This poster presents results on a class of load balancing algorithms for large-scale cloud computing systems. We established steady-state perfor-mance of load balancing algorithms in the heavy traffic regime such that the load of system is approaches to one. This is a typical scenario under demand-response. We established a sufficient condition under which the probability that an incoming job is routed to an idle server is one asymp-totically.

Abstract: In this paper, we present two web-based attacks against local IoT devices that any malicious web page or third-party script can perform, even when the devices are behind NATs. In our attack scenario, a victim visits the attacker’s website, which contains a malicious script that communicates with IoT devices on the local network that have open HTTP servers. We show how the malicious script can circumvent the same-origin policy by exploiting error messages on an HTML5 interface or by carrying out DNS rebinding attacks.

Wrist-worn wearable devices provide rich sets of pulsatile physiological data under various modalities and circumstances. An unexploited capability is that the pulsatile physiological time series collected by wrist-worn wearable devices can be used for recovering internal brain dynamics. This Cyber Physical System research project integrates computational algorithms for state-space estimation with wrist-worn wearable devices that sense the physiological signals to present wearable machine-interface architectures related to mental stress.

The goal of the project is to develop techniques that will allow detection and correction of relay misoperations in electric grids. The work from NDSU in (2017-2018): 1) advanced the concept of energy function traces to detect disturbance events in power systems including: temporary and permanent line faults, load loss and excitation failures 2) developed SVD/PCA methods to determine the sensitivity and accuracy of energy-based methods.

Power system blackouts occur due to system-wide instability brought forth through a combination of dynamic events. Due to availability of system-wide synchrophasor data, it has become possible to conceive and apply real-time protection and control schemes that detect causes and symptoms of instabilities, and respond to arrest the progression of blackouts. However, detailed dynamic data from an actual blackout would be desirable for validation of such schemes. This poster describes the process of dynamically simulating the September 8, 2011 blackout in the Southwestern United States.

Abstract: Most future CPS systems will represent a complex, messy mix of hardware, software and human interactions – and may produce dangerous instabilities quicker than some external controller can react. The specific focus and motivation of this project concerns modeling and understanding the dynamics of such CPS that are large and evolve in a decentralized way due to changing market conditions, yielding a system comprising many heterogeneous components that may have incompatible communication protocols (e.g.

The nation’s critical infrastructures are increasingly dependent on systems that use computers to control vital physical components.  Imagine if you lose electric power, your water stops flowing, airplanes stop flying, medical devices stop working, and chemical plants explode.  These are all examples of Cyber-Physical Systems (CPSs) that are vulnerable to attack through their computer systems, through their physical properties such as power flow, water flow, chemistry, etc., or through both.

The accelerating pace of advances in sensing, communications, and computation provides significant opportunities for enhancing mobility and safety in the transportation system. Many challenges, however, must be tackled for a smooth transition in the deployment of such technologies. This research develops an Intelligent Intersection Control System (IICS) for both Connected/Automated Vehicles (CAVs) and conventional vehicles in the traffic stream.

The purpose of this project is to develop, simulate and test through targeted vehicle and roadway infrastructure field test experiments a traffic operating system (TOS) that organizes existing computation, communication and automotive technologies to minimize congestion by increasing traffic throughput and to enhance safety by reducing driver errors through the use of cooperative adaptive cruise control strategies.

The goal of this project is to create an integrative framework for the design of coupled biological and robotic systems that accommodates system uncertainties and competing objectives in a rigorous, holistic, and e­ffective manner. The design principles are developed using a concrete, end-to-end application of tracking and modeling fish movement with a network of gliding robotic fish. The proposed robotic platform is an energy-efficient underwater gliding robotic fish that travels by changing its buoyancy and mass distribution (gliding) or by flapping tail fin (swimming).