In distributed real-time systems, an application is often modeled as a set of real-time transactions, where each transaction is a chain of precedence-constrained tasks. Each task ...
Negotiation is a fundamental mechanism in distributed multi-agent systems. Since negotiation is a time-spending process, in many scenarios agents have to take into account the pas...
Asynchronous IO (AIO) allows a process to continue to do other work while an IO operation initiated earlier completes. AIO allows a large number of random IO operations to be issu...
Suresh Iyengar, S. Sudarshan, Santosh Kumar 0002, ...
Abstract-- Solving complex real-world problems using evolutionary computation is a CPU time-consuming task that requires a large amount of computational resources. Peerto-Peer (P2P...
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...