control flow are important concerns in distributed systems integration. Modularity is a fundamental principle in software design [2], in particular for distributed system architectures. Modularity emphasizes high cohesion of individual modules and low coupling between modules. Microservices are a recent modularization approach

Sep 1, 2024 · In this article, we propose an extended usage control model for distributed systems, by introducing elements of decentralized information flow control (DIFC) into the state-of-the-art formalism (Kelbert and Pretschner, 2018). The extension of the former modeling is justified by the need to consider all the aspects of the distribution, including ...

decisions across a set of computing devices in a distributed system. For performance, scalability, and expressiveness, a machine learn- ing system must support dynamic control flow in distributed and heterogeneous environments.

May 4, 2018 · This paper presents a programming model for distributed machine learning that supports dynamic control flow. We describe the design of the programming model, and its implementation in TensorFlow, a distributed machine learning system.

When we consider the application layer1 of networked infrastructures, data and control flow are important concerns in distributed systems integration. Modularity is a fundamental principle in software design,2 in particular for distributed system architectures.

Jul 1, 2021 · We discuss coupling in distributed systems integration and reflect the history of business process modeling with respect to data and control flow. To illustrate our recommendations, we...

In this survey, we review the research literature and identify how DDS handle control flow, such as iteration, from both the programming model and execution level perspectives. This survey will be of interest for both users and designers of DDS. tems; MapReduce languages. Gábor E. Gévay, Juan Soto, and Volker Markl. 2021.

concurrent histories and Graphs for Distributed Systems (GDS), both based on partial orderings. The models are largely consistent, the latter being a richer version of the former, conceived as a speCification formalism for distributed systems. The semantic aspects of the first model are studied in finer detail,

Jun 21, 2024 · It’s widely agreed that excessive coupling hampers software evolution and can make systems brittle. But how much coupling is “right”? How do you measure coupling in the first place?

At control flow level, an application-oriented cooperation model is used to model well-structured cooperative work in distributed applications. At data flow level, a customizable data management mechanism passes data between activities and provides data necessary for activity execution.