Modern real-time systems must be designed to be highly adaptable, reacting to aperiodic events in a predictable manner and exhibiting graceful degradation in overload scenarios wh...
George Lima, Eduardo Camponogara, Ana Carolina Sok...
This paper presents improved approximation algorithms for the problem of multiprocessor scheduling under uncertainty (SUU), in which the execution of each job may fail probabilist...
Christopher Y. Crutchfield, Zoran Dzunic, Jeremy T...
The Cell BE processor provides both scalable computation power and flexibility, and it is already being adopted for many computational intensive applications like aerospace, defens...
This paper introduces a self-configuring architecture for scaling the database tier of dynamic content web servers. We use a unified approach to load and fault management based ...
Gokul Soundararajan, Kaloian Manassiev, Jin Chen, ...
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...