A variegated look at 5G in the wild: performance, power, and QoE implications

A Narayanan, X Zhang, R Zhu, A Hassan… - Proceedings of the …, 2021 - dl.acm.org
Motivated by the rapid deployment of 5G, we carry out an in-depth measurement study of the
performance, power consumption, and application quality-of-experience (QoE) of …

Google workloads for consumer devices: Mitigating data movement bottlenecks

A Boroumand, S Ghose, Y Kim… - Proceedings of the …, 2018 - dl.acm.org
We are experiencing an explosive growth in the number of consumer devices, including
smartphones, tablets, web-based computers such as Chromebooks, and wearable devices …

Characterizing smartwatch usage in the wild

X Liu, T Chen, F Qian, Z Guo, FX Lin, X Wang… - Proceedings of the 15th …, 2017 - dl.acm.org
Smartwatch has become one of the most popular wearable computers on the market. We
conduct an IRB-approved measurement study involving 27 Android smartwatch users. Using …

Understanding on-device bufferbloat for cellular upload

Y Guo, F Qian, QA Chen, ZM Mao, S Sen - Proceedings of the 2016 …, 2016 - dl.acm.org
Despite the extensive characterization of the growth of cellular network traffic, we observe
two important trends not yet thoroughly investigated. First, fueled by the LTE technology and …

Who should we blame for Android app crashes? An in-depth study at scale and practical resolutions

L Gong, H Lin, D Liu, L Yang, H Wang, J Qiu… - ACM Transactions on …, 2024 - dl.acm.org
Android system has been widely deployed in energy-constrained IoT devices for many
practical applications, such as smart phone, smart home, healthcare, fitness, and beacons …

Enforcing green code with Android lint

OL Goaër - Proceedings of the 35th IEEE/ACM International …, 2020 - dl.acm.org
Nowadays, energy efficiency is recognized as a core quality attribute of applications (apps)
running on Android-powered devices constrained by their battery. Indeed, energy hogging …

Context-aware application scheduling in mobile systems: What will users do and not do next?

J Lee, K Lee, E Jeong, J Jo, NB Shroff - Proceedings of the 2016 ACM …, 2016 - dl.acm.org
Usage patterns of mobile devices depend on a variety of factors such as time, location, and
previous actions. Hence, context-awareness can be the key to make mobile systems to …

Predicting smartphone battery life based on comprehensive and real-time usage data

H Li, X Liu, Q Mei - arxiv preprint arxiv:1801.04069, 2018 - arxiv.org
Smartphones and smartphone apps have undergone an explosive growth in the past
decade. However, smartphone battery technology hasn't been able to keep pace with the …

Practical Mechanisms for Reducing Processor–Memory Data Movement in Modern Workloads

A Boroumand - 2020 - search.proquest.com
Data movement between the memory system and computation units is one of the most
critical challenges in designing high performance and energy-efficient computing systems …

Cloning-based virtual machine pre-provisioning for resource-constrained edge cloud server

J Sung, S Han, J Kim - Cluster Computing, 2024 - Springer
As the application complexity increases, it is desired to offload the computationally intensive
tasks from the end devices to the cloud. In the cloud, virtual machines (VM) conduct the …