Timothy Wood

TL;DR: In this paper, a method for detecting an error in a prediction of resource usage of an application running in a virtual environment is proposed, which is based on a plurality of benchmark sets, with at least one initial prediction model that maps the first traces of first resource utilization metrics to the second traces of second resources utilization metrics.

TL;DR: SDNFV as discussed by the authors proposes a hierarchical control framework where decisions are made across the SDN controller, a host-level manager, and individual VMs to best exploit state available at each level.

TL;DR: In this paper, the authors present a system for predicting resource usage of an application running in a virtual environment, which consists of a first hardware platform implementing a native hardware system in which an application natively resides and executes, the native HPC system operating to execute a predetermined set of benchmarks that includes at least one of: a computation-intensive workload, a network intensive workload, and a disk intensive workload.

TL;DR: This paper presents a novel approach to improve firewall performance using data mining techniques, which significantly reduces the processing time taken by the firewall to filter each packet and thus improves its performance.

TL;DR: SDNFV proposes a hierarchical control framework where decisions are made across the SDN controller, a host-level manager, and individual VMs to best exploit state available at each level, increasing the network's flexibility compared to existing SDNs where controllers often make decisions based on the first packet header of a flow.