There is increasing interest in Grids that use compute, storage, and network resources in configurations involving both flexible sharing and tight-coupling. Such usage produces complex dynamics, subject to complex non-linear behavior. We believe that detailed packet level simulation is both possible and necessary forhigh fidelity grid simulations. We present the MicroGrid, a tool set which allo...

The traffic engineering of IP networks requires accurate characterization and modeling of network traffic, due to the growing diversity of multimedia applications and the need to efficiently support QoS differentiation in the network. In recent years several types of traffic behavior, that can have significant impact on network performance, were discovered: longrange dependence, self-similarity...

There is considerable long-term interest in understanding the dynamics of collaboration networks, and how these networks form and evolve over time. Most of the work done on the dynamics of social networks focuses on well-established communities. Work examining emerging social networks is rarer, simply because data is difficult to obtain in real time. In this paper, we use thirty years of data f...

Flocking is the phenomenon in which self-driven individuals, using limited information and simple rules, organize into an ordered motion. This ordering occurs at the dynamic level where ordering is not possible at static equilibrium of systems. This paper explores computational and theoretical efforts undertaken to explain emergent phenomenon among autonomous mobile agents. A class of local con...

We present a network modeling approach for various thin film growth techniques that incorporates reemitted particles due to the nonunity sticking coefficients. We model re-emission of a particle from one surface site to another one as a network link and generate a network model corresponding to the thin film growth. Monte Carlo simulations are used to grow films and dynamically track the trajec...

Current techniques for detecting botnets examine traffic content for IRC commands, monitor DNS for strange usage, or set up honeynets to capture live bots. Our botnet detection approach is to examine flow characteristics such as bandwidth, packet timing, and burst duration for evidence of botnet command and control activity. We have constructed an architecture that first eliminates traffic that...

Malware is a major threat to security and privacy of network users. A large variety of malware is typically spread over the Internet, hiding in benign traffic. New types of malware appear every day, challenging both the research community and security companies to improve malware identification techniques. In this paper we present MAGMA, MultilAyer Graphs for MAlware detection, a novel malware ...

Planning a goal-directed sequence of behavior is a higher function of the human brain that relies on the integrity of prefrontal cortical areas. In the Tower of London test, a puzzle in which beads sliding on pegs must be moved to match a designated goal configuration, patients with lesioned prefrontal cortex show deficits in planning a goal-directed sequence of moves. We propose a neuronal net...

Market power is the ability of a firm to raise the price of a product above its fair and competitive level. Locational market power is a special kind of market power that arises when locational advantage allows suppliers to act non-competitively. For example, in case of the electricity market, binding transmission constraints can prevent adequate competition. Transmission constraints can create...

In this paper, customer restaurant preference is predicted based on social media location check-ins. Historical preferences of the customer and the influence of the customer’s social network are used in combination with the customer’s mobility characteristics as inputs to the model. As the popularity of social media increases, more and more customer comments and feedback about products and serv...