u7b2c17\u56de)\u5f85\u3061\u884c\u5217\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0"},"content":{"rendered":"<p>    <center><\/p>\n<h2>1998\u5e74\u5ea6\uff08\u7b2c17\u56de\uff09\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0<br \/>\n\t&#8220;\u60c5\u5831\u901a\u4fe1\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u65b0\u3057\u3044\u6027\u80fd\u8a55\u4fa1\u6cd5\u306b\u95a2\u3059\u308b\u7dcf\u5408\u7684\u7814\u7a76&#8221;<\/h2>\n<p>        \u65e5\u6642: 1999\u5e741\u670825-27\u65e5<br \/>\n        \u5834\u6240: \u6d5c\u677e\u30fb\u6d5c\u540d\u8358<br \/>\n\t\u79d1\u5b66\u7814\u7a76\u8cbb\u88dc\u52a9\u91d1 \u57fa\u76e4\u7814\u7a76 (A)(1), \u8ab2\u984c\u756a\u53f7 08308025<br \/>\n\t\u7814\u7a76\u4ee3\u8868\u8005: \u9ad8\u6a4b \u5e78\u96c4\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09<br \/>\n    <\/center><\/p>\n<hr>\n<ul>\n<li>Performance Evaluation of a Multi-Stage JIT Production System by Decomposition Technique<br \/>\n\t<br \/>\u5c0f\u5cf6 \u8ca2\u5229\uff0c\u5927\u91ce \u52dd\u4e45\uff08\u540d\u53e4\u5c4b\u5de5\u696d\u5927\u5b66\uff09\uff0c\u4e2d\u5cf6 \u5065\u4e00\uff08\u5927\u962a\u5de5\u696d\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u5f85\u3061\u884c\u5217\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u7a4d\u5f62\u5f0f\u89e3\u3092\u7528\u3044\u305f\u65b0\u3057\u3044\u8fd1\u4f3c\u6cd5<br \/>\n\t<br \/>\u9ad8\u7530 \u5bdb\u4e4b\uff0c\u5bae\u6ca2 \u653f\u6e05\uff08\u6771\u4eac\u7406\u79d1\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>UNIX \u3092 OS \u3068\u3059\u308b\u4e26\u5217\u8a08\u7b97\u6a5f\u30b7\u30b9\u30c6\u30e0\u306e\u6027\u80fd\u4e88\u6e2c\u624b\u6cd5<br \/>\n\t<br \/>\u8535\u6749 \u4fca\u5eb7\uff0c\u7d00 \u4e00\u8aa0\uff08NEC C&#038;C \u30e1\u30c7\u30a3\u30a2\u7814\u7a76\u6240\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>On a Synchronization Queue with Poisson and PH Arrivals<br \/>\n\t<br \/>\u9ad8\u6a4b \u7f8e\u4f50\uff08\u96fb\u6c17\u901a\u4fe1\u5927\u5b66\uff09\uff0c\u5927\u6fa4 \u79c0\u96c4\uff08\u611b\u77e5\u5b66\u6cc9\u5927\u5b66\uff09\uff0c\u85e4\u6fa4 \u6b66\u4e45\uff08\u96fb\u6c17\u901a\u4fe1\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>M\/D\/1 \u306e\u5e7e\u4f55\u5b66\u3068 Large Deviation<br \/>\n\t<br \/>\u4e2d\u5ddd \u5065\u6cbb\uff08\u9577\u5ca1\u6280\u8853\u79d1\u5b66\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u78ba\u7387\u5909\u6570\u96c6\u5408\u3068\u305d\u306e\u5206\u5272\u306b\u95a2\u3059\u308b\u78ba\u7387\u9806\u5e8f\u3068\u5fdc\u7528<br \/>\n\t<br \/>\u4e2d\u51fa \u5eb7\u4e00\uff08\u540d\u53e4\u5c4b\u5de5\u696d\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u5438\u53ce\u904e\u7a0b\u3001\u9061\u53ca\u4e0d\u53ef\u80fd\u4e8b\u8c61\u3001\u305d\u3057\u3066\u5185\u751f\u5909\u6570\u306e\u5916\u751f\u5316<br \/>\n\t<br \/>\u4e2d\u585a \u5229\u76f4\uff08\u6771\u4eac\u90fd\u7acb\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u9ad8\u6821\u751f\uff08\u4e3b\u306b\u5973\u5b50\uff09\u306e\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u30c4\u30fc\u30eb\u5229\u7528\u30a4\u30e1\u30fc\u30b8 \u2212\u30a2\u30f3\u30b1\u30fc\u30c8\u8abf\u67fb\u5206\u6790\u2212<br \/>\n\t<br \/>\u4e0b\u5ddd \u4fe1\u7950\uff0c\u65b0\u4e0a \u548c\u6b63\uff0c\u5009\u6301 \u88d5\uff08ATR\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>Queue Length Distribution in a FIFO Single-Server Queue with Multiple Arrival Streams Having Different Service Time Distributions<br \/>\n\t<br \/>\u6edd\u6839 \u54f2\u54c9\uff08\u4eac\u90fd\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>Generating a Queueing Network with Signals and State Dependent Local Transitions from a Quasi-reversible Network<br \/>\n\t<br \/>\u5bae\u6ca2 \u653f\u6e05\uff08\u6771\u4eac\u7406\u79d1\u5927\u5b66\uff09\uff0cXiuli Chao\uff08New Jersey Institute of Technology\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u5206\u6563\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u74b0\u5883\u3067\u306e\u8ca0\u8377\u5206\u6563\u65b9\u5f0f\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u8a55\u4fa1<br \/>\n\t<br \/>\u5742\u7530 \u6d0b\u5e78\uff08NTT\u30c7\u30fc\u30bf\uff09\uff0c\u6a4b\u7530 \u6e29\uff0c\u7267\u672c \u76f4\u6a39\uff08\u7b51\u6ce2\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>Smoothed Perturbation Analysis of a G\/G\/1\/\u221e Queue with Multiple Server Vacations<br \/>\n\t<br \/>\u9ad8\u6728 \u5b5d\u5e78\uff08\u4eac\u90fd\u5927\u5b66\uff09\uff0c\u4e09\u597d \u76f4\u4eba\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>Loss Probability Approximation of a Server Vacation Queueing Model with a MAP<br \/>\n\t<br \/>\u5bae\u6751 \u5d07\uff08\u5927\u962a\u5927\u5b66\uff09\uff0c\u9ad8\u6a4b \u656c\u9686\uff08NTT\u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u7814\u7a76\u6240\uff09\uff0c\u7c73\u5c71 \u5bdb\u4e8c\uff08\u59eb\u8def\u5de5\u696d\u5927\u5b66\uff09\uff0c\u77f3\u4e95 \u535a\u662d\uff08\u5927\u962a\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>Traffic Measurement System with Trap and Polling Methods and Its Performance<br \/>\n\t<br \/>\u6cb3\u897f \u61b2\u4e00\uff0c\u9ad8\u6a4b \u656c\u9686\uff0c\u7af9\u4e2d \u8c4a\u6587\uff08NTT\u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u7814\u7a76\u6240\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u30ad\u30e3\u30c3\u30b7\u30e5\u306b\u304a\u3051\u308b\u53ef\u5909\u30d6\u30ed\u30c3\u30af\u30b5\u30a4\u30ba\u65b9\u5f0f\u306e\u691c\u8a0e<br \/>\n\t<br \/>\u7530\u4e2d \u6df3\u88d5\uff08NEC C&#038;C \u30e1\u30c7\u30a3\u30a2\u7814\u7a76\u6240\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>Load Balancing in Distributed\/Parallel Computer Systems with General Network Configurations<br \/>\n\t<br \/>\u674e \u9821\uff0c\u4e80\u7530 \u58fd\u592b\uff08\u7b51\u6ce2\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>Braess-like Paradoxes of Nash Equilibria for Load Balancing in Distributed Computer Systems<br \/>\n\t<br \/>\u4e80\u7530 \u58fd\u592b\uff0c\u5c0f\u6fa4 \u5b5d\u4e4b\uff08\u7b51\u6ce2\u5927\u5b66\uff09\uff0cEitan Altman\uff08INRIA Sophia-Antipolis\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u975e\u5b9a\u5e38 M\/G\/\u221e \u30b7\u30b9\u30c6\u30e0\u306b\u3088\u308b\u81ea\u5df1\u76f8\u4f3c\u904e\u7a0b\u306e\u751f\u6210<br \/>\n\t<br \/>\u5de5\u85e4 \u8aa0\u4e5f\uff0c\u9ad8\u6728 \u82f1\u660e\uff08\u7b51\u6ce2\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>Variance Fitting Method of Self-similar Traffic with Markov-modulated Poisson Process<br \/>\n\t<br \/>\u5409\u539f \u5fe0\u53f2\uff08NTT\u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u7814\u7a76\u6240\uff09\uff0c\u7b20\u539f \u6b63\u6cbb\uff0c\u9ad8\u6a4b \u8c4a\uff08\u5948\u826f\u5148\u7aef\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>On M\/G\/1 Queues with the First N Customers of Each Busy Period Receiving Exceptional Services<br \/>\n\t<br \/>\u99ac\u5834 \u88d5\uff08\u6a2a\u6d5c\u56fd\u7acb\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u30de\u30eb\u30b3\u30d5\u5230\u7740\u3092\u6301\u30642\u30ce\u30fc\u30c9\u5f85\u3061\u884c\u5217\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u6e1b\u8870\u7387\u306b\u3064\u3044\u3066<br \/>\n\t<br \/>\u52a0\u85e4 \u61b2\u4e00\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09\uff0c\u7267\u672c \u76f4\u6a39\uff08\u7b51\u6ce2\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>3\u91cd\u4e26\u5217\u5f85\u3061\u884c\u5217 M\/M,M,M\/3 \u306e\u5b9a\u5e38\u5206\u5e03\u306e\u6f38\u8fd1\u6027\u306b\u3064\u3044\u3066<br \/>\n\t<br \/>\u4ee3\u7530 \u5c06\u4e5f\uff0c\u85e4\u672c \u8861\uff0c\u9ad8\u6a4b \u5e78\u96c4\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>Large Deviation Theory \u306b\u57fa\u3065\u304f\u512a\u5148\u5236\u5fa1\u4ed8\u304d ATM \u4ea4\u63db\u6a5f\u306e\u7279\u6027\u8a55\u4fa1<br \/>\n\t<br \/>\u5e73\u6797 \u512a\u6cbb\uff0c\u4e2d\u5ddd \u5065\u6cbb\uff08\u9577\u5ca1\u6280\u8853\u79d1\u5b66\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>CDMA \u65b9\u5f0f\u306e\u30bb\u30eb\u30e9\u901a\u4fe1\u7db2\u306b\u304a\u3051\u308b\u547c\u640d\u7387\u306e\u8a55\u4fa1<br \/>\n\t<br \/>\u5927\u898b\u5ddd \u7a14\uff0c\u9ad8\u6728 \u82f1\u660e\uff08\u7b51\u6ce2\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u65e5\u672c\u7684\u751f\u7523\u65b9\u5f0f\u306e\u5f85\u3061\u884c\u5217\u7684\u8003\u5bdf\u30682\u6bb5\u968e\u8a2d\u8a08<br \/>\n\t<br \/>\u677e\u4e95 \u6b63\u4e4b\uff0c\u5f35 \u8d85\uff08\u96fb\u6c17\u901a\u4fe1\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>The Spectral Analysis of a Queueing System with Homogeneous Sources<br \/>\n\t<br \/>\u539f\u5cf6 \u539a\u5fd7\uff0c\u897f\u6751 \u5f70\u4e00\uff08\u6771\u4eac\u7406\u79d1\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>Web \u30b5\u30fc\u30d0\u9078\u629e\u65b9\u5f0f\u306e\u7279\u6027\u306b\u95a2\u3059\u308b\u4e00\u8003\u5bdf<br \/>\n\t<br \/>\u5bcc\u6ca2 \u8003\u5f18\uff0c\u5c71\u672c \u6f6e\uff0c\u5c0f\u91ce\u91cc \u597d\u90a6\uff08\u7fa4\u99ac\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u975e\u5272\u308a\u8fbc\u307f\u578b\u6642\u9593\u5236\u9650\u5f0f\u534a\u4e8c\u91cd\u901a\u4fe1\u65b9\u5f0f\u306e\u4f1d\u9001\u9045\u5ef6\u7279\u6027\u306e\u89e3\u6790<br \/>\n\t<br \/>\u85e4\u4e95 \u76f4\u5b5d\uff0c\u5c0f\u6797 \u9999\uff0c\u7247\u5c71 \u52c1\uff08\u5bcc\u5c71\u770c\u7acb\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u30b5\u30fc\u30d3\u30b9\u30bb\u30f3\u30bf\u30fc\u306e\u6700\u9069\u914d\u7f6e\u554f\u984c\u3068\u305d\u306e\u62e1\u5f35<br \/>\n\t<br \/>\u5927\u5c71 \u5d07\uff08\u6771\u4eac\u7406\u79d1\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>MPEG-2 \u4f1d\u9001\u306b\u304a\u3051\u308b\u4f4e\u9045\u5ef6\u306e\u305f\u3081\u306e\u30ec\u30fc\u30c8\u5236\u5fa1<br \/>\n\t<br \/>\u5d8b\u7530 \u90a6\u662d\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09\uff0c\u5927\u5c71 \u516c\u4e00\uff08\u901a\u4fe1\u30fb\u653e\u9001\u6a5f\u69cb\uff09\uff0c\u4e45\u4fdd\u7530 \u6587\u4eba\uff08\u90f5\u653f\u7701\u901a\u4fe1\u7dcf\u5408\u7814\u7a76\u6240\uff09\uff0c\u9ad8\u6a4b \u5e78\u96c4\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u8907\u6570\u306e\u5230\u7740\u6d41\u3092\u3082\u3064\u5358\u4e00\u30b5\u30fc\u30d0\u5f85\u3061\u884c\u5217<br \/>\n\t<br \/>\u6edd\u6839 \u54f2\u54c9\uff08\u4eac\u90fd\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u5f85\u3061\u884c\u5217\u7406\u8ad6\u306b\u671f\u5f85\u3059\u308b\u3053\u3068\u2212\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5fdc\u7528\u306e\u7acb\u5834\u304b\u3089\u4e00<br \/>\n\t<br \/>\u6751\u7530 \u6b63\u5e78\uff08\u5927\u962a\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>On-line Sensitivity Analysis of Feedback Controlled Queueing Systems with Respect to Buffer Capacity<br \/>\n\t<br \/>\u77f3\u5d0e \u6587\u96c4\uff08\u5fb3\u5cf6\u5927\u5b66\uff09\uff0cGeorge Lin\uff0cTatsuya Suda\uff08University of California, Irvine\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u5f85\u3061\u3092\u4f34\u3046\u30b8\u30e7\u30d6\u306e\u6700\u9069\u51e6\u7406\u554f\u984c<br \/>\n\t<br \/>\u5c0f\u67f3 \u6df3\u4e8c\uff0c\u6cb3\u5408 \u4e00\uff08\u9ce5\u53d6\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>An Optimal Stopping Problem for a Geometric Brownian Motion with Poissonian Jumps<br \/>\n\t<br \/>\u5927\u897f \u5321\u5149\uff08\u5927\u962a\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u7dda\u4e0a\u306b\u914d\u7f6e\u3055\u308c\u305f\u79fb\u52d5\u4f53\u901a\u4fe1\u57fa\u5730\u5c40\u306b\u304a\u3051\u308b\u547c\u640d\u7387\u306e\u8a08\u7b97\u306b\u3064\u3044\u3066<br \/>\n\t<br \/>\u85e4\u672c \u8861\uff0c\u9ad8\u6a4b \u5e78\u96c4\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09\n\t<\/ul>\n<\/p>\n<ul>\n<li>\u79fb\u52d5\u4f53\u901a\u4fe1\u7db2\u306b\u304a\u3051\u308b\u57fa\u5730\u5c40\u8a2d\u7f6e\u653f\u7b56\u306b\u3064\u3044\u3066<br \/>\n\t<br \/>\u5c71\u7530 \u5b5d\u5b50\uff08\u5c71\u5f62\u5927\u5b66\uff09\uff0c\u9ad8\u6a4b \u5e78\u96c4\uff08\u6771\u4eac\u5de5\u696d\u5927\u5b66\uff09\n\t<\/ul><\/p>\n","protected":false},"excerpt":{"rendered":"<p>1998\u5e74\u5ea6\uff08\u7b2c17\u56de\uff09\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 &#8220;\u60c5\u5831\u901a\u4fe1\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u65b0\u3057\u3044\u6027\u80fd\u8a55\u4fa1\u6cd5\u306b\u95a2\u3059\u308b\u7dcf\u5408\u7684\u7814\u7a76&#8221; \u65e5\u6642: 1999\u5e741\u670825-27\u65e5 \u5834\u6240: \u6d5c\u677e\u30fb\u6d5c\u540d\u8358 \u79d1\u5b66\u7814\u7a76\u8cbb\u88dc\u52a9\u91d1 \u57fa\u76e4\u7814\u7a76 (A)(1 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":24,"menu_order":40,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_mc_calendar":[]},"_links":{"self":[{"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages\/190"}],"collection":[{"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/comments?post=190"}],"version-history":[{"count":2,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages\/190\/revisions"}],"predecessor-version":[{"id":232,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages\/190\/revisions\/232"}],"up":[{"embeddable":true,"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/pages\/24"}],"wp:attachment":[{"href":"https:\/\/orsj.org\/queue\/wp-json\/wp\/v2\/media?parent=190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}