An energy-conserved on-demand data broadcasting system
Jiun‐Long Huang, Wen-Chih Peng · 2005
We propose in this paper an energy-conserved on-demand data broadcasting system by employing the data indexing technique. We also propose algorithm AIDOA to adjust the degree of buckets according to system workload. Ex-perimental results show that algorithm AIDOA is able to greatly reduce power consumption at the cost of slight in-crement in average access time and adjust the index and data organization dynamically to adapt to change of system workload.