The needs for run-time data storage in modern wired and wireless network applications are increasing. Additionally, the nature of these applications is very dynamic, resulting in ...
Stylianos Mamagkakis, Christos Baloukas, David Ati...
MapReduce and stream processing are two emerging, but different, paradigms for analyzing, processing and making sense of large volumes of modern day data. While MapReduce offers t...
Parallel changes are becoming increasingly prevalent in the development of large scale software system. To further study the relationship between parallel changes and faults, we h...
Agrawal and Kiernan’s watermarking technique for database relations [1] and Li et al’s fingerprinting extension [6] both depend critically on primary key attributes. Hence, t...
Time redundancy (rollback-recovery) and hardware redundancy are commonly used in real-time systems to achieve fault tolerance. From an energy consumption point of view, time redun...