We present preliminary results of a project to create a tuning system that adaptively optimizes programs to the underlying execution platform. We will show initial results from tw...
As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...
This paper reports the findings of an in-depth case study of implementing Enterprise Resource Planning Systems (ERP) in a long-established multinational company within the telecom...
Optimally partitioning application and filesystem functionality within a cluster of clients and servers is a difficult problem due to dynamic variations in application behavior, r...
Khalil Amiri, David Petrou, Gregory R. Ganger, Gar...
Large software systems have a rich development history. Mining certain aspects of this rich history can reveal interesting insights into the system and its structure. Previous app...