{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T06:41:25Z","timestamp":1698043285896},"reference-count":16,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2007,3,21]],"date-time":"2007-03-21T00:00:00Z","timestamp":1174435200000},"content-version":"vor","delay-in-days":6288,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems &amp; Computers in Japan"],"published-print":{"date-parts":[[1990,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>As a method of fast simulation of queueing networks by parallel processing there is D\u2010SSQ which uses the limited\u2010advance processing scheme. The processing capability of the limited\u2010advance processing scheme has been shown to increase linearly as the concurrency of the model increases. However, on the other hand, if the updating of the maximum logical time requires considerable time after which no processor backtracks (confirmed time), its performance is degraded considerably. Also, the optimal limit of advance must be estimated from the simulation model. In this paper, to improve on these shortcomings, a time\u2010event driven scheme is proposed. In this scheme the system clock is managed by a central processor and each processor performs the limited\u2010advance processing within a certain logical time (clock) of the system time. Second, an adaptive time\u2010event driven method is presented. In this scheme the optimal limit need not be estimated prior to execution and the global clock is changed dynamically to achieve the maximum performance. The processing capabilities of these two methods are measured by experiments and simulations on a main frame.<\/jats:p>","DOI":"10.1002\/scj.4690210101","type":"journal-article","created":{"date-parts":[[2007,7,7]],"date-time":"2007-07-07T18:36:48Z","timestamp":1183833408000},"page":"1-12","source":"Crossref","is-referenced-by-count":0,"title":["Time\u2010event driven scheme for distributed simulation with advance processing"],"prefix":"10.1002","volume":"21","author":[{"family":"Takashi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sadao","family":"Hizuka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Hidehiko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Yoshikazu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2007,3,21]]},"reference":[{"issue":"1","key":"e_1_2_1_2_2","first-page":"22","article-title":"Evaluation of a distributed communication network traffic simulator using microprocessors","volume":"68","author":"Inamori H.","year":"1985","journal-title":"I.E.C.E. Trans. (B)"},{"issue":"3","key":"e_1_2_1_3_2","first-page":"386","article-title":"A data\u2010driven\u2010type discrete simulator KDSS\u2010I","volume":"65","author":"Nakagawa T.","year":"1982","journal-title":"I.E.C.E. Trans. (D)"},{"key":"e_1_2_1_4_2","article-title":"A discrete queueing network simulator","volume":"83","author":"Satake T.","year":"1983","journal-title":"I.E.C.E. Tech. Report"},{"key":"e_1_2_1_5_2","volume-title":"Computer Networks","author":"Peacock J. K.","year":"1979"},{"key":"e_1_2_1_6_2","doi-asserted-by":"crossref","unstructured":"J. K.Peacock E.Manning andJ. W.Wong.Synchronization of Distributed Simulation Using a Broadcast Algorithm. Proc. 4th Berkeley Conference on Distributed Data Management and Computer Networks San Francisco (1979).","DOI":"10.1016\/0376-5075(80)90024-0"},{"issue":"5","key":"e_1_2_1_7_2","first-page":"465","article-title":"A time\u2010driven scheme using prediction in parallel processing of a discrete simulator","volume":"23","author":"Nakagawa H.","year":"1982","journal-title":"Trans. Japanese Information Society"},{"issue":"1","key":"e_1_2_1_8_2","article-title":"Discrete time management of discrete simulation","volume":"4","author":"Yoshida R.","year":"1987","journal-title":"Computer Software"},{"key":"e_1_2_1_9_2","unstructured":"D.JeffersonandH.Sowizral.Fast concurrent simulation using the time warp mechanism. Proc. of the SCS Distributed Simulation Conference. San Diego (1985)."},{"key":"e_1_2_1_10_2","unstructured":"D.Jefferson B.Beckman S.Hughes E.Levy T.Litwin J.Spagnuolo J.Vavrus F.Wieland andB.Zimmerman.Implementation of Time Warp on the Caltech Hypercube. 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Research group on queueing network and its applications. Research Report of Kyoto University Numerical Analysis Research Group 564(1985)."},{"issue":"10","key":"e_1_2_1_15_2","first-page":"1424","article-title":"Analysis of the processing capability of an asynchronous job parallel processing system employing the limited\u2010advance processing scheme","volume":"69","author":"Watanabe T.","year":"1986","journal-title":"I.E.C.E. Trans. (D)"},{"key":"e_1_2_1_16_2","unstructured":"S.Hizuka T.Watanabe K.Sato A.Nakanishi H.Sanada andY.Tezuka.On a time\u2010event\u2010driven queueing network simulator.1984I.E.C.E. 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