Parallel dataflow programming frameworks such as Map-Reduce are increasingly being used for large scale data analysis on computing clouds. It is therefore becoming important to a...
We introduce a new method to estimate the Java object activity in a distributed context of irregular applications. This method uses an observation mechanism which is itself a part...
Current processor allocation techniques for highly parallel systems are based on centralized front-end based algorithms. As a result, the applied strategies are restricted to stat...
Abstract. Most studies on adaptive partitioning policies for scheduling parallel jobs on distributed memory parallel computers ignore the constraints imposed by the memory requirem...
The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...