Publish/subscribe systems provide a useful paradigm for selective data dissemination and most of the complexity related to addressing and routing is encapsulated within the network...
Many middleware platforms use computational reflection to support adaptive functionality. Most approaches intertwine the activity of observing behavior (introspection) with the a...
Eric P. Kasten, Philip K. McKinley, Seyed Masoud S...
Current systems for managing workload on clusters of workstations, particularly those available for Linuxbased (Beowulf) clusters, are typically based on traditional process-based...
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
The dominant eigenvector of matrices defined by weighted links in overlay networks plays an important role in many peer-to-peer applications. Examples include trust management, im...