This paper analyzes the phenomenon of software aging – namely, the gradual performance degradation and resource exhaustion in the long run – in the Android OS. The study intends to highlight if, and to what extent, devices from different vendors, under various usage conditions and configurations, are affected by software aging and which parts of the system are the main contributors. The results demonstrate that software aging systematically determines a gradual loss of responsiveness perceived by the user, and an unjustified depletion of physical memory. The analysis reveals differences in the aging trends due to the workload factors and to the type of running applications, as well as differences due to vendors’ customization. Moreover, we analyze several system-level metrics to trace back the software aging effects to their main causes. We show that bloated Java containers are a significant contributor to software aging, and that it is feasible to mitigate aging through a micro-rejuvenation solution at the container level.

A comprehensive study on software aging across android versions and vendors / Cotroneo, D.; Iannillo, A. K.; Natella, R.; Pietrantuono, R.. - In: EMPIRICAL SOFTWARE ENGINEERING. - ISSN 1382-3256. - 25:5(2020), pp. 3357-3395. [10.1007/s10664-020-09838-3]

A comprehensive study on software aging across android versions and vendors

Cotroneo D.;Iannillo A. K.;Natella R.;Pietrantuono R.
2020

Abstract

This paper analyzes the phenomenon of software aging – namely, the gradual performance degradation and resource exhaustion in the long run – in the Android OS. The study intends to highlight if, and to what extent, devices from different vendors, under various usage conditions and configurations, are affected by software aging and which parts of the system are the main contributors. The results demonstrate that software aging systematically determines a gradual loss of responsiveness perceived by the user, and an unjustified depletion of physical memory. The analysis reveals differences in the aging trends due to the workload factors and to the type of running applications, as well as differences due to vendors’ customization. Moreover, we analyze several system-level metrics to trace back the software aging effects to their main causes. We show that bloated Java containers are a significant contributor to software aging, and that it is feasible to mitigate aging through a micro-rejuvenation solution at the container level.
2020
A comprehensive study on software aging across android versions and vendors / Cotroneo, D.; Iannillo, A. K.; Natella, R.; Pietrantuono, R.. - In: EMPIRICAL SOFTWARE ENGINEERING. - ISSN 1382-3256. - 25:5(2020), pp. 3357-3395. [10.1007/s10664-020-09838-3]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/818687
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