This dissertation considers data centers as CPSs, with a focus on run-time management and operating costs. The proposed modeling framework explicitly captures the cyber- physical nature of data centers and allows the development of models that …
This paper presents data centers from a _cyber-physical system_ (CPS) perspective. Current methods for controlling information technology (IT) and cooling technology (CT) in data centers are classified according to the degree to which they take into …
This chapter discusses the challenges and the possibilities offered by controlling a data center as a node of the _smart-grid_. The communication between the grid and the data center takes the form of a time-varying and power-consumption-dependent …
This paper discusses the challenges and the possibilities offered by controlling a data center as a node of the smart-grid. Communication between the grid and a data center takes the form of a time-varying and power-consumption-dependent electricity …
This paper concerns the management of energy in data centers using a cyber-physical model that supports the coordinated control of both computational and thermal (cooling) resources. On the basis of the structure of the proposed model and practical …
This paper concerns the power minimization problem in server farms. The power minimization problem over dynamic power allocation schemes is formally defined and formulated as an optimization problem. It is shown that finding the optimal solution for …
This paper presents a new control strategy for data centers that aims to optimize the trade-off between maximizing the payoff from the provided quality of computational services and minimizing energy costs for computation and cooling. The data center …
This paper presents a unified, coordinated, thermal-computational approach to the data center energy management problem. A data center is modeled as two coupled net-works: a computational and a thermal network. The first network describes the …
This paper presents a unified approach to data center energy management based on a modeling framework that characterizes the influence of key decision variables on computational performance, thermal generation, and power consumption. Temperature …
This paper presents a unified approach to data center energy management based on a modeling framework that characterizes the influence of key decision variables on computational performance, thermal generation, and power consumption. Temperature …