Modern scientific experiments can generate large amounts of data, which may be replicated and distributed across multiple resources to improve application performance and fault to...
Communication of large data volumes is a core functionality of distributed systems middleware, namely, for interconnecting components, for distributed computation and for fault tol...
A key challenge for distributed real-time and embedded (DRE) middleware is maintaining both system reliability and desired real-time performance in unpredictable environments wher...
Abstract. Dependable distributed applications require flexible infrastructure support for controlled redundancy, replication, and recovery of components and services. However, mos...
Abstract. We are witnessing a dramatic increase in the use of datacentric distributed systems such as global grid infrastructures, sensor networks, network monitoring, and various ...