Data aggregation for scheduling of resource-intensive computations under uncertainty
Yu. E. Malashenko, I. A. Nazarova · Journal of Computer and Systems Sciences International · 2014
A control process for resource-intensive computations in heterogeneous specialized environment is considered. For each task, a concept of computational job required to execute it is introduced. Two interconnected problems—of capability and performance—are studied. A parametric approach to scheduling is proposed that allows for balanced resource allocation while meeting user requirements under uncertainty.