Method and system for analyzing electronic service execution

• US 20030084142A1
• Filed: 11/01/2001
• Published: 05/01/2003
• Est. Priority Date: 11/01/2001
• Status: Active Grant

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Dayal, Umeshwar, Casati, Fabio, Shan, Ming-Chien
• Granted Patent: US 7,403,985 B2
• Time in Patent Office: Days
• US Class Current: 709/224
• CPC Class Codes: G06F 11/3476 Data logging G06F11/14, G06F11/2205 take precedence
• CPC Class Codes: G06F 11/3495 for systems
• CPC Class Codes: G06F 2201/875 Monitoring of systems including the internet
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04L 41/0893 Assignment of logical groups to network elements
• CPC Class Codes: H04L 41/147 for predicting network behaviour
• CPC Class Codes: H04L 41/5003 Managing SLA; Interaction between SLA and QoS
• CPC Class Codes: H04L 41/5045 Making service definitions prior to deployment

Abstract

A method is disclosed for analyzing quality of an electronic service (e-service), such as an Internet-based service, hosted by an e-service platform. The provider or separate administrator defines quality of e-service execution by creating quality index records stored in an e-service warehouse. The quality index records allow assigning quality indexes to e-service execution based on specified parameters related to service execution, such as parameters related to transaction duration. As e-services are executed, service data is stored in a log. The service data is processed by an extract-transfer-load (ETL) engine that transfers data from the log to the warehouse. The data is mapped to quality indexes for analysis. The data can be viewed with a reporting tool, such as a dedicated console or a commercially-available analysis tool. Using the tool, the administrator can identify patterns corresponding to poor execution quality and can attempt to resolve the problems. Classification and prediction models are also created and stored to analyze past transactions and to predict behavior of future transactions. The models can be used to re-design the e-service execution and/or can be used at run-time to optimize e-service execution.

Claims

1. A method of analyzing quality of electronic services hosted by an electronic services platform, comprising:

specifying parameters related to quality of execution of an electronic service hosted by a platform;

retrieving electronic service execution data for a plurality of executions of the electronic service, the data being related to the parameters;

identifying characteristics related to the quality using the execution data; and

associating the characteristics with the parameters.

2. The method of claim 1, wherein the electronic service is a web-based electronic service.

3. The method of claim 1, wherein the step of retrieving comprises retrieving execution data from a log maintained by the platform.

4. The method of claim 1, further comprising creating a log by establishing a proxy between the electronic service and the platform.

5. The method of claim 1, further comprising loading the execution data into a warehouse.

6. The method of claim 5, wherein the warehouse stores raw data related to individual executions of the electronic service, aggregated data related to the plurality of executions, and defined functions for analyzing the execution data.

7. The method of claim 5, further comprising preparing the execution data for using an extract-transfer-load engine that checks the data before the loading.

8. The method of claim 7, wherein the step of preparing comprises loading the data into a shadow table, and wherein the step of loading into the warehouse comprises loading the data from the shadow table to the warehouse.

9. The method of claim 1, wherein the step of specifying comprises assigning a quality index to a set of characteristics of an electronic service execution, and wherein the step of identifying comprises identifying using the quality index.

10. A method of analyzing quality of an electronic service hosted by an electronic service platform, the method comprising:

assigning quality indexes to sets of parameters related to execution of an electronic service;

executing the electronic service a plurality of times using an electronic service platform;

storing electronic service data related to service execution in a log maintained by the platform;

storing the electronic service data to an electronic service warehouse; and

applying the quality indexes to the service data to analyze the service execution.

11. The method of claim 10, wherein the parameters include a parameter related to execution time.

12. The method of claim 10, wherein the step of storing the electronic service data comprises:

storing raw data related to individual instances of electronic service execution;

storing aggregate data related to a plurality of executions; and

storing definitions of functions for analyzing the service data.

13. The method of claim 10, further comprising creating service execution models using the service data and quality indexes.

14. The method of claim 10, further comprising formatting the service data for analysis by a reporting tool.

15. A system for analyzing quality of an electronic service, comprising:

a platform that executes an electronic service for a service provider, wherein the platform maintains a log of electronic service data related to execution of the electronic service;

an electronic service warehouse that stores the service data;

an ETL engine that transfers the service data from the log to the warehouse; and

an ESI engine that applies a quality index to the service data based on quality of the execution, wherein the quality index is used to analyze the execution.

16. The system of claim 15, wherein the ETL engine extracts the service data from the log, checks the service data to ensure that the service data are valid, and loads the service data into the warehouse.

17. The system of claim 15, wherein the ETL engine stores the service data in a shadow table and loads the service data from the shadow table to the warehouse.

18. The system of claim 15, wherein the warehouse stores raw service data for individual instances of service execution, aggregate service data for a plurality of transactions, and function definitions for analyzing the service data.

19. The system of claim 15, wherein the ESI engine prepares the service data for analysis by a reporting tool.

20. The system of claim 15, wherein the quality index is a value assigned by the service provider to a service execution based on a plurality of parameters specified in a quality index record.