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 …

By offering storage services in several geographically distributed data centers, cloud
computing platforms enable applications to offer low latency access to user data. However …

Currently, users of geo-distributed storage systems face a hard choice between having
serializable transactions with high latency, or limited or no transactions with low latency. We …

In cloud computing, workloads that lease instances on demand get to execute exclusively for
a set time. In contrast, workloads that lease spot instances execute until a competing …

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

This paper proposes a Geo-distributed key-value datastore, named ChainReaction, that
offers causal+ consistency, with high performance, fault-tolerance, and scalability …

Spinnaker is an experimental datastore that is designed to run on a large cluster of
commodity servers in a single datacenter. It features key-based range partitioning, 3-way …

By replicating data across sites in multiple geographic regions, web services can maximize
availability and minimize latency for their users. However, when sacrificing data consistency …

Web service providers have been using NoSQL datastores to provide scalability and
availability for globally distributed data at the cost of sacrificing transactional guarantees …

Distributed storage systems aim to provide strong consistency and isolation guarantees on
an architecture that is partitioned across multiple shards for scalability and replicated for fault …