In this paper we present a novel performance analysis technique for large-scale systems modelled in the stochastic process algebra PEPA. In contrast to the well-known approach of ...
This paper analyzes the performability of client-server applications that use a separate fault management architecture for monitoring and controlling of the status of the applicat...
—In this paper, we describe and compare three Collaborative Filtering (CF) algorithms aiming at the low-rank approximation of the user-item ratings matrix. The algorithm implemen...
Manolis G. Vozalis, Angelos I. Markos, Konstantino...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
We present a new approach to managing failures and evolution in large, complex distributed systems using runtime paths. We use the paths that requests follow as e through the syst...
Mike Y. Chen, Anthony Accardi, Emre Kiciman, David...