Data collection and restoration for heterogeneous process migration

摘要

This study presents a practical solution for data collection and restoration to migrate a process written in high-level stack-based languages such as C and Fortran over a network of heterogeneous computers. We first introduce a logical data model, namely the Memory Space Representation (MSR) model, to recognize complex data structures in process address space. Then, novel methods are developed to incorporate the MSR model into a process, and to collect and restore data efficiently. We have implemented prototype software and performed experiments on different programs.