When designing SAMGrid, a project for distributing high-energy physics computations on a grid, we discovered that it was challenging to decide where to place user's jobs. Job...
A. Baranovski, Gabriele Garzoglio, Igor Terekhov, ...
Abstract. Grid computing is a computing framework to meet the growing computational demands. This paper introduces a novel approach based on Particle Swarm Optimization (PSO) for s...
In the context of SLA based job scheduling for high performance grid computing, this paper investigates the behaviour of various scheduling heuristics to schedule SLA-bounded jobs...
We describe a scheduling technique in which estimated job runtimes and estimated resource availability are used to efficiently distribute workloads across a homogeneous grid of res...
Sam Verboven, Peter Hellinckx, Jan Broeckhove, Fra...
This paper addresses the dynamic scheduling of moldable jobs with QoS demands (soft-deadlines) in multiclusters. A moldable job can be run on a variable number of resources. Three ...
Ligang He, Stephen A. Jarvis, Daniel P. Spooner, X...