We introduce and evaluate a middleware clustering technology capable of allocating resources to web applications through dynamic application instance placement. We define applicat...
A. Karve, Tracy Kimbrel, Giovanni Pacifici, Mike S...
Abstract. In this paper we introduce a general framework for hierarchical clustering that deals with both static and dynamic data sets. From this framework, different hierarchical...
Background: RNA structure prediction problem is a computationally complex task, especially with pseudo-knots. The problem is well-studied in existing literature and predominantly ...
S. P. T. Krishnan, Sim Sze Liang, Bharadwaj Veerav...
Long term load prediction can assist task scheduling and load balancing greatly in distributed environment such as computational grid. Due to the dynamic property of grid environm...
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...