Today's applications are increasingly composed out of services. 
Standardized protocols, such as SOAP, WSDL, and UDDI are used to 
discover and invoke remotely located services. Nowadays, improved 
resource capabilities of mobile devices, e.g. PDAs, smart phones, 
and sensor devices allow the execution of services even on these 
smaller computing devices. In comparison to traditional centralized
 process management, a decentralized, cooperative execution of services 
on embedded real-time systems leads to higher system scalability, 
better system response time and higher data accuracy. 
In this paper we describe an efficient way to deploy services onto 
highly distributed, mobile, and unreliable devices. To achieve an 
efficient resource tracking we utilize different group-based data 
retrieval strategies. Furthermore, we present a prototype system that 
implements our distributed service deployment algorithm and that evaluates 
our approach in terms of scalability for different network topologies.