Data Marketplace for Efficient Data Placement

Data values are uneven. Some data have higher (financial) values than others. Data with low value-density should be reduced in size or removed in order to make room for new data with higher values. Okanohara et al. [9] argued that the data values will determine the placement of data in the network so as to maximize the utilization of the storage capacity (and the processing power) of the entire network, and proposed an architecture called Krill. Determining data values, however, is not an easy task because the data values are speculative, meaning that the future values are usually unknown. This paper discusses an attempt to adopt the marketplace concept for determining the data values. It is expected the market efficiency guarantees the best possible value is assigned to each data item. We consider two models with different complexity and show that the overall utilization of the network is maximized.