In order to cope with the computational burden resulting from a highly complex symbiotic networks aiming by this project and to maintain scalability, the optimization architecture is decomposed spatially and based on the different time scales involved. More importantly, this scheme makes it possible to fulfil the privacy concerns as there would be no need for the communication of sensitive data among different entities. The scope of the proposed architecture is on Energy-Aware Scheduling (EAS) and Supply Chain Management (SCM).
D5.1. Detailed design of the multi-layer optimization architecture
2016
Abstract
In order to cope with the computational burden resulting from a highly complex symbiotic networks aiming by this project and to maintain scalability, the optimization architecture is decomposed spatially and based on the different time scales involved. More importantly, this scheme makes it possible to fulfil the privacy concerns as there would be no need for the communication of sensitive data among different entities. The scope of the proposed architecture is on Energy-Aware Scheduling (EAS) and Supply Chain Management (SCM).File in questo prodotto:
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