Heterogeneous job dashboard

• US 8,028,285 B2
• Filed: 07/20/2005
• Issued: 09/27/2011
• Est. Priority Date: 07/22/2004
• Status: Active Grant

• Current Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Original Assignee: Computer Associates Think Inc. (Broadcom, Inc.)
• Inventors: Chen, Edward F., Padmanabhan, Arun, Ly, An V.
• Primary Examiner(s): Puente; Emerson C
• Assistant Examiner(s): Truong; Camquy
• Application Number:
  US11/186,307
• Publication Number:
  US 20060017975A1
• Time in Patent Office: 2,260 Days
• Field of Search: 718/101, 718/102, 715/730
• US Class Current: 718/102
• CPC Class Codes: G06F 3/1204 resulting in reduced user or operator actions, e.g. presetting, automatic actions, using hardware token storing data
• CPC Class Codes: G06F 3/1207 resulting in the user being informed about print result after a job submission
• CPC Class Codes: G06F 3/1214 at the submitting node
• CPC Class Codes: G06F 3/1259 Print job monitoring, e.g. job status
• CPC Class Codes: G06F 3/126 Job scheduling, e.g. queuing, determine appropriate device
• CPC Class Codes: G06F 3/1288 in client-server-printer device configuration

Abstract

This disclosure provides a system and method for summarizing jobs for a user group. In one embodiment, a job manager is operable to identify a state of a first job, the first job associated with a first job scheduler. A state of a second job is identified. The second job is associated with a second job scheduler. The first job scheduler and the second job scheduler are heterogeneous. A summary of information associated with at least the first job scheduler and the second job scheduler is determined using, at least in part, the first job state and the second job state. The summary is presented to a user though a dashboard.

Claims

1. A computer-readable storage medium storing computer-executable instructions for a job manager, wherein the computer-executable instructions configure one or more processors to:

receive, from a client device, a request for information relating to one or more jobs operating in a plurality of operating environments, wherein at least two of the plurality of operating environments utilize heterogeneous job scheduling nomenclatures;

identify, based on the request, a group from among a plurality of groups;

identify at least one dashboard object associated with the group;

for the identified dashboard object, identify one or more job objects or alert objects associated with the identified dashboard object, wherein the identified job objects or alert objects include a job identifier and a pointer to at least one of the plurality of operating environments, and wherein the identified job or alert objects are used to obtain normalized job or alert data, wherein the normalized job or alert data is obtained by mapping a first set of indicators from a job scheduling nomenclature of a first of the at least two operating environments and a second set of indicators, at least partially different from the first set of indicators, from a job scheduling nomenclature of a second of the at least two operating environments, to a common set of indicators;

determine the requested information based on at least a portion of the normalized job or alert data; and

present the requested information to the client device.

2. The computer-readable storage medium of claim 1, wherein obtaining normalized job or alert data includes:

identifying a state of a first alert associated with a first job from the first of the at least two operating environments; and

identifying a state of a second alert associated with a second job from the second of the at least two operating environments,

wherein the requested information is based at least in part on the first alert state and the second alert state.

3. The computer-readable storage medium of claim 1, wherein the job or alert data comprises job state information regarding a plurality of job states for jobs from the plurality of operating environments and alert state information from a plurality of alerts from the plurality of operating environments, and wherein the requested information comprises a percentage of each job state in accordance with a total number of jobs and a percentage of each alert state in accordance with a total number of alerts.

4. The computer-readable storage medium of claim 1, wherein the computer executable instructions further configure the one or more processors to:

identify a filter comprising criteria for selecting a severity level;

determine a match with the filter based, at least in part, on the criteria of the filter and the requested information; and

in response to determining the match, associate the severity level value with the requested information in accordance with the filter.

5. The computer-readable storage medium of claim 4, the severity level comprising one of running, low, medium, high, or critical.

6. A method for filtering jobs, the method executing on one or more processors configured to perform a plurality of operations, the plurality of operations comprising:

receiving, from a client device, a request for information relating to one or more jobs operating in a plurality of operating environments, wherein at least two of the plurality of operating environments utilize heterogeneous job scheduling nomenclatures;

identifying, based on the request, a group from among a plurality of groups;

identifying at least one dashboard object associated with the group;

for the identified dashboard object, identifying one or more job objects or alert objects associated with the identified dashboard object, wherein the identified job objects or alert objects include a job identifier and a pointer to at least one of the plurality of operating environments, and wherein the identified job or alert objects are used to obtain normalized job or alert data, wherein the normalized job or alert data is obtained by mapping a first set of indicators from a job scheduling nomenclature of a first of the at least two operating environments and a second set of indicators, at least partially different from the first set of indicators, from a job scheduling nomenclature of a second of the at least two operating environments, to a common set of indicators;

determining the requested information based on at least a portion of the normalized job or alert data; and

presenting the requested information to the client device.

7. The method of claim 6, wherein obtaining normalized job or alert data includes:

identifying a state of a first alert associated with a first job from the first of the at least two operating environments; and

identifying a state of a second alert associated with a second job from the second of the at least two operating environments,

wherein the requested information is based at least in part on the first alert state and the second alert state.

8. The method of claim 6, wherein the job or alert data comprises job state information regarding a plurality of job states for jobs from the plurality of operating environments and alert state information from a plurality of alerts from the plurality of operating environments, and wherein the requested information comprises a percentage of each job state in accordance with a total number of jobs and a percentage of each alert state in accordance with a total number of alerts.

9. The method of claim 6, wherein the plurality of operations further comprise:

identifying a filter comprising criteria for selecting a severity level;

determining a match with the filter based, at least in part, on the criteria of the filter and the requested information; and

in response to determining the match, associating the severity level value with the requested information in accordance with the filter.

10. The method of claim 9, the severity level comprising one of running, low, medium, high, or critical.

11. A system for filtering jobs, comprising:

memory storing a dashboard operable to present information from a plurality of operating environments;

one or more processors configured to;

receive, from a client device, a request for information relating to one or more jobs operating in a plurality of operating environments, wherein at least two of the plurality of operating environments utilize heterogeneous job scheduling nomenclatures,

identify, based on the request, a group from among a plurality of groups,

identify at least one dashboard object associated with the group,

for the identified dashboard object, identify one or more job objects or alert objects associated with the identified dashboard object, wherein the identified job objects or alert objects include a job identifier and a pointer to at least one of the plurality of operating environments, and wherein the identified job or alert objects are used to obtain normalized job or alert data, wherein the normalized job or alert data is obtained by mapping a first set of indicators from a job scheduling nomenclature of a first of the at least two operating environments and a second set of indicators, at least partially different from the first set of indicators, from a job scheduling nomenclature of a second of the at least two operating environments, to a common set of indicators,

determine the requested information based on at least a portion of the normalized job or alert data, and

present the requested information to a user through the dashboard at the client device.

12. The system of claim 11, wherein obtaining the normalized job or alert data includes:

identification of a state of a first alert associated with a first job from the first of the at least two operating environments; and

identification of a state of a second alert associated with a second job from the second of the at least two operating environments,

wherein the requested information is based at least in part on the first alert state and the second alert state.

13. The system of claim 11, wherein the job or alert data comprises job state information regarding a plurality of job states for jobs from the plurality of operating environments and alert state information from a plurality of alerts from the plurality of operating environments, and wherein the requested information comprises a percentage of each job state in accordance with a total number of jobs and a percentage of each alert state in accordance with a total number of alerts.

14. The system of claim 11, the one or more processors further configured to:

identify a filter comprising criteria for selecting a severity level;

determine a match with the filter based, at least in part, on the criteria of the filter and the requested information; and

in response to determining the match, associate the severity level value with the requested information in accordance with the filter.

15. The system of claim 14, the severity level comprising one of running, low, medium, high, or critical.

16. A system for filtering jobs, comprising:

one or more processors configured to;

receive information relating to a plurality of jobs from a plurality of job schedulers, wherein at least two of the plurality of job schedulers operate on heterogeneous environments utilizing heterogeneous job nomenclature;

generate one or more job or alert objects for each of the plurality of jobs for which information was received, wherein a job or alert object includes;

a job identifier that identifies a job associated with the job or alert object,

a pointer to an operating environment associated with the job identified by the job identifier,

one or more values represented in the nomenclature specific to the operating environment of the pointer, and

a mapping from the nomenclature specific to the operating environment of the pointer to a normalized nomenclature,

generate, using information from one or more job or alert objects, one or more summary objects having information from at least two jobs from the plurality of jobs;

receive, from a client device, a request for information from two or more jobs from the plurality of jobs, wherein at least two of the two or more jobs of the request operate on heterogeneous operating environments utilizing heterogeneous job nomenclature;

identify, based on the request, a user group from among a plurality of user groups of an enterprise;

identify one or more of the generated summary objects associated with the user group;

identify normalized values for the at least two jobs from the request using information from at least one of the identified summary objects, the normalized values being normalized using mappings of one or more job or alert objects used to generate the at least one identified summary object;

determine statistical information based on at least a portion of the normalized values; and

present the statistical information to the client device.