Hugendubel.info - Die B2B Online-Buchhandlung 

Merkliste
Die Merkliste ist leer.
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.

Energy Cost Optimizations in Cloud Environments

Cost Aware Resource Management in Distributed Cloud Data Centers
BuchKartoniert, Paperback
216 Seiten
Englisch
AV Akademikerverlagerschienen am30.09.2016
The increasing popularity of cloud services today has led to a tremendous increase in energy consumption of data centers. As energy costs represent a significant part of the total cost of data center operations, energy cost reductions have become paramount for cloud providers to keep cloud services at an affordable price. This book provides insights into how to achieve significant energy cost reductions in environments with multiple interconnected data centers which feature connections to different power markets. The first part discusses various energy price forecasting methods in order to find the best method for predicting energy prices in power markets. The second part introduces a framework for cloud simulation in which different cloud conditions on real energy price data are tested. In addition, energy price forecasting methods are applied to further optimize resource scheduling and to maximize energy cost reductions. Finally, the results are summarized and the best model is presented resulting from cloud simulations over a wide range of energy price data.mehr

Produkt

KlappentextThe increasing popularity of cloud services today has led to a tremendous increase in energy consumption of data centers. As energy costs represent a significant part of the total cost of data center operations, energy cost reductions have become paramount for cloud providers to keep cloud services at an affordable price. This book provides insights into how to achieve significant energy cost reductions in environments with multiple interconnected data centers which feature connections to different power markets. The first part discusses various energy price forecasting methods in order to find the best method for predicting energy prices in power markets. The second part introduces a framework for cloud simulation in which different cloud conditions on real energy price data are tested. In addition, energy price forecasting methods are applied to further optimize resource scheduling and to maximize energy cost reductions. Finally, the results are summarized and the best model is presented resulting from cloud simulations over a wide range of energy price data.
Details
ISBN/GTIN978-3-330-50715-9
ProduktartBuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2016
Erscheinungsdatum30.09.2016
Seiten216 Seiten
SpracheEnglisch
Artikel-Nr.15683679

Autor

M. A., Studium der Kommunikationswissenschaft, Neueren und Neuesten Geschichte und Interkulturellen Kommunikation an der Ludwig-Maximilians-Universität München und der Università Cattolica Mailand. Referent für Medienforschung beim Bayerischen Rundfunk in München.