The unrelenting growth of the memory needs of emerging datacenter applications, along
with ever increasing cost and volatility of DRAM prices, has led to DRAM being a major …

To mitigate climate change, we must reduce carbon emissions from hyperscale cloud
computing. We find that cloud compute servers cause the majority of emissions in a general …

As a cache eviction algorithm, FIFO has a lot of attractive properties, such as simplicity,
speed, scalability, and flash-friendliness. The most prominent criticism of FIFO is its low …

Web applications rely heavily on software caches to achieve low-latency, high-throughput
services. To adapt to changing workloads, three types of learned caches (learned evictions) …

Datacenters need to reduce embodied carbon emissions, particularly for flash, which
accounts for 40% of embodied carbon in servers. However, decreasing flash's embodied …

The recent emergence of low-power high-throughput programmable storage platforms-
SmartNIC JBOF (just-a-bunch-of-flash)-motivates us to rethink the cluster architecture and …

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 …

Many modern key-value stores, such as RocksDB, rely on log-structured merge trees
(LSMs). Originally designed for spinning disks, LSMs optimize for write performance by only …

Flash caches are used to reduce peak backend load for throughput-constrained data center
services, reducing the total number of backend servers required. Bulk storage systems are a …

Serverless computing is an increasingly attractive paradigm in the cloud due to its ease of
use and fine-grained pay-for-what-you-use billing. However, serverless computing poses …