We live in an increasingly interconnected world, with many organizations operating across
countries or even continents. To serve their global user base, organizations are replacing …

For decades, applications deployed on a world-wide scale have been forced to give up at
least one of (1) strict serializability (2) low latency writes (3) high transactional throughput. In …

Online applications now routinely replicate their data at multiple sites around the world. In
this paper we present Atlas, the first state-machine replication protocol tailored for such …

Leader-based consensus algorithms are fast and efficient under normal conditions, but lack
robustness to adverse conditions due to their reliance on timeouts for liveness. We present …

Byzantine Fault-Tolerant (BFT) protocols cover a broad spectrum of design dimensions from
infrastructure settings, such as the communication topology, to more technical features, such …

Strongly consistent replication helps keep application logic simple and provides significant
benefits for correctness and manageability. Unfortunately, the adoption of strongly …

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 …

The problem of distributed consensus has played a major role in the development of
distributed data management systems. This includes the development of distributed atomic …

The byzantine fault-tolerance model captures a wide-range of failures-common in real-world
scenarios-such as ones due to malicious attacks and arbitrary software/hardware errors. We …

Edge computing is an emerging computing paradigm where data is generated and
processed in the field using distributed computing devices. Many applications such as real …