K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
This paper presents a method to optimize the timeout value of computing jobs. It relies on a model of the job execution time that considers the job management system latency throu...
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...
1 One common assumption of the existing models of load balancing is that the weights of resources and I/O buffer size are statically configured. Though the static configuration ...
Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson
We present Tigris, a high-performance computation and I/O substrate for clusters of workstations that is implemented entirely in Java. Tigris automatically balances resource load a...