Actor frameworks and similar reactive programming techniques are widely used for building
concurrent systems. They promise to be efficient and scale well to a large number of cores or …

Local-first software manages and processes private data locally while still enabling
collaboration between multiple parties connected via partially unreliable networks. Such …

Failure transparency enables users to reason about distributed systems at a higher level of
abstraction, where complex failure-handling logic is hidden. This is especially true for …

Signals are principal abstraction in reactive programming languages and constitute the
basics of reactive computations in modern systems, such as the Internet of Things. Signals …

Reactive programming has many applications for embedded devices in IoT and other
application domains. For these constrained devices it is crucial to bound the overhead of the …

A signal in reactive programming (RP) is a function of time whose value is updated
automatically without performing explicit re-assignments. SignalJ, a Java-based RP …

Data centers are increasingly equipped with RDMAs. These network interfaces mark the
advent of a new distributed system model where a node can directly access the remote …

When facing major crisis events, such as earthquakes, flooding, or attacks on infrastructure,
people start to organize within their neighborhoods. While this has historically been an …

Multitier programming languages reduce the complexity of developing distributed systems
by developing the distributed system in a single coherent code base. The compiler or the …

Software rejuvenation is an effective technique to counteract software aging in continuously-
running application such as web service based systems. In client-server applications, where …