SCALED MANAGEMENT SYSTEM

• US 20120016866A1
• Filed: 09/23/2011
• Published: 01/19/2012
• Est. Priority Date: 03/06/2008
• Status: Active Grant

• Current Assignee: ServiceNow Incorporated
• Original Assignee: Microsoft Corporation
• Inventors: Dunagan, John D., Greenberg, Albert, Kiciman, Emre M., Warncke, Heather E., Wolman, Alastair
• Granted Patent: US 8,666,967 B2
• Time in Patent Office: Days
• US Class Current: 707/718
• CPC Class Codes: H04L 67/63 Routing a service request depending on the request content or context

Abstract

An exemplary system for managing an applications and data space includes a strategy layer configured to receive a query statement and to formulate one or more custom queries based on the query statement and a query scheduler layer configured to schedule issuance of the one or more custom queries to one or more query response modules associated with the applications and data space. Other methods, devices and systems are also disclosed.

Claims

1. A computing device, comprising:

a processor;

memory; and

a control logic stored in the memory that is executed by the processor to formulate one or more custom queries based on a received query statement after determining that the query statement does not correlate to a standard query scheduled for execution on a plurality of servers, to schedule the one or more custom queries, and to distribute the custom queries to one or more query response modules in an applications and data space that comprises the plurality of servers.

2. The computing device of claim 1, wherein the query response modules comprise event tracing and event detection and response modules.

3. The computing device of claim 1, wherein the applications and data space comprises a server farm.

4. The computing device of claim 1, wherein the applications and data space comprises one or more software as a service (SaaS) applications.

5. The computing device of claim 1, further comprising a query module to receive query statements written in a language parsable by a language engine.

6. The computing device of claim 1, wherein the one or more custom queries comprises at least one of a query pertaining to CPU utilization, a query pertaining to memory utilization, and a query pertaining to I/O utilization.

7. The computing device of claim 1, further comprising control logic to analyze information responsive to the one or more formulated queries and to provide information germane to scheduling of workload in the applications and data space.

8. The computing device of claim 1, further comprising control logic to analyze information responsive to the one or more formulated queries and to provide information germane to latency in the applications and data space.

9. A system for managing an applications and data space, the system comprising:

one or more processors; and

memory to store instructions executable by the one or more processors, the memory to store layers comprising;

a strategy layer to decide that a received query statement pertains to a non-standard query after determining that the query statement does not correlate to a standard query scheduled for execution, and to formulate one or more custom queries based on the query statement for the non-standard query; and

a query scheduler layer to schedule issuance of the one or more custom queries to one or more query response modules associated with the applications and data space.

10. The system of claim 9, further comprising a data router to route information responsive to the one or more custom queries to the strategy layer.

11. The system of claim 9, wherein the one or more query response modules comprises an operating system level event tracing module.

12. The system of claim 9, wherein the one or more query response modules comprises an event detection and response module.

13. The system of claim 9, wherein the one or more custom queries comprise at least one of a query pertaining to CPU utilization, a query pertaining to memory utilization, and a query pertaining to I/O utilization.

14. A method, implemented at least in part by a computing device, the method comprising:

receiving a natural language query statement about increased workload;

receiving information about workload in an applications and data space that comprises a plurality of servers;

formulating one or more custom queries that differs in scope from a standard scheduled query based in part on the natural language query statement and the information about workload after determining that the natural language query statement does not correlate to a standard scheduled query;

receiving information from the applications and data space, the information responsive to at least the one or more custom queries;

determining whether the information responsive to at least the one or more custom queries comprises information sufficient to respond to the query statement about increased workload; and

formulating one or more additional custom queries based on the determination.

15. The method of claim 14, wherein the information responsive to at least the one or more custom queries comprises information issued by one or more event tracing modules and/or one or more event detection and response modules.

16. The method of claim 14, wherein the one or more custom queries comprise at least one of a query pertaining to CPU utilization, a query pertaining to memory utilization, and a query pertaining to I/O utilization.

17. The method of claim 14, wherein the information sufficient to respond to the query statement about increased workload comprises a time for processing the increased workload in the applications and data space.

18. A computing device, comprising:

a processor;

memory; and

a control logic stored in the memory that is executed by the processor to perform acts comprising;

receiving a query statement about latency;

receiving information about latency in an applications and data space that comprises a plurality of servers;

formulating one or more custom queries that differs in scope from a standard scheduled query based in part on the query statement and the information about latency after determining that the query statement does not correlate to a standard scheduled query;

receiving information responsive to at least the one or more custom queries;

determining whether the information responsive to at least the one or more custom queries comprises information sufficient to respond to the query statement about increased latency; and

formulating one or more additional custom queries based on the determination.

19. The computing device of claim 18, wherein the information responsive to a query comprises information issued by one or more event tracing modules and/or one or more event detection and response modules.

20. The computing device of claim 18, wherein information sufficient to respond to the query statement about increased latency comprises a time associated with an expected decrease in latency in the applications and data space.