Storage systems have a strong need for substantially improving their error correction
capabilities, especially for long-term storage where the accumulating errors can exceed the …

The persistent storage of big data requires advanced error correction schemes. The
classical approach is to use error correcting codes (ECCs). This work studies an alternative …

As a common choice for fault tolerance in today's storage systems, erasure coding is still
hampered by the induced substantial traffic in repair. A variety of erasure codes and repair …

Erasure coding is widely used in storage systems, because it can offer higher reliability at
lower degree of data redundancy than data replication. However, erasure-coded systems …

In communication and storage systems, error correction codes (ECCs) are pivotal in
ensuring data reliability. As deep learning's applicability has broadened across diverse …

We study the trade-offs between storage/bandwidth and prediction accuracy of neural
networks that are stored in noisy media. Conventionally, it is assumed that all parameters …

Big-data storage has substantial challenges due to accumulative noise in storage media. To
ensure its long-term reliability, new techniques for error correction are being explored. This …

Nowadays erasure coding is one of the most significant techniques in cloud storage
systems, which provides both quick parallel I/O processing and high capabilities of fault …

Conventional error correction codes (ECCs), such as the commonly used BCH code, have
become increasingly inadequate for solid state drives (SSDs) as the capacity of NAND flash …

In order to handle the dramatic growth of digital data, cloud storage systems demand novel
techniques to improve data reliability. Replication and erasure codes are the most important …