EP1094635A2

Apparatus and method for selecting network entities

Abstract

Network management can be made more efficient by using a graphical user interface that is clear and concise in what network information is identified and subsequently displayed. One key to improving graphical user interfaces is the categorizing of network entities into a series of attribute layers that define different features of the network entities. For instance, a layer of attributes may include geographical regions, services, customers, or types of network entities. By selecting a base view from the group of geographical regions and then network features for filtering operations from one or more of the other attribute layers, the network entities defined by the selected network features can be identified and isolated with all other irrelevant network entities being filtered out. The advantages to this graphical user interface is especially evident when considering the case that a specific customer, service, or network entity requires special attention. Other features of this interface include bookmarking, archiving, and monitoring specific views of a network based off a base view along with one or more filtered network features.

EP1094635A2, drawing sheet 1
Sheet 1 of 20

Term

Term ended

Projected expiry passed 18 October 2020, 5.9 years ago.

  1. Priority
  2. Filed
  3. Published
  4. Projected expiry
  5. Today

37 claims: 4 independent, 33 dependent

  1. 1
    Within a Graphical User Interface (GUI), a method for selecting a focused subset of a plurality of network entities comprising:providing a categorization of each of the plurality of network entities according to a plurality of network features arranged within attribute layers, each attribute layer being defined by a respective containment hierarchy of network features;receiving as focused network features a selection of at least one respective selected network feature for each of at least one of the attribute layers;and identifying as said focused subset the network entities categorized with all of the focused network features.
  2. 3
    A method according to one of claims 1 and 2, wherein at least one of the focused network features is selected as a base view network feature;and    wherein the method further comprises identifying as a base view subset the network entities categorized with all of the base view network features.
  3. 7
    A method according to any one of claims 4 to 6, wherein if any of the base view network feature(s) are changed, the GUI is operable to require reselection of the filter network feature(s).
  4. 8
    A method according to any one of claims 4 to 6, wherein if any of the base view network feature(s) are changed, the GUI is operable to not require reselection of the filter network feature(s).
  5. 9
    A method according to any one of claims 1 to 8 further comprising receiving as highlight network features a selection of at least one respective selected network feature for each of at least one of the attribute layers;and identifying as a highlight subset the network entities within the focused subset categorized with all of the highlight network features.
  6. 11
    A method according to any one of claims 1 to 9 further comprising displaying representations of the network entities within the focused subset.
  7. 12
    A method according to one of claims 10 and 11, wherein the displaying representations of the network entities within the focused subset is done by producing a geographical view of the representations of the network entities within the focused subset.
  8. 13
    A method according to one of claims 10 and 11, wherein the displaying representations of the network entities within the focused subset is done by producing a logical view of the representations of the network entities within the focused subset.
  9. 14
    A method according to one of claims 10 and 11, wherein the displaying the network entities of the focused subset is done by producing a text list of the network entities within the focused subset.
  10. 15
    A method according to any one of claims 1 to 14 further comprising providing a selection mechanism for selecting each focused network feature to define one of a type or a geographical region within one of the attribute layers.
  11. 16
    A method according to any one of claims 1 to 15, wherein one of the attribute layers is defined by a containment hierarchy of geographical region network features.
  12. 17
    A method according to any one of claims 1 to 16, wherein one of the attribute layers is defined by a containment hierarchy of network features concerning types of services and specific services.
  13. 18
    A method according to any one of claims 1 to 17, wherein one of the attribute layers is defined by a containment hierarchy of network features concerning types of customers and specific customers.
  14. 19
    A method according to any one of claims 1 to 18, wherein one of the attribute layers is defined by a containment hierarchy of network features concerning types of network entities.
  15. 20
    A method according to any one of claims 1 to 19 further comprising saving the focused network features as a bookmark for reselection at a later time.
  16. 21
    A method according to any one of claims 1 to 20 further comprising saving the focused network features automatically as a history entry which can be reselected at a later time.
  17. 22
    A method according to any one of claims 1 to 21 further comprising monitoring network information pertaining to the network entities within the focused subset and reporting this information.
  18. 25
    A computer system adapted to implement the method according to any one of claims 1 to 24.
  19. 26
    A Graphical User Interface (GUI) adapted to implement the method according to any one of claims 1 to 24.
  20. 27
    A computer readable medium having software stored thereon for instructing a computer to implement a method according to any one of claims 1 to 24.
  21. 28
    An apparatus comprising:a memory for storing a plurality of containment hierarchies of network features;a Graphical User Interface (GUI) for selecting network features within each of the containment hierarchies as focused network features;and a processor for identifying network entities categorized by all of the focused network features.
  22. 30
    Graphical User Interface (GUI) that is arranged to have access to categorization information with regard to a plurality of network entities within a network, the categorization information for each of the plurality of network entities being a plurality of network features arranged within attribute layers, each attribute layer being defined by a respective containment hierarchy of network features;wherein the GUI operates to receive as focused network features a selection of at least one respective selected network feature for each of at least one of the attribute layers;and    wherein the GUI is arranged to output the focused network features to an apparatus that operates to identify as a focused subset the network entities categorized with all of the focused network features.
  23. 31
    An apparatus being controlled by control logic, the control logic operating to:provide a categorization of each of a plurality of network entities according to a plurality of network features arranged within attribute layers, each attribute layer being defined by a respective containment hierarchy of network features;receive as focused network features a selection of at least one respective selected network feature for each of at least one of the attribute layers;and identify as said focused subset the network entities categorized with all of the focused network features.
  24. 33
    An apparatus according to one of claims 31 and 32, wherein at least one of the focused network features is selected as a base view network feature;and    wherein the control logic further operates to identify as a base view subset the network entities categorized with all of the base view network features.
  25. 35
    An apparatus according to any one of claims 31 to 34, wherein the control logic further operates to receive as highlight network features a selection of at least one respective selected network feature for each of at least one of the attribute layers;and identify as a highlight subset the network entities within the focused subset categorized with all of the highlight network features.
  26. 37
    An apparatus according to any one of claims 31 to 35, wherein the control logic further operates to display representations of the network entities of the focused subset.
Independent claims26