Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
The majority of aspect-oriented middlewares supporting dynamic aspect weaving fail to preserve important safety properties while weaving or unweaving a distributed aspect at runti...
Nico Janssens, Eddy Truyen, Frans Sanen, Wouter Jo...
With the shift to many-core chip multiprocessors (CMPs), a critical issue is how to effectively coordinate and manage the execution of applications and hardware resources to overc...
Wei Wang, Tanima Dey, Ryan W. Moore, Mahmut Aktaso...
In order for middleware systems to be adaptive, their properties and services need to support a wide variety of application-specific policies. However, application developers and ...
Computationally complex and data intensive atomic scale biomolecular simulation is enabled via Processing in Network Storage (PINS): a novel distributed system framework to overco...
Paul Brenner, Justin M. Wozniak, Douglas Thain, Aa...