Advances in Mobile Cloud Computing and Big Data in the 5G Era 1st Edition by Constandinos Mavromoustakis, George Mastorakis, Ciprian Dobre ISSBN 3319451456 9783319451459

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ISBN 10:      3319451456
ISBN 13: 978-3319451459
Author:      Constandinos X. Mavromoustakis, George Mastorakis, Ciprian Dobre

Advances in Mobile Cloud Computing and Big Data in the 5G Era 1st Table of contents:

1. Handling Big Data in the Era of the Internet of Things (IoT)

Abstract
This paper explores the intersection of Big Data and the Internet of Things (IoT), examining how the explosion of IoT devices generates vast amounts of data and the challenges of managing and analyzing this data.

1. Introduction

   • Overview of the increasing relevance of Big Data and IoT in today’s world.

2. Big Data: Definition, Value, and Features

   • Definition and core characteristics of Big Data (volume, variety, velocity, veracity, and value).
   • The value of Big Data in various sectors, including healthcare, business, and manufacturing.

3. Big Data and the Internet of Things

   • How IoT devices generate large datasets and the challenges of processing and storing this data.
   • IoT as a driver of Big Data analytics and the need for real-time processing.

4. Implementations

   • 4.1 The Hadoop Project
     • Overview of Hadoop and its role in processing large datasets from IoT devices.
   • 4.2 Semantic Sensor Web
     • Integration of IoT with the Semantic Web for intelligent sensor data processing.

5. Big Data Over the Cloud

   • The role of cloud computing in storing and processing Big Data generated by IoT devices.

6. Privacy and Security Issues

   • Key concerns related to data privacy, security, and compliance in IoT and Big Data environments.

7. Conclusions

   • Summary of key points and future directions for Big Data and IoT integration.

References

• A list of all sources cited in the paper.

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2. Big Data and Cloud Computing: A Survey of the State-of-the-Art and Research Challenges

Abstract
This paper surveys the current state of Big Data and cloud computing, focusing on their convergence and the research challenges that arise in deploying Big Data solutions in the cloud.

1. Introduction

   • Introduction to the growing importance of Big Data and cloud computing technologies.

2. Big Data: Background and Architecture

   • Fundamental concepts of Big Data architecture and processing techniques.
   • The role of cloud platforms in supporting Big Data analytics.

3. Cloud-Supported Big Data: Towards a Cost-Benefit Analysis Model in Big Data-as-a-Service (BDaaS)

   • How cloud computing supports Big Data through services like BDaaS.
   • A discussion on cost-benefit analysis models for Big Data in the cloud.

4. Challenges and Open Research Issues

   • Scalability, data privacy, security, and performance issues in Big Data cloud deployments.
   • Challenges in managing large-scale data and delivering timely insights.

5. Summary and Conclusion

   • Summary of findings and suggestions for future research areas in cloud-based Big Data solutions.

Acknowledgements

• Recognition of contributions from supporting individuals or institutions.

References

• A list of all sources cited in the paper.

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3. Towards Mobile Cloud Computing in 5G Mobile Networks: Applications, Big Data Services, and Future Opportunities

Abstract
This paper discusses the potential of mobile cloud computing (MCC) in the context of 5G mobile networks, focusing on its applications, integration with Big Data services, and emerging opportunities.

1. Introduction

   • The evolution of mobile cloud computing and the role of 5G networks in enhancing mobile services.

2. Mobile Cloud Computing: Concept and Core Ideas

   • 2.1 Mobile Cloud Computing Definition and Architecture
     • Overview of MCC and its architecture, which involves offloading mobile applications to cloud servers.
   • 2.2 Applications of Mobile Cloud Computing and Impact Areas
     • The impact of MCC on various sectors, such as healthcare, entertainment, and smart cities.

3. Communicating the Business Value and Benefits of Mobile Cloud Computing to Non-technical Stakeholders

   • How to present the benefits of MCC, such as cost efficiency, scalability, and real-time data access, to business stakeholders without technical backgrounds.

4. Future Opportunities and Challenges

   • Future research areas in MCC, including enhanced network infrastructure (5G), AI-driven cloud services, and edge computing.
   • Challenges in implementing MCC on a large scale, including network latency, data security, and regulatory concerns.

5. Concluding Remarks

   • Summary of key findings and the promising future of MCC in 5G environments.

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