System and method for managing a computer network

Information

  • Patent Application
  • 20060212568
  • Publication Number
    20060212568
  • Date Filed
    March 15, 2005
    19 years ago
  • Date Published
    September 21, 2006
    18 years ago
Abstract
A system and method for managing a distribution network is provided. A management system obtains a network topology of physical locations and usage data for each identified location. The management system displays a set of possible distribution configurations for each location. The management system generates configuration recommendations based upon the specified distribution configuration.
Description
FIELD OF THE INVENTION

The present invention relates to computer software and communication networks, and in particular, to a system and method for providing software distribution capacity planning and hardware sizing in a distribution network.


BACKGROUND OF THE INVENTION

Computer networks can correspond to a number of computing devices connected via various communication links. In a typical larger scale network environment, a network may include a plurality of server and client computing devices at several geographic locations. As computer networks grow in size and complexity, there is a need for administrative tools that facilitate software distribution, asset management and/or software patch deployment. One such administrative tool is Microsoft Corporation's Systems Management Server (“SMS”).


In administrative tools, such as SMS, computers (e.g., servers) are located throughout a computer network and are configured to have a specific software distribution/management role. Often times, the specific configuration of a server will depend on the network topology and/or the anticipated software distribution load of the network. For example, in SMS, a server can have one of many possible management/distribution roles, such as a central server, distribution point, secondary site, management point, reporting point, and the like. Configuring a server device incorrectly, such as by selecting an incorrect role can result in an inefficient utilization of the server computer within the SMS system or the creation of distribution bottlenecks depending on the error. Similarly, selecting inappropriate hardware resources for a configured server (such as the number of processors, speed of processors, memory, etc.) can also result in an inefficient utilization of computer resources or the creation of distribution bottlenecks. Accordingly, capacity planning and hardware sizing functionality can become necessary for proper implementation of administrative tools.


Traditional capacity planning/hardware sizing functionality relies on static models for a network topology and server computer configuration. For example, in tools where network topology models are pre-determined, the tool does not provide adequate planning flexibility for customized network topologies. Thus, network administrators may not be able to properly model the actual configuration of the network. Additionally, the fixed static model approach does not provide adequate flexibility in facilitating various “what if” scenarios to determine the impact of different configuration settings for the server computing components in the SMS system. Accordingly, system administrators cannot typical test the impact of different server role configurations and/or hardware settings to a network model.


Thus, there is a need for a system and method for managing a distribution network that provides dynamic capacity planning and hardware sizing capabilities.


SUMMARY OF THE INVENTION

A system and method for managing a distribution network is provided. A management system obtains a network topology of physical locations and usage data for each identified location. The management system displays a set of possible distribution configurations for each location. The management system generates configuration recommendations based upon the specified distribution configuration.


In accordance with an aspect of the present invention, a method for managing a distribution network is provided. A management system obtains network environment data corresponding to a distribution network having at least one location. The management system obtains usage data corresponding to the network environment data. The management system then generates distribution configurations for locations in the distribution network corresponding to the network environment and usage data. The management system displays distribution configurations for the locations.


In accordance with another aspect of the present invention, a method for managing a distribution network. A management system obtains network environment data corresponding to a distribution network having at least one location. The management system obtains usage data corresponding to the network environment data. The management system generates at least one distribution configuration for the at least one location in the distribution network corresponding to the network environment and usage data. The management system then displays the at least one distribution configuration.


In accordance with a further aspect of the present invention, a method for distribution network planning is provided. A management system obtains a site topology for a distribution network having a set of identifiable locations. The management system displays a set of distribution scenarios for each identified location in the distribution network. The management system then obtains a selection of a distribution scenario for an identified location in the distribution network. The management system generates a configuration recommendation for the selected distribution scenario for the identified location. BRIEF DESCRIPTION OF THE DRAWINGS


The foregoing aspects and many of the attendant advantages of this invention will become more readily appreciated as the same become better understood by reference to the following detailed description, when taken in conjunction with the accompanying drawings, wherein:



FIG. 1 is a block diagram of multi-tiered software distribution network topology including a central locations, a number of intermediary locations and a number of edge locations in accordance with an aspect of the present invention;



FIG. 2 is a flow diagram of a capacity planning and hardware sizing routine in accordance with the present invention;



FIG. 3 is a flow diagram of a network topology generation sub-routine in accordance with the present invention; and



FIG. 4 is a block diagram illustrative of a screen display for selecting a distribution configuration for a location in a distribution network in accordance with an aspect of the present invention.







DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT

Generally described, the present invention relates to a system and method for managing a distribution network including a number of distribution locations. More specifically, the present invention relates to a system and method for providing capacity planning and hardware sizing functionality for managing a distribution network. Although the present invention will be described with regard to an illustrative distribution network topology, illustrative distribution network configuration information and illustrative screen displays, the disclosed embodiments should not be construed as limiting.


With reference to FIG. 1, a block diagram of multi-tiered software distribution network topology 100 will be described. The software distribution network topology 100 includes a plurality of manageable units that can be modeled and configured. In an illustrative embodiment of the present invention, a manageable unit can correspond to a physical location with a software distribution network. Alternatively, a manageable unit can correspond to a set of client computers that can be modeled and configured. One skilled in the relevant art will appreciate the all the manageable units in the software distribution network topology 100 are in communication with any number of client computing devices and provide software distribution/management functionality to the client computing devices.


As illustrated in FIG. 1, the software distribution network topology 100 corresponds to a hierarchy of logical tiers. The top tier in the software distribution network topology 100 includes a central location 102 that serves as the central site in the distribution network. A second tier includes a number of intermediary locations 104 that are in direct communication with the central location 102. By way of example, the second tier can correspond to a grouping of computers by country. A third tier includes a number of intermediary locations and an edge location 106 that are in communication with one of the second tier locations 104. With reference to the previous example, the third tier can correspond to regional locations for each country. For purposes of the present invention, an edge location corresponds to the furthest location from the central location on a particular branch of the distribution network. Finally, a fourth tier of the software distribution network topology 100 includes edge locations 108 for the remaining branches of the distribution network.


With reference now to FIG. 2, a capacity planning and hardware sizing routine 200 for a distribution network will be described. In accordance with an illustrative embodiment of the present invention, the capacity planning and hardware sizing routine 200 may be implemented by a distribution network administrator to select proper configuration and hardware resources for any of the locations on the distribution network. The computing device executing the capacity planning and hardware sizing routine 200 will be generally referred to as the “management system.”


With reference to FIG. 2, at block 202, the management system obtains distribution network topology data. FIG. 3 is a flow diagram of a network topology generation sub-routine 300 implemented by the management system in accordance with an aspect of the present invention. In an illustrative embodiment of the present invention, the collection of network topology information is an interactive process with a system administrator. At block 302, the management system obtains the number of manageable units (e.g., physical locations) that are included in the distribution network. At block 304, the management system obtains the speed of the communication networks between each of the identified locations in the distribution network. Additionally, the management system obtains the availability of the network connections for distribution/management data traffic.


At block 306, the management system obtains the number of client computing devices that will be in communication with each identified location. At block 308, the management system obtains a distribution network tier designation for each identified location. Finally, at block 310, the management system obtains location administrative information for each identified location. For example, the management system can obtain information whether a location system administrator will be present at the location. At block 312, the sub-routine 300 returns.


In an illustrative embodiment of the present invention, sub-routine 300 may be embodied as a recursive process for facilitating the manual entry of the network topology. For example, the management system may generate a screen display that prompts a system administrator to complete the necessary information for each location. As additional children locations are identified, the management system would collect information about each child location via additional screen displays. Additionally, in an illustrative embodiment of the present invention, the management system may pre-populate one or more fields of screen display based upon a designation of a distribution tier. The resulting network topology configuration can be exported as a spreadsheet that can manually reviewed and adjusted.


Returning to FIG. 2, at block 204, the management system obtains usage data for the specified distribution network topology. In an illustrative embodiment of the present invention, usage data can correspond to the size and frequency of hardware inventory and the size and frequency of software distribution packets that correspond to the distribution network. The management system can maintain a knowledge base of typical usage data for a distribution network. For example, the management system may estimate network traffic depending of an estimate size of software distribution packages and the frequency of their delivery. The management system may also estimate usage based on the potential for roaming client computing system between network locations.


At block 206, the management system obtains location configuration options for each identified location in the distribution network. In an illustrative embodiment of the present invention, each location with the distribution network may be configured in one of a variety of distribution roles with the distribution network. The selection of the most proper role corresponds to an analysis of the physical topology of the distribution network and the data usage within the topology. Accordingly, in some scenarios, more than one distribution role may be applicable for a particular location. For example, a parent site may be configured as a distribution point location with all its children location as secondary site locations. However, if the number of children locations is too large and/or depending on the number of client computers connected to each location, one or more of the children locations may be configured a distribution point location to mitigate network bottlenecks.


In an illustrative embodiment of the present invention, the management system generates a screen display that includes a set of distribution configurations for a specified location. FIG. 4 is a block diagram illustrative of a screen display 400 for specifying a distribution configuration for a location in accordance with an aspect of the present invention. The screen display 400 includes a number of fields for identifying a particular location identification 402, a parent location identification 404, a location name 406 and the number of client computing devices connected to the location 408. The screen display 410 also includes a configuration selection display 410. The configuration display 410 includes a column 412 that identifies one or more potential distribution configurations for the identified location. The configuration display 410 can also include one or more columns that provide additional details regarding a particular selected distribution configuration. As illustrated in FIG. 4, the configuration display 410 includes columns 414, 416 that estimate the usage of available link bandwidth by any child locations to the selected location and by the parent to the selected location. The configuration display 410 can also include a comment column 418 that may be used to identify specific information about the location (e.g., local administrator not present) or about the selected distribution configuration (e.g., the network link with the parent is saturated). The configuration display 410 also includes selection column 420 that allows a system administrator to select a particular distribution configuration for modeling. In an illustrative embodiment of the present invention, the screen display 400 may prevent unavailable or poorly performing distribution configurations from being selected and/or displayed. The screen display 400 can also include one or more controls 422 for proceeding with the selection of a distribution configuration.


Returning to FIG. 2, at block 208, the management system obtains the selection of the configuration and performs a location analysis. In an illustrative embodiment of the present invention, the management system may maintain a knowledge base of hardware sizing recommendations based on specified distribution configuration. Alternatively, the management system may communicate with an external knowledge base, such as a Web service, that can provide hardware sizing recommendations. Upon obtaining the necessary information, the management system returns recommendations for implementing the selected distribution configuration for the specified location. The recommendation can include a specification of hardware resources include number of processors, an amount of memory, a number of disk arrays, a number of network interface cards and additionally hardware configuration information. Additionally, the management system may also return estimated performance data.


At decision block 210, a test is conducted to determine whether additional analysis is required. In an illustrative embodiment of the present invention, the selection of distribution configuration may be repeated to provide for various what if scenarios. For example, routine 200 may be utilized to model distribution network efficiency due to adjustment of location roles/resources. Additionally, routine 200 may be utilized to model potential effects of the addition of locations. If additional analysis is required, the routine 200 returns to block 206 for the selection of another distribution configuration (screen display 400, FIG. 4). Alternatively, routine 200 terminates at block 212.


While illustrative embodiments of the invention have been illustrated and described, it will be appreciated that various changes can be made therein without departing from the spirit and scope of the invention.

Claims
  • 1. A method for managing a distribution network, the method comprising: obtaining network environment data corresponding to a distribution network having at least one location; obtaining usage data corresponding to the network environment data; generating at least one distribution configuration for the at least one location in the distribution network corresponding to the network environment and usage data; and displaying the at least one distribution configuration.
  • 2. The method as recited in claim 1, wherein the network environment data is selected from a group consisting of an identification of a number of physical locations in the distribution network, a tier classification for each identified physical location, and communication bandwidth information for each identified physical location.
  • 3. The method as recited in claim 2, wherein the usage data is selected from a group consisting of hardware inventory data for each identified physical location and software distribution load data for each identified physical location.
  • 4. The method as recited in claim 1, wherein displaying the at least one distribution configuration includes displaying estimated bandwidth utilization for the at least one location in the distribution network.
  • 5. The method as recited in claim 1 further comprising: obtaining a selection of a distribution configuration for a location in the distribution network; and generating computing resource recommendations for the selected distribution configuration.
  • 6. The method as recited in claim 5, further comprising: obtaining a second selection of a distribution configuration for the location in the distribution network; and generating a second computing resource recommendation for the second selected distribution configuration
  • 7. A method for distribution network planning, the method comprising: obtaining a site topology for a distribution network having a set of identifiable locations; displaying a set of distribution scenarios for each identified location in the distribution network; obtaining a selection of a distribution scenario for an identified location in the distribution network; and generating a configuration recommendation for the selected distribution scenario for the identified location.
  • 8. The method as recited in claim 7, wherein the site topology corresponds to an identification of physical locations in the distribution network and communication bandwidth between physical locations.
  • 9. The method as recited in claim 8, wherein the site topology corresponds to usage data for each identified physical location.
  • 10. The method as recited in claim 9, wherein the usage data includes software distribution load data for each identified physical location.
  • 11. The method as recited in claim 7, wherein the site topology a specification of a distribution tier for each identified physical location.
  • 12. The method as recited in claim 7 further comprising: obtaining a second selection of a distribution scenario for an identified location in the distribution network; and generating a second configuration recommendation for the second selected distribution scenario for the identified location
  • 13. A method for managing a distribution network, the method comprising: obtaining a site topology model having a plurality of manageable units; displaying a set of distribution network configurations for the plurality of manageable units; obtaining a selection of a distribution network configuration for at least one of the plurality of manageable units; and generating a configuration recommendation for the selected distribution network configuration.
  • 14. The method as recited in claim 13, wherein each manageable unit corresponds to a set of client computers.
  • 15. The method as recited in claim 14, wherein each manageable unit corresponds to a physical location in the distribution network.
  • 16. The method as recited in claim 13, wherein obtaining a site topology model having a plurality of manageable units includes obtaining an input of network environment and usage data for each manageable unit in the distribution network.
  • 17. The method as recited in claim 16, wherein each manageable unit corresponds to a tier in the distribution network and wherein the site topology model includes network environment and usage data for each tier in the distribution network, the method further comprising automatically populating network environment and usage data for each manageable unit in the distribution network according to a tier designation for the manageable unit.
  • 18. The method as recited in claim 16, wherein the network environment data is selected from a group consisting of an identification of a number of physical locations in the distribution network, a tier classification for each identified physical location, and communication bandwidth information for each identified physical location.
  • 19. The method as recited in claim 16, wherein the usage data is selected from a group consisting of hardware inventory data for each identified physical location and software distribution load data for each identified physical location.
  • 20. The method as recited in claim 13 further comprising: obtaining a second selection of a distribution network configuration for the at least one of the plurality of manageable units; and generating a second configuration recommendation for the second selected distribution network configuration.