Abstract: A dataset is identified as a heat-intensive dataset based, at least in part, on the dataset being related to heat generation at a source storage device exceeding a heat rise limit. The source storage device hosts the heat-intensive dataset and the heat-intensive dataset comprises non-executable data. A first cooling area of a plurality of cooling areas is selected to accommodate the heat generation based, at least in part, on cooling characteristics of a plurality of cooling appliances of the plurality of cooling areas. The source storage device is associated with a second cooling area. A target storage device associated with the first cooling area is determined. The heat-intensive dataset is moved from the source storage device to the target storage device.

Abstract: A dataset is identified as a heat-intensive dataset based, at least in part, on the dataset being related to heat generation at a source storage device exceeding a heat rise limit. The source storage device hosts the heat-intensive dataset and the heat-intensive dataset comprises non-executable data. A first cooling area of a plurality of cooling areas is selected to accommodate the heat generation based, at least in part, on cooling characteristics of a plurality of cooling appliances of the plurality of cooling areas. The source storage device is associated with a second cooling area. A target storage device associated with the first cooling area is determined. The heat-intensive dataset is moved from the source storage device to the target storage device.

Abstract: A plurality of data queries that operate on a heat-intensive dataset is determined. A plurality of access plans that correspond to the plurality of data queries is determined. An overall power consumption of the plurality of access plans is computed. It is determined that the overall power consumption exceeds a power consumption threshold. A first cooling area of a plurality of cooling areas to accommodate the heat generation based, at least in part, on cooling characteristics of a plurality of cooling appliances of the plurality of cooling areas is selected. A target storage device associated with the first cooling area is determined. The heat-intensive dataset from the source storage device is moved to the target storage device.

Abstract: Physical storage systems dissipate large amounts of heat as a result of operations performed on data stored on the physical storage systems. Existing cooling mechanisms use cooling appliances with different cooling characteristics to dissipate the heat. However, the existing cooling mechanisms do not consider the cooling characteristics of the cooling appliances when moving/storing data, resulting in an inefficient use of the cooling appliances and a waste of power. Functionality can be implemented to identify datasets that cause generation of large amounts of heat in the associated physical storage system(s). These heat-intensive datasets can be moved to cooler physical storage system(s) that are identified based, at least in part, on cooling characteristics of the cooling appliances and a proximity of the physical storage system(s) to the cooling appliances. This can ensure that the cooling appliances with the best cooling characteristics are used to cool the most heat intensive datasets.