Abstract: This application relates to a method of analyzing the memory usage being performed on a user terminal, the user terminal executing a plurality of application objects and the method includes (a) measuring an active virtual memory (AVM) usage being used in the plurality of application objects, (b) determining a physical memory usage from the active virtual memory when measuring the active virtual memory usage and (c) subtracting the physical memory usage from the measured active virtual memory usage to determine a swap unique memory usage. Therefore, it may be possible to efficiently measure the memory usage used only in the swap memory from the active virtual memory.

Abstract: This application relates to a method of analyzing the memory usage being performed on a user terminal, the user terminal executing a plurality of application objects and the method includes (a) measuring an active virtual memory (AVM) usage being used in the plurality of application objects, (b) determining a physical memory usage from the active virtual memory when measuring the active virtual memory usage and (c) subtracting the physical memory usage from the measured active virtual memory usage to determine a swap unique memory usage. Therefore, it may be possible to efficiently measure the memory usage used only in the swap memory from the active virtual memory.

Abstract: A resource monitoring method comprises the steps of: generating process information including a process identifier, process user, process name, CPU usage, and IO usage; determining at least one first process having the same process user and process name from among a plurality of processes currently being executed; generating first group process information including a group process identifier, total CPU usage, and total IO usage of the determined at least one first process; and monitoring resources of the computing device in units of the generated first group process information.

Abstract: A method of representing a usage of a monitoring resource includes designating monitoring target processes based on a weight file including a resource weight assigned according to resource importance for each of at least one process, minimum and maximum values of a corresponding resource weight and a resource identifier, applying the resource weight to resource items including CPU, memory and I/O usage rates, the resource items influencing on each of the monitoring target processes and visually representing each of the monitoring target processes according to the applied resource weight by a user request or periodically. Therefore, this application may apply a resource weight according to a resource importance being used by each of processes so that a user may check and actively deal with a system status.

Abstract: This application relates to a method of controlling a measurement window and the method includes (a) measuring measurement targets according to measurement cycles for a plurality of measurement windows, (b) displaying measurement values for the plurality of the measurement targets on a measurement target sub window of each of the plurality of the measurement windows in a time-series order, (c) detecting a temporal position of an event to provide the event when the event occurs at one of the plurality of the measurement windows, (d) detecting the temporal position for each of at least one of other measurement windows and (e) providing the event at a corresponding temporal position for each of the at least one of other measurement window. Therefore, the method may simultaneously display a system measurement value generated at a specific time on a plurality of windows.

Abstract: Disclosed is a method of representing usage quantity of an execution core. The method includes (a) receiving a specific process display mode among a plurality of process display modes, (b) measuring the usage quantities of the at least one execution core according to the specific process display mode, the usage quantities including at least one of maximum and average usage quantities or a current usage quantity for a corresponding execution core and (c) overlaidly representing the measured usage quantities at a reference point of a specific axis. Therefore, usage quantities for a process may be overlaidly represented so that the user may efficiently analyze and manage the usage quantities on a small screen.