Abstract: A storage requirements estimating system estimates the storage required for a proposed multidimensional clustering data by modeling wasted space. The amount of wasted space is modeled by calculating the cardinality of the unique value of the clustering key for the proposed configuration. Cardinality may be determined by estimation techniques. Specific values for wasted space and total space may be determined in response to the determined cardinality. Comparison of estimates for different proposed clustering configurations facilitate a selection among proposed multidimensional clustering data configurations.

Abstract: A storage requirements estimating system estimates the storage required for a proposed multidimensional clustering data by modeling wasted space. The amount of wasted space is modeled by calculating the cardinality of the unique value of the clustering key for the proposed configuration. Cardinality may be determined by estimation techniques. Specific values for wasted space and total space may be determined in response to the determined cardinality. Comparison of estimates for different proposed clustering configurations facilitate a selection among proposed multidimensional clustering data configurations.

Abstract: A storage requirements estimating system estimates the storage required for a proposed multidimensional clustering data by modeling wasted space. The amount of wasted space is modeled by calculating the cardinality of the unique value of the clustering key for the proposed configuration. Cardinality may be determined by estimation techniques. Specific values for wasted space and total space may be determined in response to the determined cardinality. Comparison of estimates for different proposed clustering configurations facilitate a selection among proposed multidimensional clustering data configurations.

Abstract: The system implementation of a computer system which implements multiple virtual machines, and forms one station in a network including at least one other station running a program for which the one station can, on request, perform host processes using virtual machines which it implements, and which has the resources to provide a pool of preconfigured virtual machines to service such requests, includes a routine to manage conversations associated with such requests by responding to events relating to such conversations. The conversation management routine includes a main task and a sub-task spawned by the main task to preestablish an exit from the routine in the event of error. The sub-task also includes routines called selectively to handle different events relating to conversations, and is associated with an array, which contains data as to the identity and status of virtual machines in said pool of preconfigured machines, and is established and maintained by the sub-task in accordance with said events.