[PDF][PDF] Markovian arrivals in stochastic modelling: a survey and some new results (invited article with discussion: Rafael Pérez-Ocón, Miklos Telek and Yiqiang Q. Zhao …
JR Artalejo, A Gómez-Corral - SORT-Statistics and Operations Research …, 2010 - raco.cat
This paper aims to provide a comprehensive review on Markovian arrival processes (MAPs),
which constitute a rich class of point processes used extensively in stochastic modelling. Our …
which constitute a rich class of point processes used extensively in stochastic modelling. Our …
Characterization and prediction of mobile-app traffic using Markov modeling
Modeling network traffic is an endeavor actively carried on since early digital
communications, supporting a number of practical applications, that range from network …
communications, supporting a number of practical applications, that range from network …
Performance evaluation of OpenFlow-based software-defined networks based on queueing model
OpenFlow is one of the most famous protocols for controller-to-switch communications in
software-defined networking (SDN), commonly seen as a promising way towards future …
software-defined networking (SDN), commonly seen as a promising way towards future …
Modeling and performance analysis of large scale IaaS clouds
For Cloud based services to support enterprise class production workloads, Mainframe like
predictable performance is essential. However, the scale, complexity, and inherent resource …
predictable performance is essential. However, the scale, complexity, and inherent resource …
End-to-end performability analysis for infrastructure-as-a-service cloud: An interacting stochastic models approach
Handling diverse client demands and managing unexpected failures without degrading
performance are two key promises of a cloud delivered service. However, evaluation of a …
performance are two key promises of a cloud delivered service. However, evaluation of a …
Adaptive and robust routing with Lyapunov-based deep RL in MEC networks enabled by blockchains
The most recent development of the Internet of Things brings massive timely sensitive and
bursty data flows. Also, joint optimization on storage, computation, and communication is in …
bursty data flows. Also, joint optimization on storage, computation, and communication is in …
A cold standby repairable system with working vacations and vacation interruption following Markovian arrival process
B Liu, L Cui, Y Wen, J Shen - Reliability Engineering & System Safety, 2015 - Elsevier
This paper studies a cold standby repairable system with working vacations and vacation
interruptions. The repairman׳ s multiple vacation, the working vacation policy and the …
interruptions. The repairman׳ s multiple vacation, the working vacation policy and the …
Software reliability prediction and management: A multiple change‐point model approach
SZ Ke, CY Huang - Quality and Reliability Engineering …, 2020 - Wiley Online Library
It is commonly recognized that software development is highly unpredictable and software
quality may not be easily enhanced after software product is finished. During the software …
quality may not be easily enhanced after software product is finished. During the software …
Modelling and analysis of the impact of correlated inter-event data on production control using Markovian arrival processes
Empirical studies show that the inter-event times of a production system are correlated.
However, most of the analytical studies for the analysis and control of production systems …
However, most of the analytical studies for the analysis and control of production systems …
Fitting phase-type distributions and Markovian arrival processes: Algorithms and tools
This chapter provides a comprehensive survey of PH (phase-type) distribution and MAP
(Markovian arrival process) fitting. The PH distribution and MAP are widely used in analytical …
(Markovian arrival process) fitting. The PH distribution and MAP are widely used in analytical …