By Jorge Marx Gomez, Michael Sonnenschein, Ute Vogel, Andreas Winter, Barbara Rapp, Nils Giesen
This publication offers the newest findings and ongoing learn within the box of eco-friendly info platforms and eco-friendly info and communique expertise (ICT). It presents insights right into a complete variety of cross-cutting themes in ICT and environmental sciences in addition to showcases how info and conversation applied sciences permit environmental and effort potency matters to be dealt with successfully. The papers offered during this booklet are a variety of prolonged and enhanced contributions to the twenty eighth overseas convention on Informatics for Environmental security devoted to ICT for strength potency. This publication is vital and especially worthy analyzing in case you already won uncomplicated wisdom and wish to deepen and expand their services within the matters pointed out above.
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Extra info for Advances and New Trends in Environmental and Energy Informatics: Selected and Extended Contributions from the 28th International Conference on Informatics for Environmental Protection
Instead, this paper proposes the idea of expanding the degrees of freedom a data center already has without altering any of its running applications. The goal of the presented methodology is to let the data center mostly operate in a minimum energy state; however, to allow demand response management (DRM), it should be able to enter a specific energy state, hence be able to control its power consumption. This could, for example, be used to follow an external power profile induced by a Smart Grid.
Simulation of data center power was addressed by the CloudSim toolkit . It provides the capabilities for modeling and simulating data centers with focus on Virtual Machines (VMs) allocation policies as a main method for optimizing power demand. It provides at its core implementation of various policies and allows the user to implement custom ones. CloudSim is written in Java and exposes an Application Programming Interface (API), but does not provide any graphical interface for designing the data center or running the simulation.
Traditionally, Data Center Infrastructure Management (DCIM) tools aim at modeling the static state of a data center: location of the racks and their occupying IT equipment. Maximum power demand of each device is stored and the sum is compared to a given maximum that the rack can provide. Not only is this power balance maintained by the tool, but also the weight and size of contained equipment against the respective capacity of the rack. DCIM tools provide topology simulation of data centers that supports design-time decisions and is based on peak power demand values.