Many problems in manufacturing systems can be formulated via Markov stochastic
modeling. This paper gives a review and classification of timed models of manufacturing …

Information flows in a network where individuals influence each other. The diffusion rate
captures how efficiently the information can diffuse among the users in the network. We …

In this paper, we study the sensitivity of centrality metrics as a key metric of social networks
to support visual reasoning. As centrality represents the prestige or importance of a node in …

Given a probabilistic graph G representing an intermittently connected network and routing
algorithm A, we wish to determine a delivery subgraph G [A] of G with at most k edges, such …

Fluctuations in biochemical processes can provide insights into the underlying kinetics
beyond what can be gleaned from studies of average rates alone. Historically, analysis of …

Neurogranin (Ng) is a postsynaptic IQ-motif containing protein that accelerates Ca 2+
dissociation from calmodulin (CaM), a key regulator of long-term potentiation and long-term …

A technique for defining and extracting passage-time densities from high-level stochastic
process algebra models is presented. Our high-level formalism is PEPA, a popular …

Cloud computing has paved the way to the flexible deployment of software applications. This
flexibility offers service providers a number of options to tailor their deployments to the …

In this paper we present a simple and effective approach for resource provisioning to
achieve a percentile bound on the end to end response time of a multi-tier application. We …

The growing concerns about the resource sustainability and environmental impact of
deploying billions or trillions of IoT devices in the various sectors of society or economy have …