Coding for Reliable Data Storage on Different Hardware Platforms

Abstract:
When systems are designed to tolerate faulty components, application data must be protected against loss. This is reached by a distribution of data together with addition of redundant elements according to an erasure-tolerant code. In this paper, we elaborate architectures for such a fault-tolerant data storage. The concepts are originated from distributed systems and mostly implemented by software. We extend these concepts for usage in the scope of system on chip architectures. On the one hand, systems on chips, and multi core systems are employed as a platform for code calculation - on the other hand, such architectures include these techniques to fulfill their own functionality. We explain how data coding is mapped to (i) multi core CPU structures and (ii) implemented in a specialized design on a FPGA. We compare the time for coding on these architectures for a Cauchy-Reed/Solomon and a classical Reed/Solomon code.