Erasure Coding Market: Growing Popularity of Cloud Based Deployment Model

Albany, NY -- (SBWire) -- 04/13/2018 --Erasure coding provides better data resilience, and data durability or persistence, implying that it can remain for longer period of time regardless of the media it is being stored on. Erasure coding consumes less storage than mirroring, which doubles the volume of storage required. It offers higher and configurable levels of protection against hardware failure, is suited to very large scale and archival storage Erasure coding is useful for large quantities of data and applications or systems that need to tolerate failures, such as, data grids, disk array systems, object stores, distributed storage applications and archival storage. Erasure coding is useful for object-based cloud storage with very large volume of cloud storage users.

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Erasure codes are extensively used in data centers since they offer considerably higher reliability than data duplication methods at much lower storage overheads. Erasure coding is use broadly but majorly in large clusters having mission critical data, opting for resiliency. Due to the relatively large number of segments of an object. Erasure coding requires larger number of devices to achieve a desired level of fault-tolerance, hence, it is not useful for small clusters. Erasure coding offers advanced and configurable levels of protection against hardware failure and is suited for large scale and archival storage.

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Factors such reduced hardware and software requirements resulting in lower cost and higher durability and higher persistence of erasure coded data are likely to drive the erasure coding market. Along with functions such as latency tolerance and large capacity stores are anticipated to drive the erasure coding market during the forecast period. It is anticipated to be used for inactive data; and not dynamic data that's being used by databases or structured applications where response time is crucial. Although, some of the players are working on making erasure coding faster, for all purposes and to have small response times.