Stream processing has been an active research field for more than 20 years, but it is now
witnessing its prime time due to recent successful efforts by the research community and …

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

In recent years, serverless computing has become one of the popular approaches to
develo** and running applications, allowing developers to run their code directly in the …

Portals is a serverless, distributed programming model that blends the exactly-once
processing guarantees of stateful dataflow streaming frameworks with the message-driven …

Developers increasingly use function-as-a-service (FaaS) platforms for data-centric
applications that perform low-latency and transactional operations on data, such as for …

In cloud event processing, data generated at the edge is processed in real-time by cloud
resources. Both distributed stream processing (DSP) and Function-as-a-Service (FaaS) …

Function-as-a-Service (FaaS) platforms have recently gained rapid popularity. Many stateful
applications have been migrated to FaaS platforms due to their ease of deployment …

Serverless computing is currently the fastest-growing cloud services segment. The most
prominent serverless offering is Function-as-a-Service (FaaS), where users write functions …

Existing cloud computing (or serverless) architectures provide convenient abstractions for
application developers, but exhibit high latencies and do not support strong consistency …

Although the cloud has reached a state of robustness, the burden of using its resources falls
on the shoulders of programmers who struggle to keep up with ever-growing cloud …