An efficient strategy to support continuous retrieval with dynamic bandwidths

To efficiently support continuous retrieval for continuous media, many approaches based on the striping strategy that is implemented on a multi-disk drive have been proposed. However, the striping strategy only considers the fixed bandwidth of an object. Moreover, the aggregate bandwidth of the multi-disk drive is determined when the object is striped. Furthermore, for some applications, such as self-learning systems, users may quickly browse some familiar objects while they will slowly scan some unfamiliar objects. Therefore, we propose an efficient approach to supporting continuous retrieval with dynamic required bandwidths without reorganizing the whole striped object. From the performance study, we observe that the number of subobjects that must be moved is proportional to the initial required bandwidth and the current required bandwidth