Abstract
In the Android system, software aging is an essential factor affecting user experience. Its occurrence will lead to poor responsiveness or crash/hang failure of the system. Recently, the strategies to schedule rejuvenation are marching toward a situation that needs to consider both usage behavioral aspects of its users (i.e., switch between active and sleep modes) and two-level software aging process (i.e., Operating System (OS) and Application Software (AS)), because rejuvenating the OS or AS during active time slot contributes to terrible user experience. To be able to achieve higher user experience and lower user interference, in this paper, we present to employ the Continuous Time Markov Chain (CTMC) model to study the impact of software aging and rejuvenation on user experience on two different rejuvenation strategies: condition-based and time-based rejuvenations. In contrast to the existing works, our models capture the interactions between usage behavioral aspects of users and two-level aging and rejuvenation. We then define three metrics to evaluate the user experience, including User-perceived (1) Fluency (UF), (2) Failure Probability (UFP), and (3) Availability (UA). The numerical analysis has the following noticed conclusions. The optimal value of UF yielded by condition-based rejuvenation reaches a 3.486% improvement over that of time-based. Therefore, the former is an appealing rejuvenation solution. Moreover, compared with single-level (OS and AS) rejuvenation models, two-level rejuvenation indeed improves the user experience. Concretely, the values of three metrics achieve 80.20% and 14.45%,83.39% and 98.45%, 0.004% and 0.048% improvements, respectively.
Published Version
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