Developers of cloud-scale applications face a difficult decision of which kind of storage to use, summarised by the CAP theorem. Currently the choice is between classical CP databases, which provide strong guarantees but are slow, expensive, and unavailable under partition; and NoSQL-style AP databases, which are fast and available, but too hard to program against. We present an alternative: Cure provides the highest level of guarantees that remains compatible with availability. These guarantees include: causal consistency (no ordering anomalies), atomicity (consistent multi-key updates), and high-level data types (developer friendly) with safe resolution of concurrent updates (guaranteeing convergence). These guarantees minimise the anomal...
Datacenters provide an economical and practical solution for hosting large scale n-tier Web applicat...
Datacenters provide an economical and practical solution for hosting large scale n-tier Web applicat...
We consider the challenge of building data management systems that meet an important requirement of ...
International audienceDevelopers of cloud-scale applications face a difficult decision of which kind...
Today's large-scale cloud services must provide fast response and an "always-on" experience. Failing...
More and more, users store their data in the cloud. While the content is then retrieved, the retriev...
Today's large-scale cloud services must provide fast response and an "always-on" experience. Failing...
Large-scale application are typically built on top of geo-distributed databases running on multiple ...
Replicating data under Eventual Consistency (EC) allows any replica to accept updates without remote...
Client-side apps (e.g., mobile or in-browser) need cloud data to be available in a cache, for both ...
Engineering distributed systems is an onerous task: the design goals of performance, correctness and...
Datacenters provide an economical and practical solution for hosting large scale n-tier Web applicat...
High performance computing applications must be resilient to faults, which are common occurrences es...
Datacenters provide an economical and practical solution for hosting large scale n-tier Web applicat...
Datacenters provide an economical and practical solution for hosting large scale n-tier Web applicat...
Datacenters provide an economical and practical solution for hosting large scale n-tier Web applicat...
Datacenters provide an economical and practical solution for hosting large scale n-tier Web applicat...
We consider the challenge of building data management systems that meet an important requirement of ...
International audienceDevelopers of cloud-scale applications face a difficult decision of which kind...
Today's large-scale cloud services must provide fast response and an "always-on" experience. Failing...
More and more, users store their data in the cloud. While the content is then retrieved, the retriev...
Today's large-scale cloud services must provide fast response and an "always-on" experience. Failing...
Large-scale application are typically built on top of geo-distributed databases running on multiple ...
Replicating data under Eventual Consistency (EC) allows any replica to accept updates without remote...
Client-side apps (e.g., mobile or in-browser) need cloud data to be available in a cache, for both ...
Engineering distributed systems is an onerous task: the design goals of performance, correctness and...
Datacenters provide an economical and practical solution for hosting large scale n-tier Web applicat...
High performance computing applications must be resilient to faults, which are common occurrences es...
Datacenters provide an economical and practical solution for hosting large scale n-tier Web applicat...
Datacenters provide an economical and practical solution for hosting large scale n-tier Web applicat...
Datacenters provide an economical and practical solution for hosting large scale n-tier Web applicat...
Datacenters provide an economical and practical solution for hosting large scale n-tier Web applicat...
We consider the challenge of building data management systems that meet an important requirement of ...