Abstract. We generalize the k-means algorithm presented by the authors [14] and show that the resulting algorithm can solve a larger class of clustering problems that satisfy certa...
Clustered microarchitectures are an effective organization to deal with the problem of wire delays and complexity by partitioning some of the processor resources. The organization ...
Abstract. A framework for the autonomous management of clustered server systems called LAMA1 (Large-scale system’s Autonomous Management Agent) is proposed in this paper. LAMA is...
Chul Lee, Seung Ho Lim, Sang Seok Lim, Kyu Ho Park
A cost-effective approach to building up scalable Videoon-Demand (VoD) servers is to couple a number of VoD servers together in a cluster. In this article, we study a crucial vide...
We present a powerful meta-clustering technique called Iterative Double Clustering (IDC). The IDC method is a natural extension of the recent Double Clustering (DC) method of Slon...