Recent demands for storing and querying big data have revealed various shortcomings of
traditional relational database systems. This, in turn, has led to the emergence of a new kind …

The first edition of this book appeared in 1991 when the technology was new and there were
not too many products. In the Preface to the first edition, we had quoted Michael Stonebraker …

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 …

A fault-scalable service can be configured to tolerate increasing numbers of faults without
significant decreases in performance. The Query/Update (Q/U) protocol is a new tool that …

Serverless computing separates function execution from state management. Simple retry-
based fault tolerance might corrupt the shared state with duplicate updates. Existing …

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 …

Data grids, large scale web applications generating dynamic content and database service
providing pose significant scalability challenges to database engines. Replication is the …

In this paper, we address the problem of transparently scaling out transactional (OLTP)
workloads on relational databases, to support database-as-a-service in cloud computing …

Today's datacenter applications are underpinned by datastores that are responsible for
providing availability, consistency, and performance. For high availability in the presence of …

The widespread use of clusters and Web farms has increased the importance of data
replication. In this article, we show how to implement consistent and scalable data …