By Jorge Marx Gomez, Michael Sonnenschein, Ute Vogel, Andreas Winter, Barbara Rapp, Nils Giesen
This ebook offers the newest findings and ongoing examine within the box of eco-friendly info platforms and eco-friendly info and verbal exchange know-how (ICT). It offers insights right into a complete diversity of cross-cutting subject matters in ICT and environmental sciences in addition to showcases how details and conversation applied sciences enable environmental and effort potency concerns to be dealt with successfully. The papers provided during this e-book are a range of prolonged and greater contributions to the twenty eighth overseas convention on Informatics for Environmental security devoted to ICT for power potency. This e-book is key and especially worthy examining when you already won easy wisdom and need to deepen and expand their services within the topics 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
Section 3 will then detail the complete simulation framework. We evaluate the framework in Sect. 4 based on the initial goals. 2 Materials and Methods Since our framework is part of a larger CEMIS solution, one of our main design requirements is high interoperability and flexibility. We have therefore taken great care in choosing appropriate open standards where applicable, and a flexible architecture to facilitate integration with other systems. This also led us to the decision of utilizing an ontological approach as the foundation of the framework.
This model is then converted into a Modelica output using a Modelica component library as an additional input, and then used to run the actual simulations. Output of the simulation can be visualized directly from the editor. 1 Data Center Ontology Authors in  characterize foundational top-level ontologies to be ones that (1): have a large scope, (2): can be highly reusable in different modeling scenarios, (3): are philosophically and conceptually well-founded, and (4): are semantically 43 Fig.
When a new allocation state should be entered or evaluated, our algorithm calculates the needed migrations to cross from the current state to the new state and finds its involved PMs and their network paths respectively. It also evaluates which PMs can be switched off or have to be switched on. It then creates a migration plan where as much parallel migrations as possible are scheduled. Based on this information, the algorithm calculates the amount of steps s (Acurrent, Atarget) that is needed to migrate from the current allocation state Acurrent to the new state Atarget where each step takes a constant amount of time (defined by the duration of migrations and server switches).