… Performance of cloud centers with high degree of virtualization … Stateful serverless application placement in MEC with … computing first network: A deep reinforcementlearningapproach. …
… us to manage large sets of data in our virtual organization. 4. Execution Management:The … We have talked about WS-Resources which are the combination of a stateful resource and …
… Software-Defined Networking (SDN), an open network architecture, decouples the control functions from traditional network devices and uses OpenFlow as the communication protocol …
… Furthermore, by aggregating contexts and by employing machinelearning mechanisms, the Smart Home can be aware of situations which are at higher level of abstractions than …
… on machinelearning and deep learningapproaches for … for traditional, SDN and virtual networks[J]. Engineering … SLAMHHA: a supervised learningapproach to mitigate host location …
… In order to deal with AJAX, we utilize the stateful programmatic … We employ two virtual machines from openstack.nctu.edu.tw … of building a PyPy virtual environment on FreeBSD 8.3, so …
… of a stateful SDN solution for wireless sensor networks. In: Proc… and virtualized wireless access in future wireless networks: … wireless sensor networks using reinforcementlearning: A …