An increasing number of mission-critical, embedded, telecommunications, and financial distributed systems are being developed using distributed object computing middleware, such a...
Balachandran Natarajan, Aniruddha S. Gokhale, Shal...
Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
Chongjie Zhang, Victor R. Lesser, Sherief Abdallah
In this paper we study in-network query processing in disconnected mobile environments, where both ad-hoc communication and infrastructure communication are available. Depending o...
Systems software for clusters typically derives from a multiplicity of sources: the kernel itself, software associated with a particular distribution, site-specific purchased or o...
Ewing L. Lusk, Narayan Desai, Rick Bradshaw, Andre...
The use of rules in a distributed environment creates new challenges for the development of active rule execution models. In particular, since a single event can trigger multiple ...
Ying Jin, Susan Darling Urban, Suzanne W. Dietrich