This paper analyses how Big Data can be stored by Cloud Computing and Fog Computing. Because of the broad utilization of web-based social networking, data is produces by the fast increment. Big Data is giving the office to accumulate, store, oversee and examine information in colossal volume that is produced through the healthcare system.
Cloud Computing is an advancement too that insures the fulfillment of IT requirements in a suitable way by providing the cloud-based environment for medical field. Storage is an immense issue for BD, volume of data is huge, this issue may resolve with the help of cloud computing by providing the storage space for data and processing mechanism as well.
This paper presents these thoughts with respects to medicinal services. It tells regarding the points of interest, yet in addition challenges conveyed by Big Data to this field. It additionally talks about the idea of fog computing, some advantages of edge computing on cloud computing and deliberate the architecture of fog computing for healthcare and services provides by that architecture.
Inhaltsverzeichnis (Table of Contents)
- Introduction
- Background
- Cloud computing
- Big data definitions and characteristic's in Healthcare
- Research on big data and cloud computing in Healthcare
- Year of publications
- Limitations and obstacles of cloud computing
- Need of fog computing
- Discussion
- Fog computing features and solutions to different problems
- The implemented fog
- The duty of fog computing
- Conclusion
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This paper explores the role of cloud computing in handling the large volume of data generated by the healthcare system. It discusses the advantages and challenges of cloud computing in healthcare, highlighting the need for a new approach, such as fog computing, to address issues like data security and accessibility.
- Big Data in Healthcare
- Cloud Computing in Healthcare
- Limitations of Cloud Computing
- Fog Computing as a Solution
- Applications of Fog Computing in Healthcare
Zusammenfassung der Kapitel (Chapter Summaries)
The introduction sets the stage by discussing the growing volume of data generated in healthcare and the need for efficient data management solutions. Chapter 2 delves into the concepts of cloud computing and big data, outlining their characteristics and applications in healthcare. Chapter 3 examines research on big data and cloud computing in the healthcare domain, including trends in publications. Chapter 4 explores the limitations and obstacles associated with traditional cloud computing in healthcare, setting the stage for the introduction of fog computing. Chapter 5 presents the need for fog computing as a viable solution to address the limitations of cloud computing in healthcare. Chapter 6 discusses the features and benefits of fog computing, providing examples of its implementation in healthcare.
Schlüsselwörter (Keywords)
This paper focuses on the use of cloud computing and big data in healthcare, addressing challenges through the implementation of fog computing. Key terms include cloud computing, big data, healthcare, fog computing, and edge computing.
Frequently Asked Questions
What is the role of Big Data in healthcare?
Big Data in healthcare involves gathering, storing, and analyzing massive volumes of data generated by medical systems to improve patient care, research, and operational efficiency.
How does Cloud Computing help with Big Data storage?
Cloud Computing provides scalable storage space and high-performance processing mechanisms that allow healthcare organizations to manage huge datasets without needing massive on-site infrastructure.
What are the limitations of Cloud Computing in healthcare?
Key challenges include data security, latency issues (delays in data processing), and the accessibility of data in real-time environments.
What is Fog Computing?
Fog Computing is an extension of cloud computing that brings computation, storage, and networking services closer to the edge of the network (near the users/devices), reducing latency and improving speed.
Why is Fog Computing beneficial for medical services?
It allows for faster data processing for critical healthcare devices, enhances security by keeping data local, and reduces the bandwidth required to send everything to a central cloud.
What is the difference between Edge and Fog computing?
While both bring processing closer to the source, Fog computing typically refers to the infrastructure between the edge and the cloud, whereas Edge computing happens directly on the devices themselves.
- Quote paper
- Ajit Singh (Author), 2019, Storage of Big Data. From Cloud Computing to Fog Computing (C2F), Munich, GRIN Verlag, https://www.grin.com/document/489722
