Abstract: A conversion device (10) analyzes an input packet and acquires header information included in the packet. Furthermore, the conversion device (10) classifies packets into one of a plurality of groups on the basis of the acquired header information and set grouping conditions. Subsequently, the conversion device (10) generates packets for analysis on the basis of the processing corresponding to the classified groups.

Abstract: A conversion device analyzes information of an input packet using hardware and determines whether to perform predetermined previous stage processing using the hardware. Furthermore, when it is determined to perform the previous stage processing, the conversion device uses the hardware to provide metadata including identification information indicating a group of packets to the packets on the basis of the fixed-length header information of the packets. In addition, the conversion device uses software to generate analysis packets corresponding to the group of packets using the provided metadata.

Abstract: An extraction unit extracts predetermined information from an outer header and an inner header of a tunneled packet passing through a network device in which congestion has occurred. An evaluation unit evaluates an order in which fine grain flows in a tunnel subdivided with reference to the extracted predetermined information are subject to TE, based on attribute information of the fine grain flows.

Abstract: A design apparatus optimizes, with a first granularity (for example, a real number solution), a traffic volume allocated to each of links between adjacent nodes included in a network. In addition, the design apparatus calculates an approximation solution obtained by approximating, with a second granularity (for example, an integer solution), the traffic volume having been optimized with the first granularity. Furthermore, the design apparatus maps logical paths to each of routes constituted by the links in accordance with the approximated traffic volume.