Abouzar Ghavami

Learn More
In this paper, we analyze the delay performance of three traffic signal control algorithms that can attain maximum system throughput, for a single four-way intersection. The first is a static (state-independent) fixed-time scheduling (FTS) policy which is followed in current practice. The second is a dynamic maximum weight (backlog) scheduling (MWS) policy(More)
In this paper, a cross-layer approach introducing new design parameters is developed for multi-rate wireless links. The novel design jointly exploits the finite-length queuing at the data link layer and the adaptation capability of the adaptive modulation and coding (AMC) scheme at the physical layer to optimize system performance for a wireless link. The(More)
As the number of charging Plugged-in Electric Vehicles (PEVs) increase, it is crucial to control the charging of PEVs in order to minimize energy generation and transmission costs, and ensure grid stability. In this work, we analyze the equilibrium properties of a natural price-driven charging control game in the distribution grid, between the utility (that(More)
In this paper, we present new adaptive linear discriminant analysis (LDA) algorithm and apply them for adaptive facial feature extraction. Adaptive nature of the proposed algorithm is advantageous for real world applications in which one confronts with a sequence of data such as online face recognition and mobile robotics. Application of the new algorithm(More)
In this paper, we analyze a framework of charging Plug-in Electric Vehicles (PEVs) where the electric utility (or aggregator) sets time-dependent prices for charging, and the PEVs choose their charging profiles so as to minimize their individual charging costs (maximize individual profits). We show that there exists pricing policies that results in social(More)
As the number of charging Plug-in Electric Vehicles (PEVs) increase, due to the limited power capacity of the distribution feeders and the sensitivity of the mid-way distribution transformers to the excessive load, it is crucial to control the amount of power through each specific distribution feeder to avoid system overloads that may lead to breakdowns. In(More)
The cloud networks use switches to transfer inbound and outbound traffic through the data centers. Access of multiple tenants to the limited bandwidth capacity over the network switches increases the data traffic congestion in the network. The highly congested switches are vulnerable to get overloaded, and consequently slow down the flow of data traffic in(More)
In the cloud, the network links are shared among tenants, which makes them easy to get fully congested (overloaded). Overloaded links degrade the performance of tenants' applications, and impose additional costs to the cloud provider. In this paper, we propose a nonlinear bandwidth pricing policy for congestion control in the cloud network. In order to(More)
As the number of charging Plug-in Electric Vehicles (PEVs) increase, it is crucial to control the charging of PEVs in order to minimize energy generation and transmission costs, and ensure grid stability. In this work, we analyze the equilibrium properties of a natural price-driven charging control game in the distribution grid, between the utility (that(More)
Modeling how the returns of assets in a portfolio are correlated is crucial to properly understand and price the risk in the portfolio. In this report we discuss methods for approximating a full correlation matrix with a k-factor model. We then discuss methods for efficiently simulating asset returns given such a model.
  • 1