This paper analyzes the effect of overbooking for scheduling systems in a commercial environment. In this scenario each job is associated with a release time and a finishing deadl...
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
In this paper we describe our experience with Teapot [7], a domain-specific language for writing cache coherence protocols. Cache coherence is of concern when parallel and distrib...
Satish Chandra, James R. Larus, Michael Dahlin, Br...
Today’s cross-organizations are increasingly coordinating their capabilities in the quest of dynamically adaptable and thus highly competitive realistic services. Unfortunately,...
Privacy is today an important concern for both data providers and data users. Data generalization can provide significant protection of an individual’s privacy, which means the...