Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study congestion periods in a finite fluid buffer when the net input rate depends upon a recurrent Markov process; congestion occurs when the buffer content is equal to the buffer capacity. Similarly to O’Reilly and Palmowski (2013),  consider the duration of congestion periods as ll as the associated volume of lost information. While these quantities are characterized by their Laplace transforms in that paper,  presently derive their distributions in a typical stationary busy period of the buffer. Our goal is to compute the exact expression of the loss probability in the system, which is usually approximated by the probability that the occupancy of the infinite buffer is greater than the buffer capacity under consideration. Moreover, by using general results of the theory of Markovian arrival processes,  show that the duration of congestion and the volume of lost information have phase-type distributions.
['Fabrice Guillemin', 'Bruno Sericola']
I am writing a research paper on a idea Volume and duration of losses in finite buffer fluid queues
[{"from": "human", "value": "I am writing a research paper on a idea Volume and duration of losses in finite buffer fluid queues"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  study congestion periods in a finite fluid buffer when the net input rate depends upon a recurrent Markov process; congestion occurs when the buffer content is equal to the buffer capacity. Similarly to O\u2019Reilly and Palmowski (2013),  consider the duration of congestion periods as ll as the associated volume of lost information. While these quantities are characterized by their Laplace transforms in that paper,  presently derive their distributions in a typical stationary busy period of the buffer. Our goal is to compute the exact expression of the loss probability in the system, which is usually approximated by the probability that the occupancy of the infinite buffer is greater than the buffer capacity under consideration. Moreover, by using general results of the theory of Markovian arrival processes,  show that the duration of congestion and the volume of lost information have phase-type distributions."}]