By harnessing computational power of distributed heterogeneous resources, it is possible to build a large scale integrated system so that a centralized program is partitioned and distributed to those resources in a way that results in both efficient execution of the program and maximized resource utilization. However, building such a system is a staggering challenge because of the associated complexities and required user intervention. This paper proposes an autonomic distributed architecture that statically analyzes the existing Java application, partitions it to self-managed components that handles the complexities related to distribution and coordination without user involvement. An efficient static analysis mechanism is implemented that identifies run time program instances and their dependencies in terms of a graph. It is observed that such a view of the program is essential towards self optimization and self management.