The increased complexity of today's distributed, composite, Web-based systems presents difficult and unique systems management problems. The way these systems interact, and th...
Jeffery Li, Patrick Martin, Wendy Powley, Kirk Wil...
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
Efficient and robust metacomputing requires the decomposition of complex jobs into tasks that must be scheduled on distributed processing nodes. There are various ways of creating...
Abstract. The promise of agent-based systems is leading towards the development of autonomous, heterogeneous agents, designed by a variety of research/industrial groups and distrib...
David V. Pynadath, Milind Tambe, Nicolas Chauvat, ...
Grid computing is becoming more and more attractive to provide a convenient uniform platform for coordinating highly distributed and heterogeneous resources and services. GridPPI ...