Department of Computer Science, HKUST
Caching and prefetching are common techniques in mobile broadcast environments. Several prefetching policies have been proposed in the literature to either achieve the minimum access latency or save power as much as possible. However, little work has been carried out to adaptively balance these two metrics in a dynamic environment where the user request arrival patterns change over time. We investigate how both low latency and low power consumption can be achieved for dynamic request patterns. Two adaptive power-aware schemes, PT with secure region (PTSR) and adaptive prefetching with sliding caches (APSC), are proposed. Experimental results show the proposed policies, in particular APSC, achieve a much lower power consumption while maintaining a similar access latency as the existing policies.
The presentation is organized as follows: mobile broadcasting schemes will be first introduced and existing prefetching policies are then briefly described. By pointing out their weakness on handling dynamic request patterns, we propose our two algorithms accordingly and show their effectiveness via experimental simulation.