Green Mobile Cloud Computing

Contents
Part I Mobile Cloud Computing
Green Mobile Cloud Computing for Industry 5.0
1 Introduction
2 Architecture of MCC
2.1 Service-Oriented Architecture
2.2 Agent – Client Architecture
2.3 Collaborative Architecture
2.4 Fog-Edge Architecture
3 Applications of MCC
3.1 Mobile Learning
3.2 Mobile Commerce
3.3 Mobile Healthcare
3.4 Mobile Game
4 Simulators of MCC
5 Research Challenges of MCC
5.1 Mobility Management
5.2 Offloading Method
5.3 Security and Privacy
5.4 Cost and Business Model
5.5 Deployment of Agents
5.6 Context-Aware Service Provisioning
5.7 Mobile Data Management
5.8 Energy-Efficiency
5.9 Resource Management
5.10 Integration of MCC with IoT
6 Green Mobile Cloud Computing
7 Summary and Conclusions
References
Optimization of Green Mobile Cloud Computing
1 Introduction
1.1 MCC Definition
1.2 Edge, Fog Computing and Cloudlet
2 Energy-Aware Algorithms in MCC
2.1 Content Caching
2.2 Computational Offloading
2.2.1 Energy-Aware Offloading Modeling
2.2.2 Green Offloading Algorithms
3 Energy-Aware Key Technologies in MCC
3.1 Energy-Aware NFV Deployment
3.2 Energy-Aware SDN-Enabled MCC
4 Renewable Energy Based MCC
4.1 Renewable Energy-Based MCC Risk Issues
4.2 Renewable Energy and MCC Functionalities
4.2.1 Computing (Task Scheduling and Offloading)
4.2.2 Content Caching
5 Energy-Aware Algorithms for Devices
6 Green AI-Based Algorithms
6.1 Traditional ML and Heuristic Algorithms
6.2 Deep Learning-Based Algorithms
6.3 Advanced ML Algorithms
7 Challenges and Future Works
8 Conclusion
References
Part II Green Mobile Cloud Computing
Energy Efficient Virtualization and Consolidation in Mobile Cloud Computing
1 Introduction
2 Motivation
3 Basics MCC
3.1 Architecture of MCC
3.2 Characteristics of MCC
3.3 Advantages of MCC
3.4 Applications of MCC
4 Energy Efficient Techniques
4.1 Energy Efficiency of Mobile Devices
4.2 Limited Battery Lifetime of Mobile Devices
4.3 Resource Scheduling
4.4 Task Offloading
4.5 Load Balancing
4.6 Resource Provisioning
5 Research Challenges
6 Future Research
7 Conclusion
References
Multi-criterial Offloading Decision Making in Green Mobile Cloud Computing
1 Introduction
2 Aspects of Decision-Making Regarding Offloading
3 Decision Making Regarding Offloading: When, What, Where and How to Offload
3.1 When to Offload
3.2 What to Offload
3.3 Where to Offload
3.4 How to Offload
4 Multi Criteria Decision Making (MCDM)
4.1 Analytical Hieratical Process (AHP)
4.2 Analytical Network Process (ANP)
4.3 Technique for Order of Preferences by Similarity to Ideal Solution (TOPSIS)
4.4 VIekriterijumsko KOmpromisno Rangiranje (VIKOR)
4.5 Tomada de decisaointerativa e multicritévio (TODIM)
4.6 Multi Objective Optimization on the Basis of Ratio Analysis (MOORA)
4.7 ELimination Et Choix Traduisant la REalit´e (ELECTRE)
4.8 Grey Relational Analysis (GRA)
5 Use of MCDM in Offloading
6 Conclusion
References
5G Green Mobile Cloud Computing Using Game Theory
1 Introduction
2 Advantages of Mobile Cloud Computing
3 The Use of Game Theory in Mobile Data Offloading
4 Utility Function and Game Table for Mobile Task Offloading
5 The Use of Game Theory in 5G Wireless Networks
6 Utility Function and Game Table for 5G Wireless Networks in Spectrum Allocation
7 The Use of Game Theory in Cloud Resource Allocation
8 Utility Function and Game Table for Non-Cooperative Game used in Cloud Resource Allocation
9 Mathematical Model
9.1 Delay
9.2 Power Consumption
10 Result and Discussions
10.1 Delay
10.2 Power Consumption
11 Summary of Games and Mobile Cloud Computing
11.1 Games for Task Offloading
11.2 Games for 5G Wireless Networks
11.3 Games for MCC Resource Allocation
12 Future Scope
13 Conclusion
References
Security Frameworks for Green Mobile Cloud Computing
1 Introduction
2 Existing Frameworks
2.1 Data Security Framework
2.1.1 Data Security Framework Proposed by Patel et al. [19]
2.1.2 Data Security Framework Proposed by Zhou and Huang [23]
2.2 Access Control Framework
2.2.1 System Architecture of Li et al.'s Dynamic Attributes Based Conventional Access Control
2.2.2 Static and Dynamic Attribute-Based Access Control Strategy for Collective Attribute Authorities
2.3 Communication Framework
2.3.1 Benefits of GMCC Communication Framework
2.3.2 Some Issues in GMCC Communication Framework
3 Security Challenges in Green Mobile Cloud Computing (GMCC) Frameworks
3.1 Data Security Challenges
3.2 Virtualization Security Challenges
3.3 Mobile Cloud Applications Security Challenges
3.4 Privacy Challenges
3.5 Partitioning and Offloading Security Challenges
4 Conclusion
References
Part III Applications and Future Research Directions of Green Mobile Cloud Computing
Sustainable Energy Management System Using Green Smart Grid in Mobile Cloud Computing Environment
1 Introduction
2 Mobile Cloud Computing and Smart Grid Overview
2.1 Mobile Cloud Computing
2.2 Smart Grid
2.3 Smart Metering
2.4 Micro Grid
3 Mobile Cloud Computing Key Requirements for Energy Efficiency
4 Architecture of Mobile Cloud Computing
5 MCC Advantages for Green Smart Grid
6 Integration of MCC in Green Smart Grid
7 Security Prospects of Green Energy Management
8 Future Scope
9 Conclusion
References
Geospatial Green Mobile Edge Computing: Challenges, Solutions and Future Directions
1 Introduction
2 Mobile Computing Paradigms
3 Existing Geospatial Applications on Mobile Edge Computing
3.1 Smart City Services
3.1.1 Traffic Prediction and Road Safety
3.1.2 Health Care Service
3.1.3 Environment Monitoring
3.2 Disease Monitoring
3.3 Disaster Monitoring
3.4 Tourism Monitoring
3.5 Geospatial Data Collection and Query Processing
4 Existing Energy Efficient Methods in Mobile Edge Computing
5 Challenges in Geospatial Mobile Edge Computing
6 Future Directions
7 Summary
References
Dynamic Voltage and Frequency Scaling Approach for Processing Spatio-Temporal Queries in Mobile Environment
1 Introduction
2 Related Work
3 Spatio-Temporal Query Processing and Experimentation on Two Dataset
4 Energy and Power-Aware Spatio-Temporal Query Processing
5 Conclusion and Future Directions
References
Green Cloud Computing for IoT Based Smart Applications
1 Introduction
1.1 Motivation
1.2 Contribution
2 Related Works
3 Mobile Computing
4 Green Cloud Computing
5 Approaches for Green Computing
6 Towards Green Fog Computing
7 Virtualization
8 Fog Serves a more Green Purpose
9 IoT Use Cases in Green Computing
9.1 Green IoT Outdoor Lights
10 Scope for Future Research
11 Conclusion
References
Green Internet of Things Using Mobile Cloud Computing: Architecture, Applications, and Future Directions
1 Introduction
2 Architecture of MCC
3 Delay and Power Consumption of IoT-MCC Based Network
4 Contribution of IoT- MCC Convergence
5 Applications of IoT- MCC
6 Enabling Technologies for Green IoT-MCC
7 Energy Harvesting Techniques for Green IoT
8 Future Research Directions of IoT-MCC
9 Conclusion
References
Predictive Analysis of Biomass with Green Mobile Cloud Computing for Environment Sustainability
1 Introduction
2 Mobile Cloud
3 Green Cloud Computing
4 Biomass and Their Composition
4.1 Wood and Agriculture Products
4.2 Solid Wastes
4.3 Landfill Gas and Biogas
4.4 Alcohol Fuels
5 Procedure
5.1 Data Mining/Collecting
5.2 Data Cleaning and Preprocessing
5.3 Exploratory Data Analysis (EDA)
5.4 Data Splitting
5.5 Selection & Application of Suitable Algorithm
5.6 Obtaining Result and Model Evaluation
5.7 Model Creation and Deployment into Cloud
5.8 Testing the Overall Process
6 Software Required
7 Cloud Server
8 Data Analysis Using Python
8.1 Gross Residue Potential
8.2 Bioenergy Potential
9 Algorithm
10 Deployment of the Model
10.1 File Upload Algorithm
10.2 File Download Algorithm
11 Dataset Used
12 Exploratory Data Analysis (EDA)
13 Advantage
14 Conclusion
15 Future Scope
References
6G Based Green Mobile Edge Computing for Internet of Things (IoT)
1 Introduction
2 5G and Beyond 5G for Internet of Things
2.1 Protocols for Green IoT
2.2 MQTT Protocol
2.3 gRPC Protocol for Edge, Cloud Microservices
2.4 IoT Application Development
2.4.1 Edge Level Buffer
2.4.2 Dew Level Buffering
2.5 Green IoT Challenges
2.6 Network Slicing Under 6G Mobile Edge
3 Sustainable Green Sensing
3.1 WSNs Application Perspective
3.2 Energy Efficient Sensor Networks Integrating 5G & 6G
4 Federated Learning for 6G Mobile Network
4.1 FL Based Mobile Edge Computing in the 6G Era Has the Following Benefits
4.2 Artificial Intelligence of Things for Edge Enabled Mobile Computing
5 Conclusion
References
Resource Management for Future Green Mobile Cloud Computing
1 Introduction
2 Architectures and Resource Management Challenges in GMCC
3 Virtualization Technologies for Dynamic Resource Allocation for GMCC
4 Analysis of Resource Management in Centralized GMCC
5 Analysis of Resource Management in Fog and Edge GMCC
6 Peer-to-Peer Technology and Resource Management for GMCC
7 Conclusion and Future Research Directions for GMCC
References
A Strategy for Advancing Research and Impact in New Computing Paradigms
1 Introduction
2 Key Strategic Elements for Advancing New Computing Areas
2.1 Identification of Potential Research Area
2.2 Systematic Reviews with Research Plan
2.2.1 Research Plan
2.3 Develop a Simulator
2.4 Software Systems
2.5 Publish Edited Books
2.6 Organize Conferences and Build a Community
2.7 Establish Academic and Industry Collaborations
2.8 Write Text Books
2.9 Develop and Offer Educational Programs
3 Adoption of the Strategy in Our Cloud Computing Research
4 Summary and Conclusions
References
New Research Directions for Green Mobile Cloud Computing
1 Introduction
2 Energy Harvesting in MCC
3 Entropy-Based GMCC
4 Green Vehicular-MCC
5 Green Mobile Crowd Sensing
6 Green Edge and Fog Computing
7 GMCC-Based Smart Applications
8 Geographical Location Aware Mobile Recommender System
9 Nature Inspired Algorithms for GMCC
10 Big Data Management
11 Machine Learning in MCC
12 Blockchain in GMCC
13 Dew Computing
14 Serverless Computing
15 Quantum Computing for GMCC
16 Intelligent System Design for 5G HetNet and Beyond
17 Summary
References