Distributing data processing: A methodology for developing an appropriate organizational DDP model.
Linda H. Harris · 1982
Distributed data processing possesses a wide variety of definitions. Underneath the definitions exists a basic objective moving computer resources closer to the people who use them. The means for achieving this task: is where the general controversy begins. Some analysts believe a true distibuted data processing system incorporates independently linked minicomputers each having equal authority and autonomy in a loosely controlled network;. Others advocate strict hierarchical; rules where a mainframe takes control at the helm. And many experts place their position somewhere between these two poles. All are right and none are right. The definition of DDP is as flexible as its design. The original objective, however, putting computer resources closer to the people who use them, remains universally shared. Most people knowledgable in MIS believe distributed data processing (or DDP) is a good applicable concept, the natural evolutionary step In Mis/DP technology. Yet, a far fewer number believe DDP is readily implementable. The reasons: lack of a methodical rigorous approach for determining if such a system should be installed (and/or the current system should be converted), how it should be designed, implemented and maintained, who should be responsible for which activities and the resulting cost savings and benefit realizations. This thesis Illuminates resolutions to this problem.