Distributed-system observation tools require an efficient data structure to store and query the partial-order of execution. Such data structures typically use vector timestamps to...
This paper proposes a new method for comparing clusterings both partitionally and geometrically. Our approach is motivated by the following observation: the vast majority of previ...
Michael H. Coen, M. Hidayath Ansari, Nathanael Fil...
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
Today organizations and business enterprises of all sizes need to deal with unprecedented amounts of digital information, creating challenging demands for mass storage and on-dema...
Sangeetha Seshadri, Ling Liu, Brian F. Cooper, Law...
This paper presents a more efficient Java Remote Method Invocation (RMI) implementation for high-speed clusters. The use of Java for parallel programming on clusters is limited b...
Guillermo L. Taboada, Carlos Teijeiro, Juan Touri&...