A Survey on Content Adaptation Systems towards Energy Consumption Awareness

Abstract

The availability of heterogeneous devices has rapidly changed the way people access the World Wide Web that includes rich content applications such as video streaming, 3D games, video conferencing, and mobile TV. However, most of these devices' (i.e., mobile phone, PDA, smartphone, and tablet) capabilities differ in terms of built-in software and library (what they can display), display size (how the content appears), and battery supply (how long the content can be displayed). In order for the digital contents to fit the target device, content adaptation is required. There have been many projects focused on energy-aware-based content adaptation that have been designed with different goals and approaches. This paper reviews some of the representative content adaptation solutions that have been proposed during the last few years, in relation to energy consumption focusing on wireless multimedia streaming in mobile devices. Also, this paper categorizes the research work according to different classifications of multimedia content adaptation requirements. In addition, we discuss some energy-related challenges content adaptation systems.

Power Profiling of Context Aware Systems: A Contemporary Analysis and Framework for Power Conservation

“…They surveyed the existing energy efficient approaches in context aware activity recognition for healthcare applications. Ismail et al [16] presented a survey of multimedia content adaptation techniques with respect to power consumption. The amount of power utilized in a multimedia content view is high, which can be adjusted based on the device's battery power.…”

“…Focused Techniques [8] Device power optimization Handheld mobile devices Software based energy efficiency [9] Enhancing energy efficient Mobile and cloud computing based devices Energy aware offloading techniques [10] Minimizing energy consumption Mobile cloud computing Effective task scheduling method [11] Cloud power optimization Cloud applications Energy consumption models [12] Power conservation Embedded systems Power management techniques [13] Energy efficiency Mobile devices Energy-aware profilers [14] Power consumption Context aware applications Energy profiler for sensor configuration [15] Energy efficiency Wearable sensors/healthcare application Approaches for context aware activity recognition [16] Power consumption Multimedia Content adaptation techniques [17] Energy profiling Software and hardware level DBMS [18] Power consumption and optimization P2P/Network communication File distribution and content streaming [19] Power efficiency Networks/mobile devices Power consumption in network communication [20] Energy XML. This history information can be purged to reduce the size as well as to identify the user preferences [35].…”

Joint Optimized CPU and Networking Control Scheme for Improved Energy Efficiency in Video Streaming on Mobile Devices

“…( ( ) > 0) , (1) GET input parameters of the energy consumption model (2) COMPUTE optimal candidate solution set ( ,1 ( ) * , ,1 ( ) * ) for Case 1 (3) COMPUTE optimal candidate solution set ( ,2 ( ) * , ,2 ( ) * ) for Case 2 (4) COMPARE values of the objective function at two candidate solution sets…”

“…Due to rapid advances in wireless networks and data processing on mobile devices, a continuously growing number of users are accessing high quality video streaming services from mobile devices [1,2]. According to [2], video streaming services over wireless networks will generate three-quarters of the mobile data traffic and increase ten times between 2014 and 2019.…”

Energy-Aware Streaming Multimedia Adaptation

“…They identify several challenges in designing energy efficient mobile multimedia communication. Ismail et al in [8] classifies energy aware content adaptation systems based on the mechanisms used, strategies adopted, location of adaptation mechanism, purpose of user, context and the technique used. These systems modify visual presentation of multimedia content in order to fit it to mobile devices and minimize energy consumption.…”