Reliable computation of workload distributions using semi-Markov processes

被引：0

作者：

Kempken, Sebastian ^{[1
]}

Luther, Wolfram ^{[1
]}

Traczinski, Daniela ^{[1
]}

Hasslinger, Gerhard ^{[1
]}

机构：

[1] Univ Duisburg Essen, Inst Comp Sci & Interact Syst, Duisburg, Germany

来源：

ASMTA 2006: 13th International Conference on Analytical and Stochastic Modelling Techniques and Applications, Proceedings | 2006年

关键词：

reliable algorithms; stochastic traffic modeling;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In stochastic traffic modeling, the computation of workload distributions plays a prominent role since they influence the quality of service parameters. InterVerdiKom is a workload analysis tool that uses two different techniques: the polynomial factorization approach and the Wiener-Hopf factorization to determine the workload distributions of GI/GI/1 and SMP/GI/1 service systems accurately.

引用

页码：111 / 116

页数：6

共 50 条

[21] Entropy Maximization for Markov and Semi-Markov Processes
Valerie Girardin
[J]. Methodology And Computing In Applied Probability, 2004, 6 : 109 - 127
[22] A MARKOV PROPERTY TEST FOR SEMI-MARKOV PROCESSES
KHARLAMOV, BP
[J]. THEORY OF PROBABILITY AND ITS APPLICATIONS, 1980, 25 (03) : 526 - 539
[23] Evaluation of Machinery Readiness Using Semi-Markov Processes
Swiderski, Andrzej
Borucka, Anna
Grzelak, Malgorzata
Gil, Leszek
[J]. APPLIED SCIENCES-BASEL, 2020, 10 (04):
[24] PERFORMABILITY ANALYSIS USING SEMI-MARKOV REWARD PROCESSES
CIARDO, G
MARIE, RA
SERICOLA, B
TRIVEDI, KS
[J]. IEEE TRANSACTIONS ON COMPUTERS, 1990, 39 (10) : 1251 - 1264
[25] Entropy maximization for Markov and semi-Markov processes
Girardin, V
[J]. METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 2004, 6 (01) : 109 - 127
[26] Solving generalized semi-Markov decision processes using continuous phase-type distributions
Younes, HLS
Simmons, RG
[J]. PROCEEDING OF THE NINETEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE SIXTEENTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2004, : 742 - 747
[27] Passage-time computation and aggregation strategies for large semi-Markov processes
Guenther, Marcel C.
Dingle, Nicholas J.
Bradley, Jeremy T.
Knottenbelt, William J.
[J]. PERFORMANCE EVALUATION, 2011, 68 (03) : 221 - 236
[28] Reward Algorithms for Semi-Markov Processes
Dmitrii Silvestrov
Raimondo Manca
[J]. Methodology and Computing in Applied Probability, 2017, 19 : 1191 - 1209
[29] The Class of Semi-Markov Accumulation Processes
Jean-Marie, Alain
Vatamidou, Eleni
[J]. INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017), 2018, 1978
[30] SYSTEM ANALYSIS OF SEMI-MARKOV PROCESSES
HOWARD, RA
[J]. IEEE TRANSACTIONS ON MILITARY ELECTRONICS, 1964, MIL8 (02): : 114 - &

← 1 2 3 4 5 →