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App predictive pre-launch
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A pre-start, predictor technology, applied in the direction of program loading/starting, instrumentation, computing, etc., can solve problems that are not effective enough to give users response or expected performance
Active Publication Date: 2019-02-22
MICROSOFT TECH LICENSING LLC
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Problems solved by technology
While these solutions improve the startup time of the application, they may not be sufficient to give the user sufficient responsiveness or desired performance, and may not be effective when cache space is limited
Method used
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Embodiment 1
[0091] Example 1: Overall Rate Predictor
[0092] If the predictor has observed user duration d and event occurrence n times, a natural estimate is to use . if t 0 is the time when the predictor starts to observe the user, then t i is the number of observations of the target event, and t is the current time, then the predictor can take:
[0093]
[0094] give
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Embodiment 2
[0096] Example 2: Per-Context Rate Predictor
[0097]Assume that the predictor knows that rates can have different contexts. For example, suppose the rate varies on different days of the week. Then, if t = "13:21.02, Friday, May 31, 2013", you might use:
[0098]
[0099] If the rate of events of interest varies within the first minute of login, you might use:
[0100]
[0101] In general, if the context at time t (e.g., day of the week, time of day, or whether it is within or after a certain time logged in) is c(t), then it is possible to compute at each context c (e.g., on Sunday, Monday, ..., Saturday) the number of times the event of interest was observed, which can be represented by n c (t) represents and possibly computes the total duration of observing the user in each context c, which can be denoted by d c (t) representation, and use:
[0102]
[0103] If I c (t) is a function equal to 1 when the context is 1, and 0 otherwise, you might use:
[0104] ...
Embodiment 3
[0105] Example 3: Rate Predictor of Decay
[0106] As t increases, count n c (t) and duration d c (t) grows larger and becomes subject to increasingly outdated user behavior. To overcome this problem, recency-weighting may be introduced such that more recent actions are weighted more heavily in count and duration. One option could be exponential weighting, where, when estimating counts and durations at a later time Δ, at time The behavior of the given weights . In this case it is possible to use:
[0107]
[0108]
[0109]
[0110] If an event (in this case, an app switch) changes in context (e.g., a change in time of day) and the query (i.e., the PLM query predictor) moves forward in time (forward) occurs, these counts (count), rate and duration (duration) can be calculated, which in Figure 7 Illustrated in flowchart form in and repeated here as follows:
[0111] 1. For each application (app) and context (context): set duration[app, context]=0, set count[a...
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Abstract
Systems and methods are disclosed for pre-launching applications in a computer system that are likely to be activated by a user from a terminated and / or suspended process state. Pre-launching of applications may affect such pre-launching based on the estimated probability of the application being activated and the availability level of system resources. Applications may be pre-launched based on these and other conditions / considerations, designed to improve the user experience of quick launch of applications in the background. Several predictive models are presented to provide a good estimate of the likelihood of the application being activated by the user. Such predictive models may include adaptive predictors (based on past application usage) and / or switching rate predictors (based on historical data of applications that are being switched and may have decay rates applied to such switching rate measurements ).
Description
Background technique [0001] Starting an application is an expensive operation due to the resources used during initialization. This problem may be further exacerbated with the proliferation of low-cost devices that may tend to have more hardware constraints than traditional desktops. In the past, solutions like caching have been used to speed up application startup. While these solutions improve the startup time of the application, they may not be sufficient to give the user sufficient responsiveness or desired performance, and may not be effective when cache space is limited. Contents of the invention [0002] The following presents a simplified overview of the invention in order to provide a basic understanding of some aspects described herein. This summary is not an extensive overview of claimed subject matter. It is intended to neither identify key or essential elements of the claimed subject matter nor delineate the scope of the subject invention. Its sole purpose i...
Claims
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