The document summarizes edge computing and its role in various fields. It defines edge computing as bringing computation and data storage closer to devices that generate data to enable faster response times and enhance privacy. It discusses edge computing applications in autonomous vehicles, healthcare, and industrial automation. The document also reviews literature on edge computing architectures and challenges, surveys edge computing applications, describes how edge computing works, discusses its advantages like low latency and improved security, and potential future enhancements like increased automation and energy efficiency.

1. SIR M VISVESVARAYA INSTITUTE OF TECHNOLOGY
Bengaluru - 562157
TECHNICAL SEMINAR(18ECS84)
EDGE COMPUTING AND ITS ROLE IN LIFE
Under the guidance of
Dr. Sasmita Mohapatra
Associate Professor
Department of ECE
Presented by:
ARPIT KABRA (1MV19EC017)

2. CONTENTS
• Introduction
• Literature Survey
• Working of Edge Computing
• Advantages of Edge Computing
• Disadvantages of Edge Computing
• Future Scope of Edge Computing
• Conclusion
• References

3. INTRODUCTION
• Edge computing is a new computing paradigm that brings computation and data storage closer to the
devices that generate and use the data.
• It enables faster response times, reduces network congestion, and enhances privacy and security by
processing data locally on the device or at nearby edge servers.
• Edge computing has a wide range of applications in various fields such as autonomous vehicles,
healthcare, and industrial automation.
• However, it also presents several challenges such as managing distributed resources and ensuring
data consistency and security.

4. • Researchers are exploring various
techniques and architectures, such as edge-
native applications, distributed machine
learning, and federated learning, to address
these challenges.
• Edge computing is expected to play a
significant role in shaping our digital future
by enabling new applications and services
that were previously not possible, and
transforming the way we interact with
technology
Fig : Edge Computing

5. LITERATURE SURVEY
Comprehensive Survey of Edge Computing: Architecture, Applications, and Challenges" by R. Roman,
J. Lopez, and M. Mambo, published in IEEE Communications Surveys & Tutorials journal in 2021.
• Provides an overview of edge computing, including architecture, applications, and challenges.
• Reviews various edge computing architectures, such as cloud-edge, fog-edge, and mobile-edge,
and their advantages and disadvantages.
• Surveys the applications of edge computing in domains like smart cities, healthcare, and industry 4.0.
• Covers challenges of edge computing, such as security, privacy, resource management, and
energy efficiency.

6. Edge Computing for the Internet of Things: A Survey" by Y. Shi, X. Zhang, and Z. Li, published in
Journal of Industrial Information Integration in 2020.
• Provides a comprehensive survey of edge computing for the Internet of Things (IoT).
• Reviews various edge computing architectures, such as cloud-edge, fog-edge, and mobile-edge, and
their suitability for IoT applications.
• Surveys the research on edge computing in IoT, such as data processing, resource management,
and security.
• Discusses the challenges and future directions of edge computing for IoT.

7. WORKING OF EDGE COMPUTING
• Edge computing involves distributing computational tasks and data storage among various devices and
nodes in the network, enabling data processing and storage at the edge of the network, closer to the
devices that generate and use the data.
• Instead of transmitting data to a central server or data center for processing and analysis, data is
processed locally on the device or at nearby edge servers, resulting in reduced latency and network
congestion.
• Edge computing enhances privacy and security by processing sensitive data locally on the device or at
the edge server, reducing the risk of data breaches during transmission over the network.

8. • Edge computing requires a distributed architecture, where resources are managed across multiple
devices and nodes in the network, resulting in improved scalability, reliability, and flexibility.
• Edge computing can enable real-time processing of sensor data, enabling faster decision-making and
response times in applications such as autonomous vehicles and industrial automation.
• Edge computing can enable remote monitoring of patients and real-time analysis of medical data to
improve diagnosis and treatment in healthcare applications.
• Edge computing is a promising paradigm that is expected to revolutionize the way we interact with
technology and enable new applications and services that were previously not possible

9. APPLICATIONS OF EDGE COMPUTING
 IoT (Internet of Things)
 Automobile Industry
 Banking and Finance Industry
 Healthcare Industry
 Retail Industry
 Manufacturing Industry
 Agriculture Sector

10. ADVANTAGES OF EDGE COMPUTING
• Low Latency
• Bandwidth Optimization
• Improved Security
• Scalability
• Cost Effective
• Autonomous Operation
• Edge Analytics

11. DISADVANTAGES OF EDGE COMPUTING
• Limited Resources
• Complexity
• Security Risks
• Data Consistency
• Maintenance
• Integration

12. FUTURE ENHANCEMENT
• Improved Security
• Increased Automation
• Advanced Analytics
• Improved Interoperability
• Energy Efficiency

13. CONCULSION
• While edge computing has some disadvantages, including limited resources and integration
challenges, its benefits make it an attractive option for organizations that require real-time
processing and analysis of data.
• Edge computing has a vast scope, including industries such as IoT, healthcare, retail,
manufacturing, and energy, and can improve decision-making and overall performance.
• With the continued increase in data volume and velocity, edge computing is becoming
increasingly critical to organizations, and its numerous advantages are expected to play a
significant role in the future of computing and technology.

14. REFERENCES
[1] R. Roman, J. Lopez, and M. Mambo, "A Comprehensive Survey of Edge Computing: Architecture, App
[2] Y. Shi, X. Zhang, and Z. Li, "Edge Computing for the Internet of Things: A Survey," Journal of Industri

15. THANK YOU