We introduce a network-based problem detection framework for distributed systems, which includes a data-mining method for discovering dynamic dependencies among distributed servic...
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
—This paper presents a novel strategy for interference mitigation in an uplink of high reuse cellular networks through distributive processing. It is proposed that the neighborin...
This paper describes an approach to real-time decisionmaking for quality of service based scheduling of distributed asynchronous data replication. The proposed approach addresses ...
In this work we present in-network techniques to improve the efficiency of spatial aggregate queries. Such queries are very common in a sensornet setting, demanding more targeted t...
Alexandra Meliou, Carlos Guestrin, Joseph M. Helle...