Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
Abstract. Beowulf-class clusters use a diverse collection of queue management software, and interconnect technology, often causing inter-cluster operability issues. We present a Un...
Francis Tang, Ho Liang Yoong, Chua Ching Lian, Aru...
This paper presents a comparative study of Kerrighed, openMosix and OpenSSI, three Single System Image (SSI) operating systems for clusters. This experimental study gives an overv...
As the size and popularity of computer clusters go on growing, fault tolerance is becoming a crucial factor to ensure high performance and reliability for applications. To provide...
Antonio S. Martins, Ronaldo Augusto Lara Gon&ccedi...
Current processor allocation techniques for multicomputers are based on centralized front-end based algorithms. As a result, the applied strategies are usually restricted to stati...
Rose Rose, Hans-Ulrich Heiss, Philippe Olivier Ale...