2022
DOI: 10.1080/16843703.2022.2092954
|View full text |Cite
|
Sign up to set email alerts
|

Performance analysis for Bernoulli feedback queues subject to disasters: a system with batch Poisson arrivals under a multiple vacation policy

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 34 publications
0
3
0
Order By: Relevance
“…The system functions within a multi-layered working vacation framework formed by Rajadurai et al [18]. In 2023, George Mytalas [19] conducted a study investigating the interaction among vacations, Bernoulli feedback, and occurrences of disasters followed by subsequent repair processes.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The system functions within a multi-layered working vacation framework formed by Rajadurai et al [18]. In 2023, George Mytalas [19] conducted a study investigating the interaction among vacations, Bernoulli feedback, and occurrences of disasters followed by subsequent repair processes.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Zhang and Xu [19] researched an M/M/1 queue with various working vacation periods and an N-policy. Mytalas and Zazanis [20] investigated a Markovian single-server queueing system with batch Poisson arrivals and instantaneous Bernoulli feedback that operated under a multiple-vacation policy.…”
Section: Survey Of Literaturementioning
confidence: 99%
“…Z. Azanis [6] studied 𝑀 /𝐺/1 queueing system with disasters and repairs under MAV policy. George C. Mytalas and Michael A. Zazanis [7] analyzed Bernoulli feedback queues subject to disasters: a system with batch Poisson arrivals under a multiple vacation policy. Jain, M., and Singh, M. [8] analyzed markov queueing model with feedback, discouragement and disaster.…”
Section: Introductionmentioning
confidence: 99%