Multimedia Computing, Communications, and Applications (TOMM)


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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) - Special Section on Multimedia Big Data: Networking and Special Section on Best Papers From ACM MMSYS/NOSSDAV 2015, Volume 12 Issue 5s, December 2016

Section: Special Section on Multimedia Big Data: Networking

Introduction to Special Issue on Multimedia Big Data: Networking
Mianxiong Dong, Vincenzo Piuri, Shueng-Han Gary Chan, Ramesh Jain
Article No.: 70
DOI: 10.1145/2989214

Toward Delay-Efficient Game-Aware Data Centers for Cloud Gaming
Maryam Amiri, Hussein Al Osman, Shervin Shirmohammadi, Maha Abdallah
Article No.: 71
DOI: 10.1145/2983639

Gaming on demand is an emerging service that has recently started to garner prominence in the gaming industry. Cloud-based video games provide affordable, flexible, and high-performance solutions for end-users with constrained computing resources...

Video Management and Resource Allocation for a Large-Scale VoD Cloud
Zhangyu Chang, S.-H. Gary Chan
Article No.: 72
DOI: 10.1145/2983638

We consider providing large-scale Netflix-like video-on-demand (VoD) service on a cloud platform, where cloud proxy servers are placed close to user pools. Videos may have heterogeneous popularity at different geo-locations. A repository provides...

A Deployment Optimization Scheme Over Multimedia Big Data for Large-Scale Media Streaming Application
Taotao Wu, Wanchun Dou, Fan Wu, Shaojie Tang, Chunhua Hu, Jinjun Chen
Article No.: 73
DOI: 10.1145/2983642

With the prosperity of media streaming applications over the Internet in the past decades, multimedia data has sharply increased (categorized as multimedia big data), which exerts more pressure on the infrastructure, such as networking of the...

A Tensor-Based Framework for Software-Defined Cloud Data Center
Liwei Kuang, Laurence T. Yang, Seungmin (Charlie) Rho, Zheng Yan, Kai Qiu
Article No.: 74
DOI: 10.1145/2983640

Multimedia has been exponentially increasing as the biggest big data, which consist of video clips, images, and audio files. Processing and analyzing them on a cloud data center have become a preferred solution that can utilize the large pool of...

Device-to-Device Communication for Mobile Multimedia in Emerging 5G Networks
Jiajia Liu, Nei Kato, Hirotaka Ujikawa, Kenichi Suzuki
Article No.: 75
DOI: 10.1145/2983641

Device-to-device (D2D) communication, which utilizes mobile devices located within close proximity for direct connection and data exchange, holds great promise for improving energy and spectrum efficiency of mobile multimedia in 5G networks. It...

Real-Time Load Reduction in Multimedia Big Data for Mobile Internet
Kun Wang, Jun Mi, Chenhan Xu, Qingquan Zhu, Lei Shu, Der-Jiunn Deng
Article No.: 76
DOI: 10.1145/2990473

In the age of multimedia big data, the popularity of mobile devices has been in an unprecedented growth, the speed of data increasing is faster than ever before, and Internet traffic is rapidly increasing, not only in volume but also in...

Performance Modelling and Analysis of Software-Defined Networking under Bursty Multimedia Traffic
Wang Miao, Geyong Min, Yulei Wu, Haozhe Wang, Jia Hu
Article No.: 77
DOI: 10.1145/2983637

Software-Defined Networking (SDN) is an emerging architecture for the next-generation Internet, providing unprecedented network programmability to handle the explosive growth of big data driven by the popularisation of smart mobile devices and the...

Section: Special Section on Multimedia Big Data: Networking

Introduction to Special Issue MMSys/NOSSDAV 2015
Feng Liu, Wu-chi Feng, Michael Zink
Article No.: 78
DOI: 10.1145/3003439

Toward an Adaptive Screencast Platform: Measurement and Optimization
Chih-Fan Hsu, Ching-Ling Fan, Tsung-Han Tsai, Chun-Ying Huang, Cheng-Hsin Hsu, Kuan-Ta Chen
Article No.: 79
DOI: 10.1145/2886778

The binding between computing devices and displays is becoming dynamic and adaptive, and screencast technologies enable such binding over wireless networks. In this article, we design and conduct the first detailed measurement study on the...

Design, Implementation, and Measurement of a Crowdsourcing-Based Content Distribution Platform
Yipeng Zhou, Liang Chen, Mi Jing, Shenglong Zou, Richard Tianbai Ma
Article No.: 80
DOI: 10.1145/2978655

Content distribution, especially the distribution of video content, unavoidably consumes bandwidth resources heavily. Internet content providers invest heavily in purchasing content distribution network (CDN) services. By deploying tens of...

Mobile Video Streaming over Dynamic Single-Frequency Networks
Saleh Almowuena, Mohamed Hefeeda
Article No.: 81
DOI: 10.1145/2983635

The demand for multimedia streaming over mobile networks has been steadily increasing over the past several years. For instance, it has become common for mobile users to stream full TV episodes, sports events, and movies while on the go....

A Content-Aware Video Adaptation Service to Support Mobile Video
Stefan Wilk, Denny Stohr, Wolfgang Effelsberg
Article No.: 82
DOI: 10.1145/2983636

Adaptive video streaming systems rely on the availability of different quality versions of a video. Such a system can dynamically adjust the quality of a video stream during its playback depending on the available network throughput. Even if the...

Congestion-Aware MAC Layer Adaptation to Improve Video Telephony over Wi-Fi
Wei Chen, Liangping Ma, Chien-Chung Shen
Article No.: 83
DOI: 10.1145/2983634

In wireless networks such as those based on IEEE 802.11, packet losses due to fading and interference are often misinterpreted as indications of congestion by the congestion control protocol at higher layers, causing an unnecessary decrease in the...

Content-Adaptive Display Power Saving for Internet Video Applications on Mobile Devices
Yao Liu, Mengbai Xiao, Ming Zhang, Xin Li, Mian Dong, Zhan Ma, Zhenhua Li, Lei Guo, Songqing Chen
Article No.: 84
DOI: 10.1145/2996461

Backlight scaling is a technique proposed to reduce the display panel power consumption by strategically dimming the backlight. However, for mobile video applications, a computationally intensive luminance compensation step must be performed in...