Systems and methods for providing automated diagnostic services for a cluster computer system

• US 6,895,534 B2
• Filed: 10/26/2001
• Issued: 05/17/2005
• Est. Priority Date: 04/23/2001
• Status: Expired due to Term

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Wong, Joseph D., Put, Peter A.
• Primary Examiner(s): Baderman, Scott
• Assistant Examiner(s): Chu, Gabriel L.
• Application Number:
  US10/008,855
• Publication Number:
  US 20020184555A1
• Time in Patent Office: 1,299 Days
• Field of Search: 714/4, 714/47, 714/48, 714/55, 713/100
• US Class Current: 714/55
• CPC Class Codes: G06F 11/0709 in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
• CPC Class Codes: G06F 11/0751 Error or fault detection not based on redundancy power supply failures G06F1/30; network fault management H04L41/06
• CPC Class Codes: G06F 11/3006 where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems multiprogramming arrangements G06F9/46; allocation of resources G06F9/50
• CPC Class Codes: G06F 11/3055 Monitoring arrangements for monitoring the status of the computing system or of the computing system component, e.g. monitoring if the computing system is on, off, available, not available error or fault processing without redundancy G06F11/0703; error detection or correction by redundancy in data representation G06F11/08; error detection or correction by redundancy in operation G06F11/14; error detection or correction by redundancy in hardware G06F11/16
• CPC Class Codes: H04L 41/0654 using network fault recovery ring fault isolation or reconfiguration in loop networks without recovery actions by a network management system H04L12/437
• CPC Class Codes: H04L 41/0853 by actively collecting configuration information or by backing up configuration information
• CPC Class Codes: H04L 41/22 comprising specially adapted graphical user interfaces [GUI]

Abstract

Systems and methods for providing automated diagnostic services for a cluster computer system are provided. One embodiment is a method for providing automated diagnostic services for a cluster computer system comprising a plurality of nodes. Each of the plurality of nodes may provide an application to a plurality of clients. Briefly described, one such method comprises the steps of: receiving a current value of a network parameter related to cluster middleware associated with the cluster computer system; analyzing the current value of the network parameter relative to a predetermined reference value for the network parameter; and providing information based on the analysis of the current value relative to the predetermined reference value.

Claims

1. A method for providing automated diagnostic services for a cluster computer system comprising a plurality of nodes, each of the plurality of nodes providing an application to a plurality of clients, the method comprising the steps of:

receiving a current value of a network parameter related to cluster middleware associated with the cluster computer system;

analyzing the current value of the network parameter relative to a predetermined reference value for the network parameter; and

providing information based on the analysis of the current value relative to the predetermined reference value,

wherein the network parameter relates to a network heartbeat interval for a node in the cluster computer system and the predetermined reference value is an optimal network heartbeat interval for the node based on the current heartbeat link for the node.

2. The method of claim 1, wherein the step of analyzing the current value of the network heartbeat interval relative to the optimal network heartbeat interval comprises determining whether the difference between the current value and the optimal network heartbeat interval is within a predetermined variance.

3. The method of claim 2, wherein the step of providing information based on the analysis of the current value relative to the optimal network heartbeat interval comprises providing a warning of a potential failover recovery problem if the difference between the current value and the optimal network heartbeat interval is not within the predetermined variance.

4. The method of claim 2, further comprising the step of determining whether an alternative heartbeat link for the node is available if the difference between the current value and the optimal network heartbeat interval is not within the predetermined variance.

5. The method of claim 4, further comprising the step of providing a warning of a potential failover recovery problem if an alternative heartbeat link for the node is not available.

6. The method of claim 4, further comprising the step of, if an alternative heartbeat link for the node is available, determining the optimal network heartbeat interval for the node based on the alternative heartbeat link for the node and analyzing the current value of the network heartbeat interval relative to the optimal network heartbeat interval associated with the alternative heartbeat link for the node.

7. The method of claim 2, further comprising the step of repeating the above steps for another node in the cluster computer system if the difference between the current value and the optimal network heartbeat interval is within the predetermined variance.

8. A method for providing automated diagnostic services for a cluster computer system comprising a plurality of nodes, each of the plurality of nodes providing an application to a plurality of clients, the method comprising the steps of:

receiving a current value of a network parameter related to cluster middleware associated with the cluster computer system;

analyzing the current value of the network parameter relative to a predetermined reference value for the network parameter; and

providing information based on the analysis of the current value relative to the predetermined reference value,

wherein the network parameter relates to a node timeout value for a node in the cluster computer system and the predetermined reference value comprises a predefined threshold range for the node timeout value.

9. The method of claim 8, wherein the predefined threshold range for the node timeout value is based on a function of a network heartbeat interval for the node.

10. The method of claim 9, wherein the step of analyzing the current value of the node timeout value relative to the predefined threshold range comprises determining whether the current value of the node timeout value is within a predetermined variance.

11. The method of claim 10, wherein the step of providing information based on the analysis of the current value relative to the predefined threshold range for the node timeout value comprises providing a warning that the node timeout value is not within the predefined threshold range.

12. The method of claim 11, wherein the step of providing information based on the analysis of the current value relative to the predefined threshold range for the node timeout value further comprises generating an instruction configured to set the node timeout value within the predefined threshold range.

13. The method of claim 11, wherein the predetermined reference value further comprises a predefined recommended range and wherein the step of providing information based on the analysis of the current value relative to the predefined threshold range and the predefined recommended range further comprises, if the current value of the node timeout value is greater than the upper bound of the predefined threshold range, providing a warning that the node timeout value is too high and generating an instruction configured to set the node timeout value of the node to the upper bound of the predefined threshold range.

14. The method of claim 11, wherein the predetermined reference value further comprises a predefined recommended range and wherein the step of providing information based on the analysis of the current value relative to the predefined threshold range and the predefined recommended range further comprises, if the current value of the node timeout value is greater than the upper bound of the predefined recommended range, determining whether an empirical condition associated with the cluster computer system exists that suggests the current value of the node timeout value should be greater than the upper bound of the predefined recommended range.

15. The method of claim 14, further comprising the step of, if an empirical condition does not exist, providing a warning that the node timeout value is too high and generating an instruction configured to set the node timeout value of the node to the upper bound of the predefined threshold range.

16. The method of claim 11, wherein the predetermined reference value further comprises a predefined recommended range and wherein the step of providing information based on the analysis of the current value relative to the predefined threshold range and the predefined recommended range further comprises, if the current value of the node timeout value is less than the lower bound of the predefined recommended range, determining whether an empirical condition associated with the cluster computer system exists that suggests the current value of the node timeout value should be less than the upper bound of the predefined recommended range.

17. The method of claim 16, further comprising the step of, if an empirical condition does not exist, providing a warning that the node timeout value is too low and generating an instruction configured to set the node timeout value of the node to the lower bound of the predefined recommended range.

18. The method of claim 11, wherein the predetermined reference value further comprises a predefined recommended range and wherein the step of providing information based on the analysis of the current value relative to the predefined threshold range and the predefined recommended range further comprises, if the current value of the node timeout value is not less than the lower bound of the predefined threshold range, providing a warning that the node timeout value is too low and generating an instruction configured to set the node timeout value of the node to the lower bound of the predefined threshold range.

19. A method for providing automated diagnostic services for a cluster computer system comprising a plurality of nodes, each of the plurality of nodes providing an application to a plurality of clients, the method comprising the steps of:

receiving a current value of a network parameter related to cluster middleware associated with the cluster computer system;

analyzing the current value of the network parameter relative to a predetermined reference value for the network parameter; and

providing information based on the analysis of the current value relative to the predetermined reference value,

wherein the network parameter relates to an autostart timeout interval for a node in the cluster computer system and the predetermined reference value comprises a predefined range for the autostart timeout interval.

20. The method of claim 19, wherein the step of analyzing the current value of the autostart timeout interval relative to the predefined range comprises determining whether the current value of the autostart timeout interval is within the predefined range.

21. The method of claim 20, wherein the step of providing information based on the analysis of the current value relative to the predefined range for the autostart timeout interval comprises, if the current value of the autostart timeout interval is above the upper bound of the predefined range, providing an instruction configured to decrease the autostart timeout interval of the node.

22. The method of claim 20, wherein the step of providing information based on the analysis of the current value relative to the predefined range for the autostart timeout interval comprises, if the current value of the autostart timeout interval is below the lower bound of the predefined range, providing an instruction configured to increase the autostart timeout interval of the node.

23. The method of claim 20, wherein the step of determining whether the current value of the autostart timeout interval is within the predefined range is performed after determining that a cluster unification process has been initiated during reboot of the node.

24. A method for providing automated diagnostic services for a cluster computer system comprising a plurality of nodes, each of the plurality of nodes providing an application to a plurality of clients, the method comprising the steps of:

receiving a current value of a network parameter related to cluster middleware associated with the cluster computer system;

analyzing the current value of the network parameter relative to a predetermined reference value for the network parameter; and

providing information based on the analysis of the current value relative to the predetermined reference value,

wherein the network parameter relates to a network polling interval for a node in the cluster computer system and the predetermined reference value comprises a predefined range for the autostart timeout interval.

25. The method of claim 24, wherein the step of analyzing the current value of the network polling interval relative to the predefined range comprises determining whether the current value of the network polling interval is within the predefined range.

26. The method of claim 25, wherein the step of providing information based on the analysis of the current value relative to the predefined range for the network polling interval comprises, if the current value of the network polling interval is above the upper bound of the predefined range, providing an instruction configured to decrease the network polling interval of the node.

27. The method of claim 25, wherein the step of providing information based on the analysis of the current value relative to the predefined range for the network polling interval comprises, if the current value of the network polling interval is below the lower bound of the predefined range, providing an instruction configured to increase the network polling interval of the node.

28. The method of claim 25, wherein the step of determining whether the current value of the network polling interval is within the predefined range is performed after determining that the network polling has been set.

29. A system for providing automated diagnostic services for a cluster computer system comprising a plurality of nodes, each of the plurality of nodes providing a mission-critical application to a plurality of clients, the system comprising:

a first portion of logic configured to receive a current value of a network parameter related to cluster middleware associated with the cluster computer system;

a second portion of logic configured to analyze the current value of the network parameter relative to a predetermined reference value for the network parameter; and

a third portion of logic configured to provide information based on the analysis of the current value relative to the predetermined reference value,

wherein the network parameter relates to a network heartbeat interval for a node in the cluster computer system and the predetermined reference value is an optimal network heartbeat interval for the node based on the current heartbeat link for the node.

30. The system of claim 29, wherein the second portion of logic is further configured to determine whether the difference between the current value and the optimal network heartbeat interval is within a predetermined variance.

31. The system of claim 30, wherein the third portion of logic is further configured to provide a warning of a potential failover recovery problem if the difference between the current value and the optimal network heartbeat interval is not within the predetermined variance.

32. The system of claim 30, further comprising a fourth portion of logic configured to determine whether an alternative heartbeat link for the node is available if the difference between the current value and the optimal network heartbeat interval is not within the predetermined variance.

33. The system of claim 32, further comprising a fifth portion of logic configured to provide a warning of a potential failover recovery problem if an alternative heartbeat link for the node is not available.

34. The system of claim 32, further comprising a fifth portion of logic configured to determine, if an alternative heartbeat link for the node is available, the optimal network heartbeat interval for the node based on the alternative heartbeat link for the node and analyze the current value of the network heartbeat interval relative to the optimal network heartbeat interval associated with the alternative heartbeat link for the node.

35. The system of claim 30, further comprising a fourth portion of logic configured to repeat the first, second, and third portions of logic for another node in the cluster computer system if the difference between the current value and the optimal network heartbeat interval is within the predetermined variance.

36. A system for providing automated diagnostic services for a cluster computer system comprising a plurality of nodes, each of the plurality of nodes providing a mission-critical application to a plurality of clients, the system comprising:

a first portion of logic configured to receive a current value of a network parameter related to cluster middleware associated with the cluster computer system;

a second portion of logic configured to analyze the current value of the network parameter relative to a predetermined reference value for the network parameter; and

a third portion of logic configured to provide information based on the analysis of the current value relative to the predetermined reference value,

wherein the network parameter relates to a node timeout value for a node in the cluster computer system and the predetermined reference value comprises a predefined threshold range for the node timeout value.

37. The system of claim 36, wherein the predefined threshold range for the node timeout value is based on a function of a network heartbeat interval for the node.

38. The system of claim 37, wherein the third portion of logic is further configured to determine whether the current value of the node timeout value is within a predetermined variance.

39. The system of claim 38, wherein the third portion of logic is further configured to provide a warning that the node timeout value is not within the predefined threshold range.

40. The system of claim 39, wherein the third portion of logic is further configured to generate an instruction configured to set the node timeout value within the predefined threshold range.

41. The system of claim 39, wherein the predetermined reference value further comprises a predefined recommended range and wherein the third portion of logic is further configured to, if the current value of the node timeout value is greater than the upper bound of the predefined threshold range, provide a warning that the node timeout value is too high and generate an instruction configured to set the node timeout value of the node to the upper bound of the predefined threshold range.

42. The system of claim 39, wherein the predetermined reference value further comprises a predefined recommended range and wherein the third portion of logic is further configured to, if the current value of the node timeout value is greater than the upper bound of the predefined recommended range, determine whether an empirical condition associated with the cluster computer system exists that suggests the current value of the node timeout value should be greater than the upper bound of the predefined recommended range.

43. The system of claim 42, further comprising a fourth portion of logic configured to, if an empirical condition does not exist, provide a warning that the node timeout value is too high and generate an instruction configured to set the node timeout value of the node to the upper bound of the predefined threshold range.

44. The system of claim 39, wherein the predetermined reference value further comprises a predefined recommended range and wherein the third portion of logic is further configured to, if the current value of the node timeout value is less than the lower bound of the predefined recommended range, determine whether an empirical condition associated with the cluster computer system exists that suggests the current value of the node timeout value should be less than the upper bound of the predefined recommended range.

45. The system of claim 44, wherein the third portion of logic is further configured to, if an empirical condition does not exist, provide a warning that the node timeout value is too low and generate an instruction configured to set the node timeout value of the node to the lower bound of the predefined recommended range.

46. The system of claim 39, wherein the predetermined reference value further comprises a predefined recommended range and wherein the third portion of logic is further configured to, if the current value of the node timeout value is not less than the lower bound of the predefined threshold range, provide a warning that the node timeout value is too low and generate an instruction configured to set the node timeout value of the node to the lower bound of the predefined threshold range.

47. A system for providing automated diagnostic services for a cluster computer system comprising a plurality of nodes, each of the plurality of nodes providing a mission-critical application to a plurality of clients, the system comprising:

a first portion of logic configured to receive a current value of a network parameter related to cluster middleware associated with the cluster computer system;

a second portion of logic configured to analyze the current value of the network parameter relative to a predetermined reference value for the network parameter; and

a third portion of logic configured to provide information based on the analysis of the current value relative to the predetermined reference value,

wherein the network parameter relates to an autostart timeout interval for a node in the cluster computer system and the predetermined reference value comprises a predefined range for the autostart timeout interval.

48. The system of claim 47, wherein the second portion of logic is further configured to determine whether the current value of the autostart timeout interval is within the predefined range.

49. The system of claim 48, wherein the third portion of logic is further configured to, if the current value of the autostart timeout interval is above the upper bound of the predefined range, provide an instruction configured to decrease the autostart timeout interval of the node.

50. The system of claim 48, wherein the third portion of logic is further configured to, if the current value of the autostart timeout interval is below the lower bound of the predefined range, provide an instruction configured to increase the autostart timeout interval of the node.

51. The system of claim 48, wherein the second portion of logic is further configured to determine whether the current value of the autostart timeout interval is within the predefined range is performed after determining that a cluster unification process has been initiated during reboot of the node.

52. A system for providing automated diagnostic services for a cluster computer system comprising a plurality of nodes, each of the plurality of nodes providing a mission-critical application to a plurality of clients, the system comprising:

a first portion of logic configured to receive a current value of a network parameter related to cluster middleware associated with the cluster computer system;

a second portion of logic configured to analyze the current value of the network parameter relative to a predetermined reference value for the network parameter; and

a third portion of logic configured to provide information based on the analysis of the current value relative to the predetermined reference value,

wherein the network parameter relates to a network polling interval for a node in the cluster computer system and the predetermined reference value comprises a predefined range for the network polling interval.

53. The system of claim 52, wherein the second portion of logic is further configured to determine whether the current value of the network polling interval is within the predefined range.

54. The system of claim 53, wherein the third portion of logic is further configured to, if the current value of the network polling interval is above the upper bound of the predefined range, provide an instruction configured to decrease the network polling interval of the node.

55. The system of claim 53, wherein the third portion of logic is further configured to, if the current value of the network polling interval is below the lower bound of the predefined range, provide an instruction configured to increase the network polling interval of the node.

56. The system of claim 53, wherein the second portion of logic is further configured to determine whether the current value of the network polling interval is within the predefined range is performed after determining that the network polling has been set.