Abstract: A virtual function performance analysis system and an analysis method thereof are disclosed. The virtual function performance analysis method includes: monitoring performance of at least one virtual function of a virtual network function application on a virtual platform having at least one physical resource and at least one virtual resource; monitoring and recording an actual value of each of performance indicators of each of physical resources, each of virtual resources and each of virtual functions; comparing the actual value of each of performance indicators with the associated expected value and/or threshold value to obtain a comparison result; and analyzing system performance according to the comparison result.

Abstract: The disclosure provides a controller, a method for adjusting packet flow rule, and a network communication system. The method includes: receiving, by a controller, a health status of a first port and a health status of a second port of each of a plurality of hosts in the network communication system; adjusting a packet flow rule of each of the hosts based on the health status of the first port and the health status of the second port of each of the hosts; and transmitting the adjusted packet flow rule of each of the hosts to each of the corresponding hosts to control each of the hosts to transceive a packet according to the corresponding packet flow rule.

Abstract: The disclosure provides a controller, a method for adjusting packet flow rule, and a network communication system. The method includes: receiving, by a controller, a health status of a first port and a health status of a second port of each of a plurality of hosts in the network communication system; adjusting a packet flow rule of each of the hosts based on the health status of the first port and the health status of the second port of each of the hosts; and transmitting the adjusted packet flow rule of each of the hosts to each of the corresponding hosts to control each of the hosts to transceive a packet according to the corresponding packet flow rule.

Abstract: A computer implemented decision support tool serves as a solver to generate a best can do (BCD) match between existing assets and demands across multiple manufacturing facilities within boundaries established by manufacturing specifications and process flows and business policies to determine which demands can be met in what time frame by microelectronics (wafer to card) or related (for example disk drives) manufacturing and establishes a set of actions or guidelines for manufacturing to incorporate into their manufacturing execution system to insure the delivery commitments are met in a timely fashion. The BCD tool has six major components, a material resource planning explode or "backwards" component, an optional STARTS evaluator component, an optional due date for receipts evaluator, an optional capacity available versus needed component, an implode "forward" or feasible plan component, and a post processing algorithm.

Abstract: A computer implemented decision support tool serves as an Advanced Material Requirements Planning (AMRP) solver to generate a match between existing assets and demands across multiple manufacturing facilities within the boundaries established by the manufacturing specifications and process flows and business policies to determine what (and when) is needed to start internally or purchase externally to meet all customer demands of current interest. The matching must take into account manufacturing or production specifications and business guidelines. To accomplish the task of deciding what to do when to meet customer demand, the AMRP solver explodes demands into a build plan for purchased and manufacturing orders for end items as well as components and raw materials necessary to produce those end items. The AMRP solver combines traditional MRP decision technology with linear programming (LP) decision technology to provide both speed and intelligence in the matching process.