A Comparative Study of K-Erlang Distribution and M/M/1 Model in Cloud Computing

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A Comparative Study of K-Erlang Distribution and M/M/1 Model in Cloud Computing

Author : K.Ruth Evangelin and T.Dhikhi
Volume 4 No.1 January-June 2015 pp 40-43

Abstract

Cloud computing is a new emerging computing paradigm in which information and computer resources can be
accessed from Web browser by the users. Arriving customers who find the server busy may retry for service after a period of time in Queuing systems is a Retrial queue. If a new customer, after connected to the cloud service does not find any server free, the system automatically redirects the request towards a waiting queue. At that moment, if that waiting queue is also fully occupied by other customers, then the newly arrived customer has to retry for service after certain time period. This technique is known as Retrial queues. Priority of service request is an important issue because some requests have to be serviced earlier than others. These are requests which can’t stay for a long time in the queueing system. A comparative study on the waiting time of M/Ek/n ( n=1) and M/M/1 queuing system with cloud computing service station. This influences the queueing system to reduce the mean waiting time.

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Cloud computing is a new emerging computing paradigm in which information and computer resources can be accessed from Web browser by the users. Arriving customers who find the server busy may retry for service after a period of time in Queuing systems is a Retrial queue. If a new customer, after connected to the cloud service does not find any server free, the system automatically redirects the request towards a waiting queue. At that moment, if that waiting queue is also fully occupied by other customers, then the newly arrived customer has to retry for service after certain time period. This technique is known as Retrial queues. Priority of service request is an important issue because some requests have to be serviced earlier than others. These are requests which can’t stay for a long time in the queueing system. A comparative study on the waiting time of M/Ek/n ( n=1) and M/M/1 queuing system with cloud computing service station. This influences the queueing system to reduce the mean waiting time.