Abstract:
We consider heterogeneous distributed storage systems (DSSs) having flexible reconstruction degree, where each node in the system has nonuniform repair bandwidth and nonuniform storage capacity. In particular, a data collector can reconstruct the file using some $k$ nodes in the system and, for a node failure, the system can be repaired by some set of active nodes. Using min-cut bound, we investigate the fundamental trade-off between storage and repair costs for our model of the heterogeneous DSS. Further, the problem is formulated as bi-objective optimization linear programing problem for various heterogeneous DSSs. For some DSSs, it is shown that the calculated min-cut bound is tight.
Keywords:cloud storage, codes for distributed storage, heterogeneous distributed storage system, information flow, trade-off between storage cost and repair cost.