In this paper we present a game theoretic framework for obtaining a user-optimal load balancing scheme in heterogeneous distributed systems. We formulate the static load balancing...
We have proposed an automated debugging technique that explains a failure by computing its causal path leading from the root cause to the failure. Given a failing execution, the te...
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Two different approaches to determining the human genome are currently being pursued: one is the “clone-by-clone” approach, employed by the publicly-funded Human Genome Proje...
This paper presents LRU-SP, a size-adjusted and popularity-aware extension to Least Recently Used (LRU) for caching web objects. The standard LRU, focusing on recently used and eq...