Performance Measures of Queuing Models Using Cloud Computing
DOI:
https://doi.org/10.51983/ajeat-2015.4.1.751Keywords:
Cloud Computing, Queue length, Waiting time, Queuing Model, QOSAbstract
Cloud computing is an emerging technology to provide cost effective and to deliver the business application services in an adaptable way. In cloud computing, multi resources such as processing, bandwidth and storage, need to be allocated simultaneously to multiple users. It is becoming a development trend. The process of entering into the cloud is generally in the form of queue, so that each user need to wait until the current user is being served. In the system, each Cloud Computing User (CCU) requests Cloud computing Service Provider (CCSP) to use the resources, if CCU finds that the server is busy, CCU’s needs to enter into the waiting line until CCSP completes its service to the previous CCU . So this may lead to bottleneck in the network.. So to solve this problem, it is the work of CCSP’s to provide service to users with less waiting time , otherwise there is a chance that the user might be leaving from queue. CCSP’s can use multiple servers for reducing queue length and waiting This paper proposes a (M/M/C):(∞/FIFO) Queuing model which is applied at multiple servers in order to reduce waiting time, queue length, the network performance and QOS effectively in cloud computing environment.
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