Far-memory techniques that enable applications to use remote memory are increasingly
appealing in modern datacenters, supporting applications' large memory footprint and …

Many applications can benefit from data that increases performance but is not required for
correctness (commonly referred to as soft state). Examples include cached data from …

Datacenters of today have maintained the same architecture for decades. The building block
of the datacenter remains the server, which tightly couples the necessary compute …

Today, we are seeing two trends in the data center. On the one hand, applications are
becoming more fine-grained, driven by the recent trend of serverless computing and …

With rapid advances in network hardware, far memory has gained a great deal of traction
due to its ability to break the memory capacity wall. Existing far memory systems fall into one …

Due to the unprecedented development of low-latency interconnect technology, building
large-scale disaggregated architecture is drawing more and more attention from both …

FaaS (function-as-a-service) is becoming a popular workload in cloud environments due to
its virtues such as auto-scaling and pay-as-you-go. High-level languages like JavaScript …

Garbage collection (GC) pauses are a notorious issue threatening the latency of
applications. To mitigate this problem, state-of-the-art concurrent copying collectors allow …

In contemporary database applications, the demand for memory resources is intensively
high. To enhance adaptability to varying resource needs and improve cost efficiency, the …

Despite being a powerful concept, distributed shared memory (DSM) has not been made
practical due to the extensive synchronization needed between servers to implement …