Over the years, different meanings have been associated with the word consistency in the
distributed systems community. While in the'80s “consistency” typically meant strong …

Function-as-a-Service (FaaS) platforms and" serverless" cloud computing are becoming
increasingly popular. Current FaaS offerings are targeted at stateless functions that do …

In recent years, we have witnessed a revival of the use of recursive queries in a variety of
emerging application domains such as data integration and exchange, information …

Naiad is a distributed system for executing data parallel, cyclic dataflow programs. It offers
the high throughput of batch processors, the low latency of stream processors, and the ability …

Minimizing coordination, or blocking communication between concurrently executing
operations, is key to maximizing scalability, availability, and high performance in database …

Geographically distributed systems often rely on replicated eventually consistent data stores
to achieve availability and performance. To resolve conflicting updates at different replicas …

Differential Dataflow Page 1 Differential Dataflow McSherry, Frank D., Murray, Derek G.,
Isaacs, Rebecca, Isard, Michael Chathura Kankanamge 08th November 2016 Page 2 Outline …

There is great interest in exploiting the opportunity provided by cloud computing platforms
for large-scale analytics. Among these platforms, Apache Spark is growing in popularity for …

Modern cloud providers offer dense hardware with multiple cores and large memories,
hosted in global platforms. This raises the challenge of implementing high-performance …

In this paper, we analyze Blockchain consensus protocols in the lens of the foundations of
distributed computing. Our goal is to present analogies and connections between …