Automatically identifying subnetworks in a network

Electrical computers and digital processing systems: multicomput – Computer network managing

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C709S220000, C709S224000, C709S217000, C370S254000, C370S255000, C370S256000

Reexamination Certificate

active

06618755

ABSTRACT:

TECHNICAL FIELD
The present invention is directed to the field of computer networking, and more particularly, to the field of network configuration.
BACKGROUND
Computer networks connect computer systems and other network devices, collectively called “nodes” or “hosts,” in a manner that enables them to exchange data. While many networks are composed of wired connections, the term “network” also describes wireless networks of various sorts. Nodes in the same network are typically each identified using a network address that is unique within the network.
A network may host one or more logical networks, which are also referred to as “subnetworks” (or “subnets”) of the network. Subnets are defined by the subset of all possible network addresses that they contain. In a network having subnets, the network addresses of the nodes are said to contain two components, or “parts”: a “network part” identifying the particular subnetwork of which the node is a member, whose contents are invariant across the network addresses of the nodes of a particular subnetwork, and a “host part” identifying the particular node within the subnetwork.
The amount of space in the network addresses of nodes in a particular subnet needed for the host part varies with the number of nodes in the subnetwork, as more space is required to uniquely identify larger numbers of nodes. Accordingly, many addressing schemes allow the size of the host part of the network address, and, correspondingly, the size of the network part to vary from subnet to subnet.
In many situations, it is useful to identify any subnets operating on a given network. This information is often needed when adding a new node, such as a network security device or a router, to the network, or when configuring an existing node within the network.
In general, identifying a subnet involves both (1) identifying the portion of network addresses of the subnet that is devoted to the network part, and (2) determining the content of the network part. To identify the subnets of a particular network, it is common for a network specialist to physically visit and interrogate one or more nodes of the network. This approach is both expensive and time-consuming, as it requires the physical presence of a scarce network specialist.
In view of the foregoing, a facility for automatically identifying subnets in a network would have significant utility.


REFERENCES:
patent: 6003074 (1999-12-01), Vasconcellos
patent: 6377987 (2002-04-01), Kracht
patent: 6385649 (2002-05-01), Draves et al.
patent: WO98/18306 (1998-05-01), None
patent: WO99/49474 (1999-09-01), None
Hwa-Chun-Lin et al., “An Algorithm for Automatic Topology Discovery of IP Networks” 1998 IEEE International Conference on Communications, Vonference Record, New Century Communications Atlanta, GA, Jun. 7-11, 1998, NY, NY, Jun. 7, 1998.*
Hwa-Chun Lin et al., “An Algorithm for Automatic Topology Discovery of IP Networks,” 1998 IEEE International Conference on Communications, Conference Record, New Century Communications, Atlanta, Georgia, Jun. 7-11, 1998, International Conference on Communications, New York, New York, Jun. 7, 1998.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Automatically identifying subnetworks in a network does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Automatically identifying subnetworks in a network, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automatically identifying subnetworks in a network will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3058873

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.