We propose a framework for component-based modeling of distributed systems. It provides separation of concerns between computation (in object oriented components), coordination (vi...
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Efficient data management is a key component in achieving good performance for scientific workflows in distributed environments. Workflow applications typically communicate data be...
We describe a distributed system architecture that supports the integration of different front-office trading systems with middle and back-office systems, each of which have been ...
Wolfgang Emmerich, Walter Schwarz, Anthony Finkels...
Recent advances in computing and communication have given rise to the computational grid notion. The core of this computing paradigm is the design of a system for drawing compute ...