Given the skewed nature of practical key-value (KV) storage workloads, distributed KV
stores can adopt a tiered approach to support fast data access in a hot tier and persistent …

Many data services tune and change redundancy configurations of files over their lifetimes
to address changes in data temperature and latency requirements. Unfortunately, changing …

Erasure coding is a known redundancy technique that has been popularly deployed in
modern storage systems to protect against failures. By introducing a small portion of coded …

Erasure codes are typically used in distributed storage systems in order to protect against
failures and unavailabilities with low storage overhead. An important disadvantage of classic …

Erasure codes have become an integral part of distributed storage systems as a tool for
providing data reliability and durability under the constant threat of device failures. In such …

Matrix multiplication is a fundamental operation in various algorithms for big data analytics
and machine learning. As the size of the dataset increases rapidly, it is now a common …

Consensus protocols like Paxos and Raft provide data consistency and fault tolerance for
distributed services. Log replication in these protocols can be supported by erasure coding …

Modern large-scale distributed storage systems use erasure codes to protect against node
failures with low storage overhead. In practice, the failure rate and other factors of storage …

Distributed storage systems play a pivotal role in reliably storing huge volumes of data
across large clusters of storage devices. These systems predominantly employ erasure …

Most large-scale storage systems employ erasure coding to provide resilience against disk
failures. Recent work has shown that tuning this redundancy to changes in disk failure rates …