Integrating parallel functions into the manipulation for distributed persistent objects

Integrating parallel functions into the manipulation of persistent objects on a network-based shared memory architecture is a proposal under consideration. The cost associated with manipulating a large amount of distributed persistent objects is expected to improve from sequential to parallel processing. However, it is a complex task to combine persistence with the capability of parallel and distributed processing. We put forward the design and implementation methods concerning this. Based on a C++ based language called INADA, in which functions for handling persistent objects are introduced, we present a language construct for accessing distributed persistent objects in parallel, and a new approach for supporting transparent parallel and distributed processing. The transparency assures that distributed persistent objects are manipulated in parallel on multiple threads of remote computers as if they were manipulated in a local multiprocessor machine. A key point of this proposal is that we have made a combination of persistence, multithread primitives, network-based shared-memory, and the agent-oriented paradigm