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Using tape or optical devices for scale-out storage is one option for storinga vast amount of data. However, it is impossible or almost impossible torewrite data with such devices. Thus, scale-out storage using such devicescannot use standard data-distribution algorithms because they rewrite data formoving between servers constituting the scale-out storage when the serverconfiguration is changed. Although using rewritable devices for scale-outstorage, when server capacity is huge, rewriting data is very hard when serverconstitution is changed. In this paper, a data-distribution algorithm calledSequential Checking is proposed, which can be used for scale-out storagecomposed of devices that are hardly able to rewrite data. Sequential Checking1) does not need to move data between servers when the server configuration ischanged, 2) distribute data, the amount of which depends on the server'svolume, 3) select a unique server when datum is written, and 4) select serverswhen datum is read (there are few such server(s) in most cases) and find out aunique server that stores the newest datum from them. These basiccharacteristics were confirmed through proofs and simulations. Data can be readby accessing 1.98 servers on average from a storage comprising 256 serversunder a realistic condition. And it is confirmed by evaluations in realenvironment that access time is acceptable. Sequential Checking makes selectingscale-out storage using tape or optical devices or using huge capacity serversrealistic.

Sequential Checking: Reallocation-Free Data-Distribution Algorithm for Scale-out Storage