The probability of failures in software distributed shared memory (SDSM) increases as the system size grows. This paper introduces a new, efficient message logging technique, call...
Abstract. Products within a product family are composed of different component configurations where components have different variable features and a large amount of dependency re...
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
In spatial clustering, the scale of spatial data is usually very large. Spatial clustering algorithms need high performance, good scalability, and are able to deal with noise and ...
This paper studies the performance of hybrid-ARQ (automatic repeat request) in Rayleigh blockfading channels. The long-term average transmitted rate is analyzed in a fast-fading s...