Performance Parameters in File Based Workflows

Establishing a high system performance value for rich-media file-based workflows is tightly coupled to storage, server and network bandwidths. Configuring small scale storage solutions can be straight forward and simple. However, larger enterprise class systems that intend to grow, that must bridge other media platforms and peripherals, and need to support multiple sets of clients and associated workflows require a proper storage solution with few limitations. The hidden issues that become performance killers in a large scale storage solution are frequently misunderstood. This paper presents some of those hidden parameters; provide examples on how systems can be designed for scalability in both capacity and bandwidth; and shows that by proper planning and implementation the consequences of a poorly designed, under rated system can be alleviated.

Published

2012-10

Content type

Original Research

Keywords

storage, RAID, workflows, systems, performance, bandwidth, file-based, fault tolerance, scalability

DOI

10.5594/M001436

ISBN

978-1-61482-952-2