OPTIMIZING AN INTERACTION MODEL FOR AN APPLICATION
An interaction model for an application includes patterns which represent interactions between a client and an application. To determine whether the patterns accurately represent activity of the application, and to determine whether additional patterns are appropriate, the application is exercised. Requests to the application are analyzed to determine whether they correspond to the known patterns. If a request does not correspond to a known pattern, instrumented components which are invoked by the request are monitored to determine whether they meet one or more criterion, such as a resource utilization criterion. A report provides data regarding the instrumented components. New pattern candidates for the interaction model can be identified from non-matching requests which are deemed to be significant based on the associated components which are invoked.
1 . A method for analyzing an application, comprising:
running an application having instrumented components by providing requests to the application;
determining whether or not the requests correspond to at least one pattern; and
determining whether a subset of the instrumented components which are invoked by requests which do not correspond to the at least one pattern meet at least one criterion.
2 . The method of claim 1 , wherein:
the at least one pattern is associated with an interaction model for the application.
3 . The method of claim 2 , further comprising:
providing at least one new pattern for the interaction model based on the requests which do not correspond to the at least one pattern and for which the subset of the instrumented components meet the at least one criterion.
4 . The method of claim 1 , wherein:
the at least one pattern is associated with at least one of a component of a web page, a web page and a set of web pages.
5 . The method of claim 1 , further comprising:
reporting the requests which do not correspond to the at least one pattern when the subset of the instrumented components meet the at least one criterion.
6 . The method of claim 1 , further comprising:
reporting the subset of the instrumented components when the subset of the instrumented components meet the at least one criterion.
7 . The method of claim 1 , wherein:
the subset of the instrumented components meets the at least one criterion when a resource utilization of the subset of the instrumented components exceeds a threshold during the running.
8 . The method of claim 1 , wherein:
the subset of the instrumented components meets the at least one criterion when at least one of a consumption of processor resources and an execution time exceeds a threshold during the running.
9 . The method of claim 1 , wherein:
the subset of the instrumented components meets the at least one criterion when at least one of the instrumented components in the subset is called with a frequency which exceeds a threshold during the running.
10 . The method of claim 1 , wherein:
the subset of the instrumented components meets the at least one criterion when at least one of the instrumented components in the subset calls other components with a frequency which exceeds a threshold during the running.
11 . The method of claim 1 , wherein:
the subset of the instrumented components meets the at least one criterion when at least one of the instrumented components of the subset is called by a number of other components which exceeds a threshold during the running.
12 . The method of claim 1 , wherein:
the subset of the instrumented components meets the at least one criterion when at least one of the instrumented components calls a number of other components which exceeds a threshold during the running.
13 . The method of claim 1 , wherein:
the subset of the instrumented components meets the at least one criterion when a number of multiple instances of at least one of the instrumented components which exceeds a threshold are in use simultaneously during the running.
14 . The method of claim 1 , wherein:
the subset of the instrumented components meets the at least one criterion based on an order in which the subset of the instrumented components is invoked during the running.
15 . The method of claim 1 , wherein:
the subset of the instrumented components meets the at least one criterion when at least one of the instrumented components is a first-invoked component when the application processes a request during the running.
16 . The method of claim 1 , wherein:
the subset of the instrumented components meets the at least one criterion when at least one of the instrumented components is a last-invoked component when the application processes a request during the running.
17 . The method of claim 1 , wherein:
the subset of the instrumented components meets the at least one criterion when at least one of the instrumented components calls an application programming interface during the running.
18 . The method of claim 1 , wherein:
the subset of the instrumented components meets the at least one criterion when a variance in execution time of at least one of the instrumented components exceeds a threshold during the running.
19 . The method of claim 1 , wherein:
the application is run by at least one human operator interacting with the application, the at least one human operator providing requests to the application via at least one client machine, the requests are associated with an interaction model.
20 . The method of claim 1 , wherein:
the application is run by a load simulator interacting with the application, the load simulator providing requests to the application, the requests are associated with an interaction model.
21 . At least one processor readable storage device having processor readable code embodied thereon for programming at least one processor to perform a method, the method comprising:
running an application having instrumented components by providing requests to the application;
determining whether or not the requests correspond to at least one pattern; and
determining whether a subset of the instrumented components which are invoked by requests which do not correspond to the at least one pattern meet at least one criterion.
22 . The at least one processor readable storage device of claim 21 , wherein:
the at least one pattern is associated with an interaction model for the application.
23 . The at least one processor readable storage device of claim 22 , wherein the method performed further comprises:
providing at least one new pattern for the interaction model based on the requests which do not correspond to the at least one pattern and for which the subset of the instrumented components meet the at least one criterion.
24 . The at least one processor readable storage device of claim 21 , wherein:
the subset of the instrumented components meets the at least one criterion when a resource utilization of the subset of the instrumented components exceeds a threshold during the running.
25 . A system for analyzing an application, comprising:
one or more storage devices; and
one or more processors in communication with said one or more storage devices, said one or more processors perform a method, the method comprising the steps of:
running an application having instrumented components by providing requests to the application;
determining whether or not the requests correspond to at least one pattern; and
determining whether a subset of the instrumented components which are invoked by requests which do not correspond to the at least one pattern meet at least one criterion.
26 . A method for analyzing an application, comprising:
running an application having instrumented components by providing requests to the application;
determining whether or not the requests correspond to at least one pattern which is associated with an interaction model; and
determining whether requests which do not correspond to the at least one pattern are significant.
27 . The method of claim 26 , further comprising:
ranking the requests which do not correspond to the at least one pattern according to their significance.
28 . The method of claim 26 , further comprising:
reporting the requests which are significant.
29 . The method of claim 26 , further comprising:
providing at least one new pattern for the interaction model based on the requests which are significant.