Detecting energy leaks in Android app with POEM

Ferrari, Alan; Gallucci, Dario; Puccinelli, Daniele; Giordano, Silvia

doi:10.1109/percomw.2015.7134075

Cited by 13 publications

(6 citation statements)

References 11 publications

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“…Ferrari et al [296] presented portable open-source energy monitor (POEM) to help developers automatically test and measure the energy consumption of single application component by using offline code analysis tool and code injection techniques to get measurements with numerous levels of granularity, extending to the call graph, basic blocks, API calls. POEM converts the code into control flow graphs of the application and tries to figure out the power leakage portions on the go.…”

Section: ) Detecting Energy Leaks In Android App With Poemmentioning

confidence: 99%

Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-Art Review of Smartphone Battery and Energy Usage

et al. 2019

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The advancement and popularity of smartphones have made it an essential and all-purpose device. But lack of advancement in battery technology has held back its optimum potential. Therefore, considering its scarcity, optimal use and efficient management of energy are crucial in a smartphone. For that, a fair understanding of a smartphone's energy consumption factors is necessary for both users and device manufacturers, along with other stakeholders in the smartphone ecosystem. It is important to assess how much of the device's energy is consumed by which components and under what circumstances. This paper provides a generalized, but detailed analysis of the power consumption causes (internal and external) of a smartphone and also offers suggestive measures to minimize the consumption for each factor. The main contribution of this paper is four comprehensive literature reviews on: 1) smartphone's power consumption assessment and estimation (including power consumption analysis and modelling); 2) power consumption management for smartphones (including energy-saving methods and techniques); 3) state-of-the-art of the research and commercial developments of smartphone batteries (including alternative power sources); and 4) mitigating the hazardous issues of smartphones' batteries (with a details explanation of the issues). The research works are further subcategorized based on different research and solution approaches. A good number of recent empirical research works are considered for this comprehensive review, and each of them is succinctly analysed and discussed.

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Section: ) Detecting Energy Leaks In Android App With Poemmentioning

confidence: 99%

Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-Art Review of Smartphone Battery and Energy Usage

et al. 2019

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“…VIVO architecture is displayed in Fig. 1 [36] to measure the energy overhead of the application and an extension of the Mockingbird platform [37] to monitor the information leakage. Mockingbird performs an on-device evaluation to retrieve the information accessible from the experiment application, e.g., when and how many times it access the file systems, the sensors, the contacts, etc.…”

Section: Architectural Overviewmentioning

confidence: 99%

VIVO: A secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things

Luceri

Cardoso

Papandrea

et al. 2018

Pervasive and Mobile Computing

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Smartphones are a key enabling technology in the Internet of Things (IoT) for gathering crowd-sensed data. However, collecting crowd-sensed data for research is not simple. Issues related to device heterogeneity, security, and privacy have prevented the rise of crowd-sensing platforms for scientific data collection. For this reason, we implemented VIVO, an open framework for gathering crowdsensed Big Data for IoT services, where security and privacy are managed within the framework. VIVO introduces the enrolled crowd-sensing model, which allows the deployment of multiple simultaneous experiments on the mobile phones of volunteers. The collected data can be accessed both at the end of the experiment, as in traditional testbeds, as well as in real-time, as required by many Big Data applications. We present here the VIVO architecture, highlighting its advantages over existing solutions, and four relevant real-world applications running on top of VIVO.

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“…A significant challenged faced by any crowdsensing app design is how to minimize energy consumption. It is possible to measure the app's energy profile using specific monitoring hardware and software [9]. Using such a profiling platform, we have found that for MACACO-app the highest energy consumer tasks are GPS localization [∼6Wh], followed by Bluetooth, accelerometer, and Wi-Fi scanning [∼0.4Wh each].…”

Section: Energy Efficiencymentioning

confidence: 99%

PCach: The Case for Pre-Caching your Mobile Data

Jakllari

2018

2018 IEEE 43rd Conference on Local Computer Networks (LCN)

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We present PCach, a smartphone-based approach for relieving the congestion in cellular network resulting from the exponential growth in mobile data traffic. The basic idea underlying PCach is simple: use WiFi to proactively cache content on the smartphone's memory, which otherwise would have been delivered through the cellular network. However, it leads to several challenging questions, including how much mobile data actually flows through cellular networks, how much data can be pre-cached, and when and what to pre-cache. We address these questions progressively using a thorough analysis of user data collected from our purpose-built crowdsensing Android application, actively utilized by 45 users for periods dating back to July 2014. Our analysis shows that the median smartphone user transfers 15% of their data via the cellular network and that 80% of it can be pre-cached via WiFi. To capitalize on these results, we draw on a careful analysis of the measurement data to introduce an algorithm that can run stand-alone on off-the-shelf smartphones and predict with good accuracy when and what to pre-cache.

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Detecting energy leaks in Android app with POEM

Cited by 13 publications

References 11 publications

Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-Art Review of Smartphone Battery and Energy Usage

Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-Art Review of Smartphone Battery and Energy Usage

VIVO: A secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things

PCach: The Case for Pre-Caching your Mobile Data

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