Commit d08ea85a93b2e55f417820c70281d2390e03caf1
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a78b622f
Fix paragraph break, add abstract.
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abstract.tex
| 1 | 1 | \begin{abstract} |
| 2 | 2 | |
| 3 | -Write an abstract here. | |
| 3 | +Current operating systems are already proficient at managing certain system | |
| 4 | +resources, such as the CPU, memory, and disk. But on interactive mobile devices, | |
| 5 | +users care more about resources such as time, battery life, and money, that are | |
| 6 | +unmanaged or poorly managed by today's smartphone platforms. It is the degree | |
| 7 | +to which mobile devices effectively manage these human-facing resources that | |
| 8 | +determines a user's \textit{quality of experience} (QoE), and it is QoE which | |
| 9 | +should drive not just policy, but decisions on mobile devices. To meet | |
| 10 | +smartphone users' expectations, it is necessary to design systems that can | |
| 11 | +accurately measure and understand QoE, and make decisions based on QoE. | |
| 4 | 12 | |
| 5 | 13 | \end{abstract} | ... | ... |
introduction.tex
| ... | ... | @@ -37,6 +37,7 @@ frequency, such as for time-insensitive background tasks or when the performance |
| 37 | 37 | increase would not be perceivable, negative QoE may manifest itself through |
| 38 | 38 | poor battery life. |
| 39 | 39 | |
| 40 | +\newpage | |
| 40 | 41 | In terms of QoE, static policies can lead to resource allocation decisions that |
| 41 | 42 | are less than optimal. To remedy this, we propose designing QoE-centric |
| 42 | 43 | mobile operating systems that use QoE as input to drive resource allocation | ... | ... |