As current trends start to move storage and computation to the edge in order to provide
support for latency constrained applications, new edge storage systems must emerge that …

Web applications rely on replicated databases to place data close to their users, and to
tolerate failures. Many replication systems opt for eventual consistency, which offers …

Several applications of distributed systems need to be highly scalable. For achieving high
availability and fault tolerance, such applications typically replicate their data. Due to the …

In cloud computing environments, data storage systems often rely on optimistic replication to
provide good performance and availability even in the presence of failures or network …

We introduce consistency-aware durability or Cad, a new approach to durability in
distributed storage that enables strong consistency while delivering high performance. We …

Modern distributed key-value (KV) stores adopt replication for fault tolerance by distributing
replicas of KV pairs across nodes. However, existing distributed KV stores often manage all …

Today, many applications offload computation and storage to the cloud. Unfortunately, the
high network latency between clients and datacenters can impair novel, latency-constrained …

We present the first scalable, geo-replicated storage system that guarantees low latency,
offers a rich data model, and provides “stronger” semantics. Namely, all client requests are …

Do some storage interfaces enable higher performance than others? Can one identify and
exploit such interfaces to realize high performance in storage systems? This article answers …

This paper introduces dual-quorum replication, a novel data replication algorithm designed
to support Internet edge services. Edge services allow clients to access Internet services via …