9783330507159 - Energy Cost Optimizations in Cloud Environments: Cost Aware Resource Management in Distributed Cloud Data Centers de Egger, Andreas (8 resultados)

Taschenbuch. Condición: Neu. Energy Cost Optimizations in Cloud Environments | Cost Aware Resource Management in Distributed Cloud Data Centers | Andreas Egger | Taschenbuch | 216 S. | Englisch | 2016 | AV Akademikerverlag | EAN 9783330507159 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condición: New.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 216 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Egger AndreasAndreas Egger, M.Sc.: Study of Computer Science at Vienna University of Technology. Ph.D. Student at the Institute for Software Technology and Interactive Systems, Vienna University of Technology.The increasing popul.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 216 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.