We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
— Due to relative motion between the transmitter and the receiver, the carrier of the received signal in digital burstmode transmission can be affected by Doppler distortion. Thi...
Hardware failures in autonomous and distributed software systems create the need for self-healing activities. This work addresses the problem of redeploying software components af...
Deploying and controlling experiments running on a distributed set of resources is a challenging task. Software developers often spend a significant amount of time dealing with the...
Grid data management is a challenging task because of the heterogeneous, dynamic and largescale nature of Grid environments. This paper proposes an autonomic Grid data management ...