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This paper proposes a novel energy-efficient multimedia delivery system called EStreamer. First, we study the relationship between buffer size at the client, burst-shaped TCP-based multimedia traffic, and energy consumption of wireless…

Multimedia · Computer Science 2014-03-18 Mohammad Ashraful Hoque , Matti Siekkinen , Jukka K. Nurminen , Sasu Tarkoma , Mika Aalto

GB-scale large apps like on-device LLMs and rich media editors are becoming the next-generation trend, but their heavy memory and I/O demands, especially during multitasking, cause devices to reclaim or kill processes, turning warm apps…

Operating Systems · Computer Science 2026-03-19 Xiaochen Li , Sicong Liu , Bin Guo , Yu Ouyang , Fengmin Wu , Yuan Xu , Zhiwen Yu

With the popularity of smartphones, users are heavily dependent on mobile applications for daily work and entertainments. However, mobile apps are becoming more and more complicated with more features and increasing size, part of which may…

Computers and Society · Computer Science 2018-02-16 Yi Liu

We propose nnstreamer, a software system that handles neural networks as filters of stream pipelines, applying the stream processing paradigm to neural network applications. A new trend with the wide-spread of deep neural network…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-16 MyungJoo Ham , Ji Joong Moon , Geunsik Lim , Wook Song , Jaeyun Jung , Hyoungjoo Ahn , Sangjung Woo , Youngchul Cho , Jinhyuck Park , Sewon Oh , Hong-Seok Kim

Managing the limited energy on mobile platforms executing long-running, resource intensive streaming applications requires adapting an application's operators in response to their power consumption. For example, the frame refresh rate may…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-16 Dipayan Mukherjee , Atul Sandur , Kirill Mechitov , Pratik Lahiri , Gul Agha

Mobile gaming has emerged as a promising market with billion-dollar revenues. A variety of mobile game platforms and services have been developed around the world. One critical challenge for these platforms and services is to understand…

Machine Learning · Computer Science 2018-10-12 Xi Liu , Muhe Xie , Xidao Wen , Rui Chen , Yong Ge , Nick Duffield , Na Wang

We propose NNStreamer, a software system that handles neural networks as filters of stream pipelines, applying the stream processing paradigm to deep neural network applications. A new trend with the wide-spread of deep neural network…

Mobile Edge Caching is a promising technique to enhance the content delivery quality and reduce the backhaul link congestion, by storing popular content at the network edge or mobile devices (e.g. base stations and smartphones) that are…

Computer Science and Game Theory · Computer Science 2021-09-15 Mingyu Li , Changkun Jiang , Lin Gao , Tong Wang , Yufei Jiang

As mobile devices become more and more popular, mobile gaming has emerged as a promising market with billion-dollar revenues. A variety of mobile game platforms and services have been developed around the world. A critical challenge for…

Machine Learning · Computer Science 2019-01-21 Xi Liu , Muhe Xie , Xidao Wen , Rui Chen , Yong Ge , Nick Duffield , Na Wang

With the growing integration of smartphones into our daily lives, and their increased ease of use, mobile games have become highly popular across all demographics. People listen to music, play games or read the news while in transit or…

Artificial Intelligence · Computer Science 2018-03-06 Swen E. Gaudl , Mark J. Nelson , Simon Colton , Rob Saunders , Edward J. Powley , Peter Ivey , Blanca Perez Ferrer , Michael Cook

Distributed Stream Processing frameworks are being commonly used with the evolution of Internet of Things(IoT). These frameworks are designed to adapt to the dynamic input message rate by scaling in/out.Apache Storm, originally developed by…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-10 Anshu Shukla , Yogesh Simmhan

Given a stream of entries over time in a multi-dimensional data setting where concept drift is present, how can we detect anomalous activities? Most of the existing unsupervised anomaly detection approaches seek to detect anomalous events…

Machine Learning · Computer Science 2022-03-07 Siddharth Bhatia , Arjit Jain , Shivin Srivastava , Kenji Kawaguchi , Bryan Hooi

We want to make web archiving entertaining so that it can be enjoyed like a spectator sport. To this end, we have been working on a proof of concept that involves gamification of the web archiving process and integrating video games and web…

Digital Libraries · Computer Science 2022-11-07 Travis Reid , Michael L. Nelson , Michele C. Weigle

Android apps have become a valuable target for app modifiers and imitators due to its popularity and being trusted with highly sensitive data. Packers, on the other hand, protect apps from tampering with various anti-analysis techniques…

Cryptography and Security · Computer Science 2025-09-23 Mohammad Hossein Asghari , Lianying Zhao

The ubiquity of camera-embedded devices and the advances in deep learning have stimulated various intelligent mobile video applications. These applications often demand on-device processing of video streams to deliver real-time,…

Computer Vision and Pattern Recognition · Computer Science 2022-12-01 Sicong Liu , Xiaochen Li , Zimu Zhou , Bin Guo , Meng Zhang , Haochen Shen , Zhiwen Yu

Stream processing applications have been widely adopted due to real-time data analytics demands, e.g., fraud detection, video analytics, IoT applications. Unfortunately, prototyping and testing these applications is still a cumbersome…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-04 Md. Monzurul Amin Ifath , Miguel Neves , Israat Haque

With the increasing number of mobile Apps developed, they are now closely integrated into daily life. In this paper, we develop a framework to predict mobile Apps that are most likely to be used regarding the current device status of a…

Machine Learning · Computer Science 2013-10-01 Zhung-Xun Liao , Shou-Chung Li , Wen-Chih Peng , Philip S Yu

The increasing prevalence of mobile apps has led to a proliferation of resource usage scenarios in which they are deployed. This motivates the need to specialize mobile apps based on diverse and varying preferences of users. We propose a…

Software Engineering · Computer Science 2019-02-27 Brian Heath , Neelay Velingker , Osbert Bastani , Mayur Naik

With the surge in mobile gaming, accurately predicting user spending on newly downloaded games has become paramount for maximizing revenue. However, the inherently unpredictable nature of user behavior poses significant challenges in this…

Information Retrieval · Computer Science 2024-04-15 Peijie Sun , Yifan Wang , Min Zhang , Chuhan Wu , Yan Fang , Hong Zhu , Yuan Fang , Meng Wang

Network latency in mobile software has a large impact on user experience, with potentially severe economic consequences. Prefetching and caching have been shown effective in reducing the latencies in browser-based systems. However, those…

Software Engineering · Computer Science 2018-10-23 Yixue Zhao , Paul Wat , Marcelo Schmitt Laser , Nenad Medvidovic
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