Information processing apparatus, information processing method, and program

A computer-implemented method for evaluating device performance, comprising:

• identifying a plurality of associated devices, the associated devices
• being accessible to a user via a network;
• receiving information corresponding to the associated devices, the information comprising a function provided by the associated devices, a usage history of the associated devices, and performance data corresponding to the associated devices;
• generating, using a processor, a first value and a second value of an execution metric describing at least one of an execution of the function by the associated devices of the performance data corresponding to the associated devices, based on at least the received information;
• generating a recommendation comprising a subset of the associated devices or at least one of the plurality of functions, based on at least one generated metric value;
• selecting first and second subsets of the associated devices, the first and second subsets being associated with first and second frequencies;
• obtaining a third value of the execution metric corresponding to the execution of the selected function by the first subset, and obtain a fourth value of the execution metric corresponding to the execution of the selected function by the second subset;
• determining whether the first frequency exceeds a threshold frequency, and whether the third value exceeds the fourth value;
• selecting the first subset for the recommendation, when the first frequency fails to exceed the threshold frequency, and when the third value exceeds the fourth value;
• selecting the first subset for the recommendation, when the first frequency fails to exceed the threshold frequency, and when the third value exceeds the fourth value;
• selecting a function for the recommendation from the plurality of functions;
• obtaining usage history information corresponding to the associated devices, the usage history information comprising frequencies at which the selected function is executed by the associated devices;
• selecting at least one subset of the associated devices for the recommendation, based on at least an obtained second metric value and the usage history information;
• and
• outputting the generated metric value.

A non-transitory, computer-readable storage medium storing a program that, when executed by a processor, causes the processor to perform a method for evaluating device performance, comprising:

• identifying a plurality of associated devices, the associated devices being accessible to a user via a network;
• receiving information corresponding to the associated devices, the information comprising a function provided by the associated devices, a usage history of the associated devices, and performance data corresponding to the associated devices;
• generating, using a processor, a first value of an execution metric
• describing at least one of an execution of the function by the associated devices or the performance data corresponding to the associated devices, based on at least the received information;
• generating a recommendation comprising a subset of the associated devices or at least one of the plurality of functions, based on at least one generated metric value;
• selecting first and second subsets of the associated devices, the first and second subsets being associated with first and second frequencies;
• obtaining a third value of the execution metric corresponding to the execution of the selected function by the first subset, and obtain a fourth value of the execution metric corresponding to the execution of the selected function by the second subset;
• determining whether the first frequency exceeds a threshold frequency, and whether the third value exceeds the fourth value;
• selecting the first subset for the recommendation value, when the first frequency fails to exceed the threshold frequency, and when the third value exceeds the fourth;
• selecting a function for the recommendation from the plurality of functions;
• obtaining usage history information corresponding to the associated devices, the usage history information comprising frequencies at which the selected function is executed by the associated devices;
• selecting at least one subset of the associated devices for the recommendation, based on at least an obtained second metric value and the usage history information;
• and
• outputting the generated metric value.