Patent ReferencesDistributed data processing system Method for the dynamic replication of data under distributed system control to control utilization of resources in a multiprocessing, distributed data base system Apparatus and method for compressing data signals and restoring the compressed data signals Hyperedge entity-relationship data base systems Join operation processing system in relational model Locating digital coded words which are both acceptable misspellings and acceptable inflections of digital coded query words Geographically distributed multiprocessor time-shared communication processing system Apparatus and method for synthesizing a query for accessing a relational data base System for digital transmission and synthesis of integrated data User friendly data base access InventorAssigneeApplicationNo. 06/706702 filed on 02/28/1985US Classes:707/2, Access augmentation or optimizing707/9Privileged accessExaminersPrimary: Williams, Archie E. Jr.Attorney, Agent or FirmInternational ClassG06F 17/30 (20060101)AbstractIn a Distributed Database System (DDS), database management and transaction management are extended to a distributed environment among a plurality of local sites which each have transaction server, file server, and data storage facilities. The Materialization and Access Planning (MAP) method of a distributed query, update, or transaction is an important part of the processing of the query, update, or transaction. Materialization and access planning results in a strategy for processing a query, update, or transaction in the distributed database management system (DSDBMS). Materialization consists of selecting data copies used to process the query, update, or transaction. This step is necessary since data may be stored at more than one site (i.e., computer) on the network. Access planing consists of choosing the execution order of operations and the actual execution site of each operation. Three access planning methods are used: General (Response), General (Total) and Initial Feasible Solution (IFS). For a distributed query, General (Response) and General (Total) decrease the communication cost and increase the local processing costs as compared to the IFS. | |