Most of the data in large-scale storage clusters is erasure coded. At exascale, optimizing
erasure codes for low storage overhead, efficient reconstruction, and easy deployment is of …

Major cloud providers have stated public plans to lower their carbon emissions. Historically,
this has meant focusing on emissions from producing the electricity consumed by …

Large-scale cluster storage systems use redundancy (via erasure coding) to ensure data
durability. Disk-adaptive redundancy—dynamically tailoring the redundancy scheme to …

Content Delivery Networks (CDNs) deliver much of the world's web and video content to
users from thousands of clusters deployed at the “edges” of the Internet. Maintaining …

Representative modeling of I/O activity is crucial when designing large-scale distributed
storage systems. Particularly important use cases are counterfactual" what-if" analyses that …

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 …

Erasure coding is a storage-efficient redundancy scheme for modern clustered storage
systems by storing stripes of data and parity blocks across the nodes of multiple clusters; in …

RAID (Redundant Array of Independent Disks) has been widely adopted for decades, as it
provides enhanced throughput and redundancy beyond what a single disk can offer. Today …

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 …