Abstract. Rampart is a toolkit of protocols to facilitate the development of high-integrity services, i.e., distributed services that retain their availability and correctness desp...
This paper explores the problem of dynamically scheduling large scale applications over wide area networks and then proposes an adaptive scheduling algorithm to provide quality of...
Feedback-directed optimization (FDO) is effective in improving application runtime performance, but has not been widely adopted due to the tedious dual-compilation model, the difï...
Dehao Chen, Neil Vachharajani, Robert Hundt, Shih-...
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
Abstract—Modern service-oriented systems have increasingly complex loosely-coupled architectures that often exhibit poor performance and resource efï¬ciency and have high operat...
Samuel Kounev, Fabian Brosig, Nikolaus Huber, Ralf...