An Empirical Study of Software Aging Manifestations in Android

Yu, Qiao; Zhang, Zheng; Qin, Fangyun

doi:10.1109/issrew.2016.19

Cited by 23 publications

(12 citation statements)

References 13 publications

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“…Reference [6] introduced an experimental study about SA manifestation in Android OS. These aging-related bugs are shown up through injecting memory leaks into different heap areas (Dalvik heap and Native heap) with processes having different priorities (cached, persistent).…”

Section: Related Workmentioning

confidence: 99%

Factors Affecting Application Launch Time with Android OS

Noori

Fahad

2020

eijs

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Android OS is developing very fast, and because of being an open source OS, it is vulnerable to many problems that are manifested to users directly or indirectly. Poor application launch time is one of these problems. In this paper, a set of sixteen experiments is established to distinguish the factors that have the most evident effects on application launch time in Android mobiles. These factors are application, launch and kill, events, and storage. Mann Kendall (MK) test, one way analysis of variance (ANOVA), and Design of Experiment (DOE) are used to prove the influence of factors statistically. As a result of the experiments, the application factor, especially the third party applications level, has the most prominent effects on application launch time, followed by launch and Kill and events, while storage had the least influence.

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Section: Related Workmentioning

confidence: 99%

Factors Affecting Application Launch Time with Android OS

Noori

Fahad

2020

eijs

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“…Software aging may affect such systems also. Mobile systems also get affected by software aging as studied in [35][36][37]. Machine learning has been used for software aging detection in mobile systems [38].…”

Section: Software Aging Detection Techniquesmentioning

confidence: 99%

An analysis of software aging in cloud environment

Shruthi¹,

Cholli²

2020

IJECE

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Cloud Computing is the environment in which several virtual machines (VM) run concurrently on physical machines. The cloud computing infrastructure hosts multiple cloud service segments that communicate with each other using the interfaces. This creates distributed computing environment. During operation, the software systems accumulate errors or garbage that leads to system failure and other hazardous consequences. This status is called software aging. Software aging happens because of memory fragmentation, resource consumption in large scale and accumulation of numerical error. Software aging degrads the performance that may result in system failure. This happens because of premature resource exhaustion. This issue cannot be determined during software testing phase because of the dynamic nature of operation. The errors that cause software aging are of special types. These errors do not disturb the software functionality but target the response time and its environment. This issue is to be resolved only during run time as it occurs because of the dynamic nature of the problem. To alleviate the impact of software aging, software rejuvenation technique is being used. Rejuvenation process reboots the system or re-initiates the softwares. This avoids faults or failure. Software rejuvenation removes accumulated error conditions, frees up deadlocks and defragments operating system resources like memory. Hence, it avoids future failures of system that may happen due to software aging. As service availability is crucial, software rejuvenation is to be carried out at defined schedules without disrupting the service. The presence of Software rejuvenation techniques can make software systems more trustworthy. Software designers are using this concept to improve the quality and reliability of the software. Software aging and rejuvenation has generated a lot of research interest in recent years. This work reviews some of the research works related to detection of software aging and identifies research gaps.

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“…), gradually reducing responsiveness and performance, and eventually leading to crash. Empirical studies found that software aging affects also operating systems of mobile devices, like Android [5,6,7,8,9]. Due to the complexity of mobile OS, and often to constraints on testing and bug fixing for time-to-market pressure, it is not feasible to avoid software bloat.…”

Section: Introductionmentioning

confidence: 99%

Software Micro-Rejuvenation for Android Mobile Systems

Cotroneo,

De Simone,

Natella

et al. 2021

Preprint

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Software aging -the phenomenon affecting many long-running systems, causing performance degradation or an increasing failure rate over mission time, and eventually leading to failure -is known to affect mobile devices and their operating systems, too. Software rejuvenation -the technique typically used to counteract aging -may compromise the user's perception of availability and reliability of the personal device, if applied at a coarse grain, e.g., by restarting applications or, worse, rebooting the entire device.This article proposes a configurable micro-rejuvenation technique to counteract software aging in Android-based mobile devices, acting at a fine-grained level, namely on in-memory system data structures. The technique is engineered in two phases. Before releasing the (customized) Android version, a heap profiling facility is used by the manufacturer's developers to identify potentially bloating data structures in Android services and to instrument their code. After release, an aging detection and rejuvenation service will safely clean up the bloating data structures, with a negligible impact on user perception and device availability, as neither the device nor operating system's processes are restarted. The results of experiments show the ability of the technique to provide significant gains in aging mobile operating system responsiveness and time to failure.

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An Empirical Study of Software Aging Manifestations in Android

Cited by 23 publications

References 13 publications

Factors Affecting Application Launch Time with Android OS

Factors Affecting Application Launch Time with Android OS

An analysis of software aging in cloud environment

Software Micro-Rejuvenation for Android Mobile Systems

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