Defense of Javier Alonso's thesis
The work presented in this thesis aims to offer a proactive and predictive software rejuvenation solution for Internet Services against software aging caused by resource exhaustion. It presents: 1. a threshold based proactive rejuvenation to avoid the consequences of software aging, 2. a
Machine Learning baed to to overcome the weaknesses of our the approach, and 3. a mathematical programming extension of the previous approach to efficiently manage virtualized data centers.
Place: Department of Computer Architecture, room C6-E03.