Infrastructure management is of key importance in a wide array of computer and network environments. The use of virtualization in cloud datacenters has driven the communications and computing convergence to a common operational entity. Failure to effectively manage the involved infrastructure results as impediments in provisioning a successful service. Information models facilitate the infrastructure management and current solutions can be effectively applied in most datacenter scenarios, apart from cases where the networking architecture relies heavily on systems virtualization. In this paper we propose an information model for managing virtual network architectures, where hypervisors and computing server resources are deployed as the basis of the networking layer. We provide a successful proof of concept by managing a virtual machine-based network infrastructure acting as an IP routing platform using statistical methods. Our proposal enables a dynamic reconfiguration of allocated infrastructure resources adapting, in real-time, to variations in the imposed workload.
Publié le : 2017-07-06
Classification:  Computer Architectures and Networking; other areas of Computing and Informatics,  Network management, hypervisor, modeling, statistical process control, cloud, datacenter,  90B18, 68M11, 62P30
@article{cai2017_3_541,
     author = {Dimitris Kontoudis; Department of Applied Informatics, University of Macedonia, Thessaloniki and Panayotis Fouliras; Department of Applied Informatics, University of Macedonia, Thessaloniki},
     title = {Host-Based Virtual Networks Management in Cloud Datacenters},
     journal = {Computing and Informatics},
     volume = {35},
     number = {4},
     year = {2017},
     language = {en},
     url = {http://dml.mathdoc.fr/item/cai2017_3_541}
}
Dimitris Kontoudis; Department of Applied Informatics, University of Macedonia, Thessaloniki; Panayotis Fouliras; Department of Applied Informatics, University of Macedonia, Thessaloniki. Host-Based Virtual Networks Management in Cloud Datacenters. Computing and Informatics, Tome 35 (2017) no. 4, . http://gdmltest.u-ga.fr/item/cai2017_3_541/