Abstract
With the advent of the internet of things (IOT), the amount of global electronic data is growing at an exponential rate, raising the demand for memories and storages. Therefore, the cost and reliability issues of storages and memories become more important than ever. To efficiently evaluate the cost and reliability of the storage nodes of an IOT system, we propose a high-level symbiotic system (SS) model, with the novel peer-repair mechanism. Experimental results show that the peer-repair mechanism can improve around 60% of the storage system’s lifetime. We also find that peer-repair is more suitable for systems with a wide variation of failure rates, which can be applied to, e.g., future IOT systems with nodes being distributed over a wide area. In exploring the possibility of cost reduction by peer-repair mechanism, experimental results show that by replacing failed nodes as well as nodes with 40% fewer spare resources, the lowest total cost can be achieved, as the replacement cost is high. In general, peer-repair can meet the same lifetime requirement with much lower cost, as compared to testing the devices and systems much more thoroughly before shipping.