Method and apparatus for managing a computer data storage system

• US 20060106819A1
• Filed: 10/28/2004
• Published: 05/18/2006
• Est. Priority Date: 10/28/2004
• Status: Abandoned Application

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Mopur, Satish Kumar, Dhanadevan, Komateswar
• Application Number:
  US10/977,191
• Publication Number:
  US 20060106819A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 11/2257 using expert systems
• CPC Class Codes: G06F 11/3485 for I/O devices
• CPC Class Codes: G06F 16/10 File systems; File servers
• CPC Class Codes: G06F 3/0605 by facilitating the interaction with a user or administrator
• CPC Class Codes: G06F 3/0632 by initialisation or re-initialisation of storage systems
• CPC Class Codes: G06F 3/0653 Monitoring storage devices or systems
• CPC Class Codes: G06F 3/067 Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• CPC Class Codes: H04L 41/16 using machine learning or artificial intelligence
• CPC Class Codes: H04L 43/50 Testing arrangements
• CPC Class Codes: H04L 67/1097 for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]

Abstract

A method and apparatus is disclosed for managing a Storage Area Network (SAN) in which testing of a SAN configuration and selection of suitable test cases is carried out automatically. The system is also able to search a SAN configuration to determine the particular element or region of a SAN responsible for a detected fault.

Claims

1. A method of managing a data storage network, the method comprising the steps of:

a) storing a model configuration of a data storage network and an associated test scenario for said model data storage network;

b) collecting data representing an actual data storage network configuration;

c) comparing said data representing the actual data storage network to said model configuration of a data storage network; and

d) if said collected data corresponds to said stored model configuration then applying said associated test scenario to said actual data storage network.

2. A method according to claim 1 in which said data storage network is a Storage Area Network (SAN).

3. A method according to claim 1 in which if in step d) said collected data only partially corresponds to said model configuration then only applying the elements of said test scenario to said actual data storage network where said partial correspondence exists.

4. A method according to claim 1 further comprising the step of:

e) storing a model of said actual data storage network and subsequently comparing data representing a further actual data storage network and said stored models and selecting one of said models which corresponds most closely to said further actual data storage network.

5. A method according to claim 1 in which said model comprises topological data and component characteristics.

6. A method according to claim 1 in which in step a) a set of fault finding procedures are stored and if a fault indicated by said test scenario corresponds to one of said fault finding procedures, said procedure is applied to the actual data storage network to locate said fault.

7. A method according to claim 6 in which said fault finding procedures are arranged to locate a fault within a region of said actual data storage network.

8. A method according to claim 6 in which said fault finding procedures are arranged to locate a fault within an element of said actual data storage network.

17. A computer program or group of computer programs arranged to enable a computer or group of computer programs to carry out the method of claim 1.

9. Apparatus for managing a data storage network comprising:

a database for storing a model configuration of a data storage network and an associated test scenario for said model data storage network;

an engine for collecting data representing an actual data storage network configuration; and

an expert system for comparing said data representing said actual data storage network to said model configuration of a data storage network, wherein if said collected data corresponds to said stored model configuration then said engine is further operable to apply said associated test scenario to said actual data storage network.

10. Apparatus according to claim 9 in which said data storage network is a Storage Area Network (SAN).

11. Apparatus according to claim 9 in which said expert system is operable, if said collected data only partially corresponds to said model configuration, to only applying elements of said test scenario to said actual data storage network where said partial correspondence exists.

12. Apparatus according to claim 9 in which the model of said actual data storage network is stored and subsequently used for comparing data representing a further actual data storage network and said stored models and selecting one of said models which corresponds most closely to said further actual data storage network.

13. Apparatus according to claim 9 in which said model comprises topological data and component characteristics.

14. Apparatus according to claim 9 in which a set of fault finding procedures are stored in said database and if a fault indicated by said test scenario corresponds to one of said fault finding procedures, said procedure is applied to said actual data storage network to locate said fault.

15. Apparatus according to claim 14 in which said fault finding procedures are arranged to locate a fault within a region of said actual data storage network.

16. Apparatus according to claim 14 in which said fault finding procedures are arranged to locate a fault within an element of said actual data storage network.

18. A computer program or group of computer programs arranged to enable a computer or group of computer programs to provide the apparatus of claim 9.

19. Apparatus for automated selection of test scenarios for a Storage Area Network (SAN), the apparatus comprising:

an expert system database for storing a model configuration of a SAN and an associated test scenario for said SAN;

a SAN engine for collecting data representing an actual SAN configuration;

an expert system for comparing said data representing the actual SAN to said model configuration of a SAN; and

a scenario interpreter operable, if said collected data corresponds to said stored model configuration, to apply said associated test scenario to said actual SAN.