Abstract: Decentralized Tuple Space (DTS) implements tuple
space model among a series of decentralized hosts and provides the
logical global shared tuple repository. Replication has been introduced
to promote performance problem incurred by remote tuple access. In
this paper, we propose a replication approach of DTS allowing
replication policies self-adapting. The accesses from users or other
nodes are monitored and collected to contribute the decision making.
The replication policy may be changed if the better performance is
expected. The experiments show that this approach suitably adjusts the
replication policies, which brings negligible overhead.