Abstract
Abstract: In a dynamic environment, where a process can be migrated from one host to another host, communication state transfer is a key issue of process coordination. This paper presents algorithms for data communication and migration protocols to support communication state transfer in a dynamic, distributed parallel environment. These algorithms collectively preserve the semantics of the communication and are practical for large-scale distributed systems. The assumptions and validity of our solution are discussed. Based on our early results in process migration, we implement a prototype system for process state transfer. Experimental results confirm our design is valid and has a true potential in practice.