|Title||An Adaptive Model for Parallel I/O Processing|
|Publication Type||Conference Paper|
|Year of Publication||1999|
Modern I/O subsystems have increased capacity and density but their performance has not been improved accordingly. To address this problem we have developed a new model that is based on feedback information provided to the I/O subsystem controller. The presented model is applied to a multiple disk drive subsystem which serves requests in parallel. Under conventional servicing, each request refers to a specific drive and is placed on the corresponding disk drive queue in order to be serviced. The proposed feedback-based model redirects requests among disk drives towards performance gain. The feedback is evaluated by a metric identified by the queue length per disk drive. The request servicing in a parallel disk drive subsystem is simulated and simulation runs measure both conventional and feedback-based servicing. The simulation results validate the presented model and prove that it shows an important improvement in both seek and servicing times compared with the conventional request servicing models.
An Adaptive Model for Parallel I/O Processing