Title :
Asymptotic analysis of failed recovery probability in a distributed wireless storage system with limited sum storage capacity
Author :
Bi Hong ; Wan Choi
Author_Institution :
Korea Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
Abstract :
In distributed wireless storage systems, failed recovery probability depends on not only wireless channel conditions but also storage size of each distributed storage node. For efficient utilization of limited storage capacity, we asymptotically analyze the failed recovery probability of a distributed wireless storage system with a sum storage capacity constraint when signal-to-noise ratio goes to infinity, and find the optimal storage allocation strategy across distributed storage nodes in terms of the asymptotic failed recovery probability. It is also shown that when the number of storage nodes is sufficiently large the storage size required at each node is not so large for high exponential order of the failed recovery probability.
Keywords :
distributed memory systems; probability; storage allocation; storage management; system recovery; wireless channels; wireless sensor networks; asymptotic analysis; asymptotic failed recovery probability; distributed storage node; distributed wireless storage systems; exponential order; failed recovery probability; limited sum storage capacity constraint; optimal storage allocation strategy; signal-to-noise ratio; storage nodes; storage size; wireless channel conditions; Approximation methods; Capacity planning; Decoding; Distributed databases; Resource management; Signal to noise ratio; Wireless communication; Distributed storage system; failed recovery; maximum distance separable coding; wireless storage;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854848
