Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
The rise of ad-hoc data-intensive computing has led to the development of data-parallel programming systems such as Map/Reduce and Hadoop, which achieve scalability by tightly cou...
For many companies, clouds are becoming an interesting alternative to a dedicated IT infrastructure. However, cloud computing also carries certain risks for both the customer and ...
This paper proposes a new storage model, device transparency, in which users view and manage their entire data collection from any of their devices, even from disconnected storage...
Jacob Strauss, Chris Lesniewski-Laas, Justin Mazzo...
—Cloud computing provides us with general purpose storage and server hosting platforms at a reasonable price. We explore the possibility of tapping these resources for the purpos...
Dependencies among system components are crucial to locating root errors in a distributed system. In this paper, we propose an approach to mine intercomponent dependencies from un...
One of the main challenges to harness the potential of Cloud computing is the design of programming models that simplify the development of large-scale parallel applications and t...