ParaScale Massive Read Bandwidth Solution

Video streaming and online video sharing are categorized as read intensive workloads. Consider, for example, last summer’s Beijing Olympics. There was unbelievable demand for online video of events, and, in the US, the focus was on men’s swimming. When the US relay team won by a fraction of a second, everybody wanted to watch. Millions of people flocked to the web and video servers churned out views. This creates a unique storage demand. With thousands of web servers trying to read a single file, the content storage software must support parallel reads of media content from a storage grid. With hundreds of independent nodes serving out many copies of the same file, ParaScale provides the ideal content storage solution to fulfill such read intensive workloads. Replicating data within the storage cloud is as simple as setting a policy at the virtual file system level. The ParaScale cloud storage software automatically and transparently creates the file replicas on different nodes and ensures support for atomic updates through file versioning.

Another example of read intensive workloads comes in the form of partitioned data. When feeding data into high performance computing clusters or data warehouses, the demand often overwhelms the bandwidth of traditional file serving solutions. With a ParaScale private cloud, administrators can partition the data and write a portion of the dataset to each node. When it comes time to recall the data, it can be pulled in parallel from many nodes. The result is massive read bandwidth and faster operations.