This paper describes a framework for achieving node-level fault tolerance (NLFT) in distributed realtime systems. The objective of NLFT is to mask errors at the node level in orde...
Muhiagent systems (MAS) can "go down" for a large number of reasons, ranging from system malfunctions and power failures to malicious attacks. The placement of agents on...
This paper explores the problem of dynamically scheduling large scale applications over wide area networks and then proposes an adaptive scheduling algorithm to provide quality of...
Consensus is one of the most fundamental problems in fault-tolerant distributed computing. This paper proposes a mechanical method for analyzing the condition that allows one to s...
We extend the problem of association rule mining – a key data mining problem – to systems in which the database is partitioned among a very large number of computers that are ...