In this paper, a novel approximate link-state dissemination framework, called TROP, is proposed for shared backup path protection (SBPP) in Multi-Protocol Label Switching (MPLS) ne...
As a metabolic network reaches from a state to a steady state, a subset of its fluxes gradually change. The sequence of intermediate states, called the dynamic state, shows the pa...
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
Dynamic real-time systems require adaptive resource management to accommodate varying processing needs. We address the problem of resource management with multiple shared resource...
During the last decade various spatial data structures have been designed and compared against each other with respect to their performance. Still missing is a lower bound result,...