This paper explores the feasibility of a cost-efficient storage architecture that offers the
reliability and access performance characteristics of a high-end system. This architecture …

Data store replication results in a fundamental trade-off between operation latency and data
consistency. In this paper, we examine this trade-off in the context of quorum-replicated data …

Geo-replicated, distributed data stores that support complex online applications, such as
social networks, must provide an" always-on" experience where operations always complete …

Raw data are often orders of magnitude larger than main memory for many applications. As
the performance of storage devices is still significantly slower than main memory, systems …

Edge computing is a new computing paradigm that has emerged to offload computation and
storage to edge devices in order to get a shorter response time and more efficient …

Chain replication is a new approach to coordinating clusters of fail-stop storage servers. The
approach is intended for supporting large-scale storage services that exhibit high throughput …

In multi-writer, multi-reader systems, data consistency is ensured by the number of replica
nodes contacted during read and write operations. Contacting a sufficient number of nodes …

Geo-replicated data platforms are the backbone of several large-scale online services.
Transactional Causal Consistency (TCC) is an attractive consistency level for building such …

Causal broadcast constitutes a fundamental communication primitive of many distributed
protocols and applications. However, state-of-the-art implementations fail to forget obsolete …

Data replication is a key building block for large-scale distributed systems to improve
availability, performance, and scalability. Because there is a fundamental trade-off between …