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This paper describes an integrated monitoring and control framework for managing performance of distributed enterprise systems.

Developing large-scale distributed real-time and embedded (DRE) systems is hard in part due to complex deployment and configuration …

In this paper, we describe the design of a scientific workflow execution framework that integrates runtime verification to monitor its …

A large number of embedded computing systems are modeled as hybrid system with both discrete and continuous dynamics. In this paper, we …

Fault-tolerant frameworks for large scale computing clusters require sensor programs, which are executed periodically to facilitate …

Probabilistic models are useful for analyzing systems which operate under the presence of uncertainty. In this paper, we present a …

One of the primary problems with computing clusters is to ensure that they maintain a reliable working state most of the time to …

Large scientific computing clusters require a distributed dependability subsystem that can provide fault isolation and recovery and is …

In large scale scientific computing, proper planning and management of computational resources lead to higher system utilizations and …