David Hock

TL;DR: POCO is presented, a framework for Pareto-based Optimal COntroller placement that provides operators with Pare to optimal placements with respect to different performance metrics and can be extended to solve similar virtual functions placement problems which appear in the context of Network Functions Virtualization (NFV).

TL;DR: It is argued that it is not sufficient to look only at node-to-controller latencies but a controller placement should also fulfill certain resilience constraints especially for the control plane, and is provided an overview over related work and include different resilience issues in the controller placement process.

TL;DR: This paper introduces a framework for resilient Pareto-based Optimal COntroller-placement (POCO) that provides the operator of a network with all Pare to-optimal placements and reveals that for most of the topologies more than 20% of all nodes need to be controllers to assure a continuous connection of all node to one of the controllers in any arbitrary double link or node failure scenario.

TL;DR: The IQX hypothesis is confirmed exactly for disturbances perceived on applications level, packet loss and packet reordering, which clearly correlate to the main sensitivities of the used softphone to packet-level disturbances such as loss, jitter and reordering.

TL;DR: This work provides a statistical characterization of the swarm sizes, the distribution of peers over autonomous systems (AS's), the fraction of peers in the largest AS, and the size of the shared files.