Distributed applications are traditionally developed as separate modules, often in different languages, which react to events, like user input, and in turn produce new events for the other modules. Separation into components requires time-consuming integration. Manual implementation of communication forces programmers to deal with low-level details. The combination of the two results in obscure distributed data flows scattered among multiple modules, hindering reasoning about the system as a whole. The ScalaLoci distributed programming language addresses these issues with a coherent model based on placement types that enables reasoning about distributed data flows, supporting multiple software architectures via dedicated language feature...
In the paper "Functional programming for distributed systems with XC" we present XC, a programming l...
When distributed systems first appeared, they were programmed in traditional sequential languages, u...
Driven by the widespread adoption of both cloud computing and mobile devices, distributed computing...
Distributed applications are traditionally developed as separate modules, often in different languag...
Today’s software, including many everyday services, such as online streaming, search engines and soc...
Multitier programming languages reduce the complexity of developing distributed systems by developin...
Programming distributed systems is notoriously hard due to - among the others - concurrency, asynchr...
As the amount of simultaneous users of distributed systems increase, scalability is becoming an impo...
A major problem in the development of distributed applications is that we cannot assume that the env...
It is undeniable that most developers today are building distributed applications. However, most of ...
Writing distributed applications is difficult because the programmer has to explicitly juggle many q...
A major problem in the development of distributed appli-cations is that we cannot assume that the en...
Distributed systems are difficult to reason about and program because of fundamental uncertainty in ...
Despite many advances in programming models and frameworks, writing distributed applications remains...
For decades distributed computing has been mainly an academic subject. Today, it has become mainstre...
In the paper "Functional programming for distributed systems with XC" we present XC, a programming l...
When distributed systems first appeared, they were programmed in traditional sequential languages, u...
Driven by the widespread adoption of both cloud computing and mobile devices, distributed computing...
Distributed applications are traditionally developed as separate modules, often in different languag...
Today’s software, including many everyday services, such as online streaming, search engines and soc...
Multitier programming languages reduce the complexity of developing distributed systems by developin...
Programming distributed systems is notoriously hard due to - among the others - concurrency, asynchr...
As the amount of simultaneous users of distributed systems increase, scalability is becoming an impo...
A major problem in the development of distributed applications is that we cannot assume that the env...
It is undeniable that most developers today are building distributed applications. However, most of ...
Writing distributed applications is difficult because the programmer has to explicitly juggle many q...
A major problem in the development of distributed appli-cations is that we cannot assume that the en...
Distributed systems are difficult to reason about and program because of fundamental uncertainty in ...
Despite many advances in programming models and frameworks, writing distributed applications remains...
For decades distributed computing has been mainly an academic subject. Today, it has become mainstre...
In the paper "Functional programming for distributed systems with XC" we present XC, a programming l...
When distributed systems first appeared, they were programmed in traditional sequential languages, u...
Driven by the widespread adoption of both cloud computing and mobile devices, distributed computing...