Titlebook: Sustainable Cloud and Energy Services; Principles and Pract Wilson Rivera Book 2018 Springer International Publishing AG 2018 Engineering d

不公开

使无效

上坡

instill

信徒

Dynamic Virtual Machine Consolidation Algorithms for Energy-Efficient Cloud Resource Management: A VMC is highly popular research topic and plethora of researchers are presently working in this area, the related literature is extremely broad. Hence, it is a non-trivial research work to cover such extensive literature and find strong distinguishing aspects based on which VMC algorithms can be cla

FER

Energy Saving in Cloud by Using Enhanced Instance Based Learning (EIBL) for Resource Prediction,h increase in computational and storage needs of business users who are moving their applications and data to cloud, scaling of cloud resources at the providers end, results in increased energy consumption and carbon dioxide emissions. This necessitates looking for possible energy saving approaches

使人入神

思想

Optimal Sizing of a Micro-Hydrokinetic Pumped-Hydro-Storage Hybrid System for Different Demand Sectng HOMER Legacy Version). The objective is to validate the best economical approach for sizing a hydrokinetic hybrid system. The second objective of the study is to investigate the effect brought by different demand sectors such as residential, commercial, and industrial load on sizing and operation