Method and apparatus for presenting a visualization of processor capacity and network availability based on a grid computing system simulation

• US 7,831,971 B2
• Filed: 10/24/2005
• Issued: 11/09/2010
• Est. Priority Date: 10/24/2005
• Status: Active Grant

• Current Assignee: Kyndryl Incorporated (Kyndryl Holdings, Inc.)
• Original Assignee: International Business Machines Corporation
• Inventors: Berstis, Viktors, Youngblood, Justin Lucus, Leonard, Brian E., Harper, Ellen Kay, Prestenback, Kyle Joseph
• Primary Examiner(s): Zhen; Li B
• Assistant Examiner(s): Chew; Brian
• Application Number:
  US11/257,442
• Publication Number:
  US 20070094002A1
• Time in Patent Office: 1,842 Days
• Field of Search: 718/104, 718/102
• US Class Current: 718/102
• CPC Class Codes: G06F 9/5072 Grid computing
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• CPC Class Codes: H04L 41/22 comprising specially adapted graphical user interfaces [GUI]
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

A method and apparatus for depicting grid availability at various times and for illustrating a simulation of the way in which a grid project will be executed based on grid availability. In addition, the affects of introducing new nodes into the grid may be determined and the affects on the simulated behavior of the grid with regard to the running of a grid project may be depicted using the graphical user interface. From this information, a user may determine the optimal time to initiate processing of a grid project by the computing grid.

Claims

1. A computer implemented method for presenting resource requirements in a grid computing system, the computer implemented method comprising:

identifying processor capacity data and network capacity data for a plurality of grid nodes in the grid computing system for different periods of time, wherein identifying the network capacity data comprises;

monitoring, by a processing unit, for the different periods of time, an amount of traffic on a number of links between nodes in the plurality of grid nodes in the grid computing system; and

determining, by a processing unit, an availability of network capacity during the different periods of time based on the amount of traffic monitored to form the network capacity data;

identifying, by a processing unit, processor resources and network resources needed by a grid project;

generating, by a processing unit, a simulation of various phases of grid project execution in accordance with the processor capacity data and the network capacity data during the different periods of time based on the processor resources and network resources needed by the grid project;

generating, by a processing unit, a statistical plot of processor capacity and network availability for a selected period of time within the different periods of time based on the simulation; and

presenting, by a processing unit, a visualization of the statistical plot in a graphical user interface.

2. The computer implemented method of claim 1 further comprising:

determining, by a processing unit, an availability of grid processor capacity during the different periods of time to form the processor capacity data.

3. The computer implemented method of claim 1, wherein the step of identifying processor capacity data and network capacity data for a plurality of grid nodes in the grid computing system for different periods of time comprises:

collecting, by a processing unit, data on actual resource usage in the plurality of grid nodes to form collected data; and

identifying, by a processing unit, available processor capacity and available network capacity in the plurality of nodes using the collected data.

4. The computer implemented method of claim 3, wherein collected data is retrieved from a grid node processor/network capacity storage system for the selected period of time within the different time periods.

5. The computer implemented method of claim 2, wherein the statistical plot represents at least one of an actual processor capacity and network availability, an average of processor capacity and network availability, one standard deviation from the actual processor capacity and network availability, and one standard deviation from the average of processor capacity and network availability, and wherein the statistical plot includes a plurality of data points for the processor and network resource usage for the selected period of time within the different periods of time.

6. The computer implemented method of claim 2 further comprising:

responsive to receiving a command to alter a start time of the grid project execution, dynamically modifying, by a processing unit, the simulation in accordance with an altered start time.

7. The computer implemented method of claim 1 further comprising:

responsive to an introduction of additional grid nodes into the grid computing system, dynamically modifying, by a processing unit, the simulation in accordance with the additional grid nodes.

8. The computer implemented method of claim 2, further comprising:

requesting, by a processing unit, an input of grid project parameters for execution of the grid project through a graphical user interface.

9. The computer implemented method of claim 8, wherein the grid project parameters include a start time, a start date, a designated granularity for a plot, a type of graphical presentation, a grid project identifier, a time window for the simulation, and a statistical basis for the simulation.

10. The computer implemented method of claim 1, wherein a grid project modeling language description is utilized to determine the processor resources and network resources needed by the grid project.

11. A computer program product for presenting resource requirements in a grid computing system, the computer program product comprising:

a computer readable storage medium;

first instructions to identify processor capacity data and network capacity data for a plurality of grid nodes in the grid computing system for different periods of time, wherein the first instructions to identify the network capacity data comprise;

second instructions to monitor, for the different periods of time, an amount of traffic on a number of links between nodes in the plurality of grid nodes in the grid computing system; and

third instructions to determine an availability of network capacity during the different periods of time based on the amount of traffic monitored to form the network capacity data;

fourth instructions to identify processor resources and network resources needed by a grid project

fifth instructions to generate a simulation of various phases of grid project execution in accordance with the processor capacity data and the network capacity data during the different periods of time based on the processor resources and network resources needed by the grid project;

sixth instructions to generate a statistical plot of processor capacity and network availability for a selected period of time within the different periods of time based on the simulation;

seventh instructions to present a visualization of the statistical plot in a graphical user interface; and

wherein the first instructions, the second instructions, the third instructions, the fourth instructions, the fifth instructions, the sixth instructions, and the seventh instructions are stored on the computer readable storage medium.

12. The computer program product of claim 11, further comprising:

instructions to determine an availability of grid processor capacity at various times during a specified time interval to form the processor capacity data.

13. The computer program product of claim 12, wherein the statistical plot represents at least one of an actual processor capacity and network availability, an average of processor capacity and network availability, one standard deviation from the actual processor capacity and network availability, and one standard deviation from the average of processor capacity and network availability, and wherein the one standard deviation is calculated based on the processor and network resource usage for the selected period of time within the different periods of time.

14. The computer program product of claim 11, wherein the first instructions to identify processor capacity data and network capacity data for the plurality of grid nodes in the grid computing system for different periods of time comprise:

eighth instructions to identify available processor capacity and available network capacity in the plurality of nodes using data on actual resource usage in the plurality of grid nodes.

15. The computer program product of claim 11 further comprising:

instructions to dynamically modify the simulation in accordance with an altered start time in response to receiving a command to alter a start time of the grid project execution.

16. The computer program product of claim 11 further comprising:

instructions to dynamically modify the simulation in accordance with the additional grid nodes in response to an introduction of additional grid nodes into the grid computing system.

17. The computer program product of claim 11, further comprising:

instructions to request an input of grid project parameters for execution of the grid project through a graphical user interface.

18. An apparatus for simulating execution of a grid project, the apparatus comprising:

a bus;

a storage device connected to the bus;

a processor unit connected to the bus;

first instructions to identify processor capacity data and network capacity data for a plurality of grid nodes in the grid computing system for different periods of time, wherein the first instructions to identify the processor capacity data and the network capacity data comprise;

second instructions to monitor, for the different periods of time, an amount of traffic on a number of links between nodes in the plurality of grid nodes in the grid computing system;

third instructions to determine an availability of network capacity during the different periods of time based on the amount of traffic monitored to form the network capacity data; and

fourth instructions to determine an availability of grid processor capacity during the different periods of time to form the processor capacity data;

fifth instructions to identify processor resources and network resources needed by a grid project;

sixth instructions to generate a simulation of various phases of grid project execution in accordance with the processor capacity data and the network capacity data during the different periods of time based on the processor resources and network resources needed by the grid project;

seventh instructions to generate a statistical plot of processor capacity and network availability for a selected period of time within the different periods of time based on the simulation;

eighth instructions to present a visualization of the statistical plot in a graphical user interface; and

wherein the first instructions, the second instructions, the third instructions, the fourth instructions, the fifth instructions, the sixth instructions, the seventh instructions, and the eighth instructions are stored on the device for execution by the processor.