Decentralized Probabilistic Auto-Scaling for Heterogeneous Systems
  The DEPAS (Decentralized Probabilistic Auto-Scaling) algorithm assumes an overlay network of computing nodes where each node probabilistically decides to shut down, allocate one or more other nodes or do nothing. DEPAS was formulated, tested, and theoretically analyzed for the simplified case of homogenous systems. In this paper, we extend DEPAS to heterogeneous systems. 
Bogdan Alexandru Caprarescu, Dana Petcu
cs.DC