Context: The combination of distributed stream processing with microservice architectures is
an emerging pattern for building data-intensive software systems. In such systems, stream …

Distributed stream processing frameworks help building scalable and reliable applications
that perform transformations and aggregations on continuous data streams. This paper …

Function-as-a-Service (FaaS) is a promising edge computing execution model but requires
secure sandboxing mechanisms to isolate workloads from multiple tenants on constrained …

Function-as-a-Service (FaaS) is a promising paradigm for applications distributed across the
edge-cloud continuum. FaaS functions are stateless by nature, leading to high elasticity and …

Fog data processing systems provide key abstractions to manage data and event
processing in the geo-distributed and heterogeneous fog environment. The lack of …

Cloud-native applications constitute a recent trend for designing largescale software
systems. However, even though several cloud-native tools and patterns have emerged to …

Private and public actors are building massive LEO satellite communication networks.
Researchers have proposed extending edge computing to satellites for global low-latency …

Traditional databases and batch processing systems are not able to handle the loads
experienced by many modern applications in real-time. Consequently, in order to process …

Benchmarking can be used for evaluating software performance metrics within a controlled
environment, for example, to ensure the compliance with Service Level Agreements (SLAs) …

Scalability is a driving requirement for many software systems, especially for those designed
as cloud-native applications and event-driven microservices. Empirically evaluating and …