Online Bandwidth Reduction Using Dynamic Partial Reconfiguration

摘要

Online compression of I/O-data streams in Custom Computing Machines will enhance the effective network band-width of computing systems as well as storage bandwidth and capacity. In this paper a self-adaptive dynamic partial reconfigurable architecture for online compression is proposed. The proposed architecture will bring new possibilities in online compression due to its adaptivity to dynamic environments. In this study, network traffic, and input data distribution are considered as two dynamic behaviors. The degree of improvement provided by the architecture depends on data distribution, bandwidth, and available resources. Our analysis shows an improvement of up to 20% in compression ratios in comparison to non-adaptive approaches.