Cloud Optimized Storage Solutions


In previous Cloud Optimized Storage Solution articles, I’ve discussed the content being stored, the method of storage, as well as principles derived from data tiering.  Today, I want to jump ahead a bit and discuss how neural networks and heuristics can impact the processing of object and file data for the cloud.

One of the more recent advancements within computing has been the application of heuristics and neural networking. Heuristics is defined as being “…an educational method in which learning takes place through discoveries that result from investigations…“ While heuristics has historically been used in such products like anti-virus software, it provides an incredible wealth of capability and technology for the COSS solution. Similarly, neural networks provide capacitive understanding of processing layers and optimizations that learn patterns based on underlying statistical data. How do these two technologies apply to COSS?

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In part one of the COSS series, we discussed the nature of content within the cloud.  After determining the nature of the content being stored, it is important to understand how this unstructured and structured content will be stored.  The mechanism for storage has significant impact on a provider’s Service Level Agreement (SLA) to the end user and can also promote the concept of tiered storage within the cloud as well.  To evaluate this storage mechanism, you need to pull apart the storage path to determine what influences it has on the content being stored.  Technologies such as encryption, de-duplication, compression, object-model storage (a la XAM), and even the underlying file system can have a large part in storage and the subsequent retrieval.

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