Sustainable Cloud and Energy Services -
- Format: Broché Voir le descriptif
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Présentation Sustainable Cloud And Energy Services Format Broché
- Livre Technologie
Résumé :
Chapter 1.Cloud Computing for Internet of Things: Architecture, Issues and Challenges in integration.- Chapter 2.A self-governing and decentralized network of smart objects to share electrical power autonomously.- Chapter 3.Implementing Energy Service Automation using Cloud Technologies and Public Communications Networks.- Chapter 4.Privacy-Preserving Smart Grid Tariff Decisions with Block-Chain-Based Smart Contracts.- Chapter 5.Energy Cloud: Services for Smart Buildings.- Chapter 6.Virtual Machine Consolidation Algorithms for Energy-Efficient Dynamic Cloud Resource Management: A Review.- Chapter 7.Energy Saving in Cloud by using Enhanced Instance Based Learning (EIBL) for Resource Prediction.- Chapter 8.Short-Term Prediction Model to Maximize Renewable Energy Usage in Cloud Data Centers.- Chapter 9.Optimal Sizing of a Micro-Hydrokinetic Pumped-Hydro-Storage Hybrid System for Different Demand Sectors.- Chapter 10.Impact of different South African demand sectors on grid-connected PV systems' optimal energy dispatch under Time of Use Tariff.
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Biographie:
Dr. Wilson Rivera is a Professor of Computer Science and Engineering at the University of Puerto Rico at Mayaguez. ?
Sommaire:
Chapter 1.Cloud Computing for Internet of Things: Architecture, Issues and Challenges in integration.- Chapter 2.A self-governing and decentralized network of smart objects to share electrical power autonomously.- Chapter 3.Implementing Energy Service Automation using Cloud Technologies and Public Communications Networks.- Chapter 4.Privacy-Preserving Smart Grid Tariff Decisions with Block-Chain-Based Smart Contracts.- Chapter 5.Energy Cloud: Services for Smart Buildings.- Chapter 6.Virtual Machine Consolidation Algorithms for Energy-Efficient Dynamic Cloud Resource Management: A Review.- Chapter 7.Energy Saving in Cloud by using Enhanced Instance Based Learning (EIBL) for Resource Prediction.- Chapter 8.Short-Term Prediction Model to Maximize Renewable Energy Usage in Cloud Data Centers.- Chapter 9.Optimal Sizing of a Micro-Hydrokinetic Pumped-Hydro-Storage Hybrid System for Different Demand Sectors.- Chapter 10.Impact of different South African demand sectors on grid-connected PV systems' optimal energy dispatch under Time of Use Tariff.
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