Software application optimization
Embodiments of the present disclosure relate to software application optimization. Other embodiments may be described and/or claimed.
1. A system comprising:
a processor; and
memory coupled to the processor and storing instructions that, when executed by the processor, cause the system to perform operations comprising:
identifying a plurality of code frames for a software application;
retrieving a set of metrics collected for the software application;
determining, based on the set of metrics, a compilation state for each respective code frame;
determining a respective weight associated with the respective compilation state for each respective code frame, wherein determining the respective weight for each respective code frame includes applying a function to assign the respective weight to the respective code frame based on a processor utilization metric associated with the respective code frame and the compilation state of the respective code frame, and wherein the compilation state for a code frame from the plurality of code frames is a compiled state having an enumerated tier and an enumerated level within the tier; and
generating an optimization report comprising a list of the code frames and the respective weight for each code frame.
2. The system of claim 1 , wherein the compilation state for a code frame from the plurality of code frames is an interpreted state or a compiled state.
3. The system of claim 1 , wherein determining the compilation state for the code frames includes analyzing respective metadata associated with each respective code frame.
4. The system of claim 3 , wherein the metadata for a code frame includes respective compilation information for each respective method associated with the code frame.
5. The system of claim 1 , wherein the set of metrics includes one or more of: an amount of processor execution time for a thread of the software application, and a latency associated with a thread of the software application.
6. The system of claim 1 , wherein generating the optimization report includes identifying a portion of the software application that was not compiled inline due to a size of one or more methods associated with a code frame.
7. A tangible, non-transitory computer-readable medium storing instructions that, when executed by a computer system, cause the computer system to perform operations comprising:
identifying a plurality of code frames for a software application;
retrieving a set of metrics collected for the software application;
determining, based on the set of metrics, a compilation state for each respective code frame;
determining a respective weight associated with the respective compilation state for each respective code frame, wherein determining the respective weight for each respective code frame includes applying a function to assign the respective weight to the respective code frame based on a processor utilization metric associated with the respective code frame and the compilation state of the respective code frame, and wherein the compilation state for a code frame from the plurality of code frames is a compiled state having an enumerated tier and an enumerated level within the tier; and
generating an optimization report comprising a list of the code frames and the respective weight for each code frame.
8. The tangible, non-transitory computer-readable medium of claim 7 , wherein the compilation state for a code frame from the plurality of code frames is an interpreted state or a compiled state.
9. The tangible, non-transitory computer-readable medium of claim 7 , wherein determining the compilation state for the code frames includes analyzing respective metadata associated with each respective code frame.
10. The tangible, non-transitory computer-readable medium of claim 9 , wherein the metadata for a code frame includes respective compilation information for each respective method associated with the code frame.
11. The tangible, non-transitory computer-readable medium of claim 7 , wherein the set of metrics includes one or more of: an amount of processor execution time for a thread of the software application, and a latency associated with a thread of the software application.
12. The tangible, non-transitory computer-readable medium of claim 7 , wherein generating the optimization report includes identifying a portion of the software application that was not compiled inline due to a size of one or more methods associated with a code frame.
13. A method comprising:
identifying, by a computer system, a plurality of code frames for a software application;
retrieving, by the computer system, a set of metrics collected for the software application;
determining, by the computer system based on the set of metrics, a compilation state for each respective code frame;
determining, by the computer system, a respective weight associated with the respective compilation state for each respective code frame, wherein determining the respective weight for each respective code frame includes applying a function to assign the respective weight to the respective code frame based on a processor utilization metric associated with the respective code frame and the compilation state of the respective code frame, and wherein the compilation state for a code frame from the plurality of code frames is a compiled state having an enumerated tier and an enumerated level within the tier; and
generating, by the computer system, an optimization report comprising a list of the code frames and the respective weight for each code frame.
14. The method of claim 13 , wherein the compilation state for a code frame from the plurality of code frames is an interpreted state or a compiled state.
15. The method of claim 13 , wherein determining the compilation state for the code frames includes analyzing respective metadata associated with each respective code frame.
16. The method of claim 15 , wherein the metadata for a code frame includes respective compilation information for each respective method associated with the code frame.
17. The method of claim 13 , wherein the set of metrics includes one or more of: an amount of processor execution time for a thread of the software application, and a latency associated with a thread of the software application.
18. The method of claim 13 , wherein generating the optimization report includes identifying a portion of the software application that was not compiled inline due to a size of one or more methods associated with a code frame.