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SINGLE SERVER QUEUES WITH A BATCH MARKOVIAN ARRIVAL PROCESS AND BULK RENEWAL OR NON-RENEWAL SERVICE
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作者 A.D.Banik 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2015年第3期337-363,共27页
We first consider an infinite-buffer single server queue where arrivals occur according to a batch Markovian arrival process (BMAP). The server serves customers in batches of maximum size 'b' with a minimum thresh... We first consider an infinite-buffer single server queue where arrivals occur according to a batch Markovian arrival process (BMAP). The server serves customers in batches of maximum size 'b' with a minimum threshold size 'a'. The service time of each batch follows general distribution independent of each other as well as the arrival process. The proposed analysis is based on the use of matrix-analytic procedure to obtain queue-length distribution at a post-departure epoch. Next we obtain queue-length distributions at various other epochs such as, pre-arrival, arbitrary and pre-service using relations with post-departure epoch. Later we also obtain the system-length distributions at post-departure and arbitrary epochs using queue-length distribution at post-departure epoch. Some important performance measures, like mean queue-lengths and mean waiting times have been obtained Total expected cost function per trait time is also derived to determine the locally optimal values of a and b. Secondly, we perform similar analysis for the corresponding infinite-buffer single server queue where arrivals occur according to a BMAP and service process in this case follows a non-renewal one, namely, Markovian service process (MSP). 展开更多
关键词 bulk service (a b)-rule system-length distribution infinite-buffer QUEUE batch Markovian arrival process Markovian service process matrix-analytic procedure cost control cloud computing
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Stationary Analysis and Optimal Control Under Multiple Working Vacation Policy in a GI/Ma,b/1 Queue
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作者 PANDA Gopinath BANIK Abhijit Datta GUHA Dibyajyoti 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2018年第4期1003-1023,共21页
This paper considers an infinite buffer renewal input queue with multiple working vacation policy wherein customers are served by a single server according to general bulk service (a,b)-rule (1 ≤ a ≤ b). If the ... This paper considers an infinite buffer renewal input queue with multiple working vacation policy wherein customers are served by a single server according to general bulk service (a,b)-rule (1 ≤ a ≤ b). If the number of waiting customers in the system at a service completion epoch (during a normal busy period) is lower than 'a', then the server starts a vacation. During a vacation if the number of waiting customers reaches the minimum threshold size 'a', then the server starts serving this batch with a lower rate than that of the normal busy period. After completion of a batch service during working vacation, if the server finds less than takes another vacation, otherwise the server rate. The maximum allowed size of a batch a' customers accumulated in the system, then the server continues to serve the available batch with that lower in service is 'b'. The authors derive both queue-length and system-length distributions at pre-arrival epoch using both embedded Markov chain approach and the roots method. The arbitrary epoch probabilities are obtained using the classical argument based on renewal theory. Several performance measures like average queue and system-length, mean waiting-time, cost and profit optimization are studied and numerically computed. 展开更多
关键词 bulk service cost optimization mean idle period multiple working vacations roots method system-length
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