This paper presents an analytical method for the performability evaluation of a proposed network memory server attached to a local area network. The proposed server is expected to improve data storage and retrieval. However, the underlying network will receive an increased amount of traffic which may have a significant effect on the network's performance. The proposed analytical model and its solution can be used to evaluate the performance of such a system. Mean queue lengths and the probability that the NMS queue is full are calculated and presented.

In this paper, we analysed the number of blocks that need to be prefetch for the streaming applications and the number of block request that could be clustered in a network buffer, so that the streaming applications can run without jittering and demand misses can be satisfied in reasonable time.

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Abstract