ParaScale Parallel Streaming Writes Solution

The best example of a data ingestion workload is video surveillance. Consider, for example, the city of London and its thousands of cameras, each streaming write operations to a media storage system. Every camera creates its own set of files and needs fast access to the storage. This is an excellent workload for ParaScale. A ParaScale cloud has many storage nodes that can ingest streams of information independently so there is no data bottleneck. A camera to storage node ratio can be established, such as 10 cameras per node, and then replicated out to hundreds of nodes, enabling thousands of cameras to store media on a petabyte size cloud. Since the ParaScale cloud storage solution is centrally managed, a single administrator can easily manage the video surveillance storage for the entire city.

ParaScale's open architecture permits data processing applications to co-exist with ParaScale software on storage nodes eliminating the requirement for a separate processing infrastructure. Moreover, processing data co-resident on the Storage Nodes reduces network latencies and enables hardware consolidation. ParaScale further reduces storage expenditures by running on user selected commodity storage and leveraging the industry's most cost-effective servers.