Stochastic optimization for Conserving Energy in Smart Phone Applications - A Survey
M.Ramu, Indurani
Mobile cloud computing, energy efficiency, transmission management, Interface Selection, Smartphone, Lyapunov Optimization
Many mobile applications require frequent wireless transmissions between the content provider and mobile devices, consuming much energy in mobile devices. Motivated by the popularity of prefetch-friendly or delay-tolerant apps (e.g., social networking, app updates, cloud storage), are enabled by the ability to capture videos on a smartphone and to have these videos uploaded to an Internet connected server. Smartphones have multiple wireless interfaces – 3G/EDGE and WiFi – for data transfer, but there is considerable variability in the availability and achievable data transfer rate for these networks. Moreover, the energy costs for transmitting a given amount of data on these wireless interfaces can differ by an order of magnitude. On the other hand, many of these applications are often naturally delay-tolerant, so that it is possible to delay data transfers until a lower-energy WiFi connection becomes available. In this paper, we used the optimal online algorithm for this energy-delay tradeoff using the Lyapunov optimization framework algorithm, called SALSA, can automatically adapt to channel conditions and requires only local information to decide whether and when to defer a transmission. The SALSA can be tuned to achieve a broad spectrum of energy-delay tradeoffs, is closer to an empirically-determined optimal than any of the alternatives we compare it to, and, can save 10-40% of battery capacity for some workloads.
Article Details
Unique Paper ID: 143308

Publication Volume & Issue: Volume 2, Issue 10

Page(s): 29 - 34
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