Abstract: In various example embodiments, a system, a method, and a machine readable medium to manage multicast traffic are disclosed. The system includes a controller server for receiving first multicast group member information and for providing centralized control of a network. The first multicast group member information is received from a first end-host computer and received at the controller server responsive to a first packet forwarding system identifying the first end-host computer is joining a first multicast group on a first virtual network. The controller server generates a first multicast tree and communicates a first network configuration message to at least one packet forwarding system of the first plurality of packet forwarding systems. The first network configuration message includes a packet flow table entry enabling configuration of a flow table to enable communication of multicast traffic for the first multicast group over a portion of the first multicast tree.

Abstract: In various example embodiments, a system, a method, and a machine readable medium to manage multicast traffic are disclosed. The system includes a controller server for receiving first multicast group member information and for providing centralized control of a network. The first multicast group member information is received from a first end-host computer and received at the controller server responsive to a first packet forwarding system identifying the first end-host computer is joining a first multicast group on a first virtual network. The controller server generates a first multicast tree and communicates a first network configuration message to at least one packet forwarding system of the first plurality of packet forwarding systems. The first network configuration message includes a packet flow table entry enabling configuration of a flow table to enable communication of multicast traffic for the first multicast group over a portion of the first multicast tree.

Abstract: In various example embodiments, a system and method for optimizing management of a multicast tree are disclosed. The system receives first multicast group member information, from over a network and via a first packet forwarding system, at a controller server that provides for control of a network comprised of a first virtual local area network including a first packet forwarding system, the first multicast group member information being received by the first packet forwarding system and describing a first end-host computer as joining a first multicast group on the first virtual local area network. The system generates a multicast tree, at the controller server, and communicates a network configuration message to at least one packet forwarding system of a first plurality of packet forwarding systems to enable communication of the multicast traffic for the first multicast group over a portion of the multicast tree.

Abstract: In various example embodiments, a system and method for optimizing management of a multicast tree are disclosed. The system receives first multicast group member information, from over a network and via a first packet forwarding system, at a controller server that provides for control of a network comprised of a first virtual local area network including a first packet forwarding system, the first multicast group member information being received by the first packet forwarding system and describing a first end-host computer as joining a first multicast group on the first virtual local area network. The system generates a multicast tree, at the controller server, and communicates a network configuration message to at least one packet forwarding system of a first plurality of packet forwarding systems to enable communication of the multicast traffic for the first multicast group over a portion of the multicast tree.

Abstract: A method for automated control of a steam turbine during cyclic operation includes the steps of comparing current turbine loading with an anticipated load profile to generate a load error signal. Anticipated electrical load profiles correspond to the time of day, day of the week, month of the year, and historical data; operator input can vary such historical profiles as appropriate for unusual situations. The predicted load profile is categorized with respect to selected composite electrical load cycle profiles; weighted operating constraints are generated by means of a fuzzy inference calculation using electrical cycle profiles selected to correspond to the anticipated electrical load profile.