In this paper, we propose a new method to allocate bandwidth adaptively according to the amount of input traffic volume for a long range dependent traffic requiring Quality of Service (QoS). In the proposed method, we divide the input process, which is modelled by an M/G/∞ input process, into two sub-processes, called a long time scale process and a short time scale process. For the long time scale process we estimate the required bandwidth using the linear prediction. Since the long time scale process varies (relatively) slowly, the required bandwidth doesn't need to be estimated frequently. On the other hand, for the short time scale process, we use the large deviation theory to estimate the effective bandwidth of the short time scale process based on the required QoS of the input traffic. By doing this we can capture the short time scale fluctuation by a buffer and the long time scale fluctuation by increasing or decreasing the bandwidth adaptively. Through simulations we verify that our proposed method performs well to satisfy the required QoS.

This study reports a rare case of ulnar neuropathy around the arm with Martin-Gruber anastomosis of a moderate conduction block in the forearm segment and a severe conduction block in the arm segment. Inching tests and ultrasonography showed a lesion between 12 and 14 cm from the medial epicondyle. It is concluded that axilla stimulation may provide diagnostic clues, and inching tests and ultrasonography may be helpful for localizing a lesion.

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