We present a strategy for model-checking the correctness of service composition. We do so in the context of SRML, a formal modelling framework for service-oriented computing being ...
We present PowerDial, a system for dynamically adapting application behavior to execute successfully in the face of load and power fluctuations. PowerDial transforms static conï¬...
Henry Hoffmann, Stelios Sidiroglou, Michael Carbin...
The queue data structure is fundamental and ubiquitous. Lockfree versions of the queue are well known. However, an important open question is whether practical wait-free queues ex...
We introduce a novel machine learning framework based on recursive autoencoders for sentence-level prediction of sentiment label distributions. Our method learns vector space repr...
Richard Socher, Jeffrey Pennington, Eric H. Huang,...
Since software systems are becoming increasingly more concurrent and distributed, modeling and analysis of interactions among their components is a crucial problem. In several app...