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 straightforward and simple. However, larger enterprise-class systems that intend to grow, that must bridge other media platforms and peripherals, and that 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, provides 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, underrated system can be alleviated.
- Print ISSN
- 1545-0279
- Electronic ISSN
- 2160-2492
- Published
- 2013-11
- Content type
- Original Research
- DOI
- 10.5594/j18358XY