On Energy, Adaptation, and the Death of Frames

Harris, Albert F., III; Snader, Robin; Kravets, Robin

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https://hdl.handle.net/2142/11213 Copy

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Title

On Energy, Adaptation, and the Death of Frames

Author(s)

• Harris, Albert F., III
• Snader, Robin
• Kravets, Robin

Issue Date

2006-06

Keyword(s)

• mobile computing
• computer science

Abstract

Increases in computing capabilities of mobile devices have led to the use of multimedia applications that have high processor and bandwidth resource requirements, each of which consume significant energy. However, battery capacities have not kept pace, driving the design of energy-aware applications. Traditionally multimedia applications have used encoding techniques to deal with bandwidth constraints, essentially trading off CPU for networking resources. However, in the context of energy constraints, it is not clear that this CPU-intensive approach is the most efficient. Making correct trade off decisions requires information about costs of both the CPU and the network. In addition to energy-savings by adaptive applications, further energy conservation can be achieved by leveraging application layer information at the network layer. Because of their ability to tolerate loss, multimedia applications present unique opportunities to the design of such energy-efficient network protocols, despite their strict timing constraints. Essentially, transport protocols can use application level information to make intelligent decisions about when to perform frame recovery, positively impacting system energy conservation. Previous adaptive systems concentrate on sharing resource information between the application and the network in only one direction and so perform sub-optimally. Therefore, it is necessary to design cooperative solutions that share resource information in both directions. To this end, we present a data-oriented energy model that exposes cross-layer interactions and enables specific optimizations in the application and network layers. We demonstrate that by passing a minimal amount of information in both directions, an adaptive application paired with our adaptive transport protocol, Reaper, can achieve significant energy savings, which we verify through a system implementation.

Type of Resource

text

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http://hdl.handle.net/2142/11213

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