Abstract: Unauthorized and fraudulent use of a cloud computing system may be reduced or mitigated using a multi-threshold based method to identify fraudulent subscribers of the cloud. The multi-threshold based method may assign a fraud threshold to each resource of the cloud. The fraud thresholds of the multi-threshold based method may be adjusted based on one or more characteristics associated with one or more of the plurality of resources in the cloud. The one or more characteristics may include a capacity percentage associated with the plurality of resources, fraud distribution among the plurality of resources, cost of operation associated with the plurality of resources, anticipated or actual subscriber growth rate associated with the plurality of resources and/or anticipated or actual subscriber fraud risk associated with the plurality of resources.

Abstract: Unauthorized and fraudulent use of a cloud computing system may be reduced or mitigated using a multi-threshold based method to identify fraudulent subscribers of the cloud. The multi-threshold based method may assign a fraud threshold to each resource of the cloud. The fraud thresholds of the multi-threshold based method may be adjusted based on one or more characteristics associated with one or more of the plurality of resources in the cloud. The one or more characteristics may include a capacity percentage associated with the plurality of resources, fraud distribution among the plurality of resources, cost of operation associated with the plurality of resources, anticipated or actual subscriber growth rate associated with the plurality of resources and/or anticipated or actual subscriber fraud risk associated with the plurality of resources.

Abstract: Technologies are described herein for generating field sets of a data summary table. Multiple fields in a spreadsheet document are identified. Multiple field scores for each field of the plurality of fields are determined. A field set incorporating two or more of the plurality of fields is generated based on the plurality of field scores. The field set is inserted into the data summary table, thereby transforming the data summary table without the field set to the data summary table with the field set.

Abstract: Technologies are described herein for generating field sets of a data summary table. Multiple fields in a spreadsheet document are identified. Multiple field scores for each field of the plurality of fields are determined. A field set incorporating two or more of the plurality of fields is generated based on the plurality of field scores. The field set is inserted into the data summary table, thereby transforming the data summary table without the field set to the data summary table with the field set.

Abstract: To perform a sort operation on a spreadsheet table, data items in the spreadsheet table are divided into a plurality of blocks. Multiple threads are then used to sort the data items in the blocks. After the data items in the blocks are sorted, multiple threads are used to merge the blocks into a final block. The final block contains each of the data items in the spreadsheet table. A sorted version of the spreadsheet table is then displayed. Data items in the sorted version of the spreadsheet table have the same order as an order of data items in the final block.