—The scale, heterogeneity and dynamism of Grid applications and environments require Grid applications to be self-managing or autonomic. This paper presents the Accord autonomic ...
Hua Liu, Viraj Bhat, Manish Parashar, Scott Klasky
Grid data management is a challenging task because of the heterogeneous, dynamic and largescale nature of Grid environments. This paper proposes an autonomic Grid data management ...
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Nowadays, the use of machine learning methods for visual object detection has become widespread. Those methods are robust. They require an important processing power and a high mem...