We propose a novel SVC multicast streaming scheme named adaptive SDN-based SVC multicast (ASCast). Each video layer forms a multicast tree, and we formulate a linear programming problem for the tree construction. To address the problem, we design static and dynamic heuristic algorithms to build multicast trees and maximize overall video quality with limited TCAM space. Moreover, to reduce TCAM space consumption, we carefully consider multicast IP address assignment for video layers and forwarding rule installation.

We propose a novel framework named Service Cache (S-Cache), which automatically caches popular services in edge clouds. In addition, we design a new cache replacement policy to maximize the cache hit rates.

We modify appropriate components in SR-I/OV driver and

OpenvSwitch to dramatically reduce packet processing latency in SFC composed by several VNFs. Moreover, our design is

compatible with SDN environment and benefited by central control.

we find out the unpopular nodes and re-route the flows to them to make sure no switch is idle. Second, we leverage the new routing path to redistribute the workloads to achieve load balancing among the monitors. Furthermore, we not only focus on the problem that the workloads of measurements tasks among the monitors are balanced but also the number of the flows passing through on the each switch.