Performance Evaluation of the Priority Multi-Server System MMAP/PH/M/N Using Machine Learning Methods
نویسندگان
چکیده
In this paper, we present the results of a study priority multi-server queuing system with heterogeneous customers arriving according to marked Markovian arrival process (MMAP), phase-type service times (PH), and queue finite capacity. Priority traffic classes differ in PH distributions time probability joining queue, which depends on current length queue. If is full, customer does not enter system. An analytical model has been developed studied for particular case queueing two classes. We an algorithm calculating stationary probabilities state, loss probabilities, average number other performance characteristics case. For general K classes, new method assessing complex systems developed, based combination machine learning simulation methods. demonstrate high efficiency by providing numerical examples.
منابع مشابه
Analyzing the performance of different machine learning methods in determining the transportation mode using trajectory data
With the widespread advent of the smart phones equipping with Global Positioning System (GPS), a huge volume of users’ trajectory data was generated. To facilitate urban management and present appropriate services to users, studying these data was raised as a widespread research filed and has been developing since then. In this research, the transportation mode of users’ trajectories was identi...
متن کاملon the comparison of keyword and semantic-context methods of learning new vocabulary meaning
the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...
15 صفحه اولthe relationship between using language learning strategies, learners’ optimism, educational status, duration of learning and demotivation
with the growth of more humanistic approaches towards teaching foreign languages, more emphasis has been put on learners’ feelings, emotions and individual differences. one of the issues in teaching and learning english as a foreign language is demotivation. the purpose of this study was to investigate the relationship between the components of language learning strategies, optimism, duration o...
15 صفحه اولInvestigating the performance of machine learning-based methods in classroom reverberation time estimation using neural networks (Research Article)
Classrooms, as one of the most important educational environments, play a major role in the learning and academic progress of students. reverberation time, as one of the most important acoustic parameters inside rooms, has a significant effect on sound quality. The inefficiency of classical formulas such as Sabin, caused this article to examine the use of machine learning methods as an alternat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Mathematics
سال: 2021
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math9243236