Performing predictive modeling of virtual machine relationships

Patent metadata

Field	Value
Publication number	US-9477572-B2
Application number	US-97925510-A
Country	US
Kind code	B2
Filing date	Dec 27, 2010
Priority date	Jun 22, 2007
Publication date	Oct 25, 2016
Grant date	Oct 25, 2016

Abstract

An exemplary method may include collecting performance data of present operating conditions of network components operating in an enterprise network, extracting ontological component data of the network components from the collected performance data, comparing the collected performance data with predefined service tier threshold parameters, and determining if the ontological component data represents operational relationships between the network components, and establishing direct and indirect relationships between the network components based on the determined operational relationships and establishing a business application service group based on the ontological component data.

First claim

What is claimed is:

1. A method comprising:
collecting performance data of present operating conditions of a plurality of network components operating in an enterprise network and storing the performance data in memory;
extracting ontological data of the plurality of network components from the collected performance data, the ontological data identifying dependencies in the enterprise network;
determining that the ontological data represents operational relationships between the plurality of network components;
establishing, by a processor, direct and indirect relationships between the plurality of network components based on the determined operational relationships;
establishing a business application service group based on the established direct and indirect relationships to perform a business process, the business application service group including a subset of the plurality of network components that performs the business process, the subset of the plurality of network components comprising one or more virtual machines;
storing the established business application service group in memory; and
providing a user interface presenting a view of the business application service group, the view illustrating predictive states of the components of the business application service group in response to a component modification within the business application service group, the predictive states reflecting whether the components of the business application service group qualify to operate under a set of predefined operating conditions.

2. The method of claim 1 , further comprising:
comparing the performance data of the present operating conditions of the plurality of network components with service tier threshold parameters to determine an impact of the component modification within the business application service group, wherein the service tier threshold parameters include at least one of a CPU usage threshold, memory usage threshold, disk usage threshold and network usage threshold.

3. The method of claim 1 , further comprising: establishing a baseline based on performance of the business application service group.

4. The method of claim 3 , further comprising:
analyzing the established baseline to determine dependences between the network components; and
recording at least one of CPU usage, memory usage, network usage and disk usage, provided by the established baseline, as historic data and storing the historic data in memory.

5. The method of claim 4 , further comprising:
calculating at least one inference representing a state of the business application service group if no changes are made to present components of the business application service group.

6. The method of claim 5 , further comprising:
adding at least one new component to the business application service group via a predictive simulation; and
calculating a predictive state of each of the components of the business application service group that are affected by the addition of the at least one new component.

7. An apparatus comprising:
a memory;
a receiver, coupled to the memory, to collect performance data of present operating conditions of a plurality of network components operating in an enterprise network and storing the performance data in the memory; and
a processor, coupled to the receiver and the memory, to extract ontological data of the plurality of network components from the collected performance data, the ontological data identifying dependencies in the enterprise network, determine that the ontological data represents operational relationships between the plurality of network components, establish direct and indirect relationships between the plurality of network components based on the determined operational relationships, establish a business application service group based on the ontological component data to perform a business process, the business application service group including a subset of the plurality of network components that performs the business process, the subset of the plurality of network components comprising one or more virtual machines, store the established business application service group in the memory, and provide a user interface presenting a view of the business application service group, the view illustrating predictive states of the components of the business application service group in response to a component modification within the business application service group, the predictive states reflecting whether the components of the business application service group qualify to operate under a set of predefined operating conditions.

8. The apparatus of claim 7 , wherein the processor is further to compare the performance data of the present operating conditions of the plurality of network components with service tier threshold parameters to determine an impact of the component modification within the business application service group, the service tier threshold parameters include at least one of a CPU usage threshold, memory usage threshold, disk usage threshold and network usage threshold.

9. The apparatus of claim 7 , wherein the processor is further to establish baseline based on performance of the business application service group.

10. The apparatus of claim 9 , wherein the processor is further to analyze the established baseline to determine dependencies between the network components, and record at least one of CPU usage, memory usage, network usage and disk usage, provided by the established baseline, as historic data and storing the historic data in memory.

11. The apparatus of claim 10 , wherein calculating at least one inference representing a state of the business application service group if no changes are made to present components of the business application service group.

12. The apparatus of claim 11 , wherein the processor is further to add at least one new component to the business application service group via a predictive simulation, and calculate a predictive state of each of the components of the business application service group that are affected by the addition of the at least one new component.

13. A non-transitory computer readable storage medium configured to store instructions that when executed by a processor perform operations comprising:
collecting performance data of present operating conditions of a plurality of network components operating in an enterprise network and storing the performance data in memory;
extracting ontological data of the plurality of network components from the collected performance data, the ontological data identifying dependencies in the enterprise network;
determining that the ontological data represents operational relationships between the plurality of network components;
establishing direct and indirect relationships between the plurality of network components based on the determined operational relationships;
establishing a business application service group based on the established direct and indirect relationships to perform a business process, the business application service group including a subset of the plurality of network components that performs the business process, the subset of the plurality of network components comprising one or more virtual machines;
storing the established business application service group in memory; and
presenting, in a user interface, a view of the business application service group, the view illustrating predictive states of the components of the business application service group in response to a component modification within the business application service group, the predictive states reflecting whether the components of the bus

Assignees

• Suit John M
• Red Hat Inc

Inventors

• Suit John M

Classifications

• G06F9/5077 Primary

  Logical partitioning of resources; Management or configuration of virtualized resources (specific details on emulation or internal functioning of virtual machines G06F9/455) · CPC title

• G06F9/06

  using stored programs, i.e. using an internal store of processing equipment to receive or retain programs · CPC title

• G06F11/3409 Primary

  for performance assessment · CPC title

• G06F2209/501

  Performance criteria · CPC title

• G06F2009/4557

  Distribution of virtual machine instances; Migration and load balancing · CPC title