Huge energy consumption has become a critical bottleneck for further applying large-scale cluster systems to build new data centers. Among various components of a data center, sto...
Ziliang Zong, Matt Briggs, Nick O'Connor, Xiao Qin
We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...
Gang Scheduling and related techniques are widely believed to be necessary for efficientjob scheduling on distributed memory parallel computers. This is hecause they minimize cont...
Agent-oriented software is promising improvements especially for the design of distributed systems. But currently, there is a substantial gap between the massive number of publica...
Distributed software environments are increasingly complex and difficult to manage, as they integrate various legacy software with proprietary management interfaces. Moreover, th...
Sara Bouchenak, Noel De Palma, Daniel Hagimont, Ch...