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Oral Session I - II : Mobile/Sensor AI Applications

Deep dive into OpenTelemetry for evaluation of their observability in edge computing environment

초록

영어

The rise of cloud-native infrastructures has accelerated the adoption of OpenTelemetry as the leading standard for monitoring system performance. OpenTelemetry's well-established utility in software observability gives way to significant limitations when applied to hardware and real-time systems. This paper explores the challenges of integrating OpenTelemetry with hybrid cloudhardware environments, drawing on real-world use cases such as the Israel-Lebanon smart device sabotage. By highlighting performance deficiencies, protocol incompatibilities, and security vulnerabilities, we illustrate how OpenTelemetry's design shortcomings diminish its utility in hardware-intensive applications. We offer recommendations for improving device compatibility and mitigating cybersecurity threats. The document seeks to provide an exhaustive analysis and a strategy for enhancing telemetry in hybrid settings.

목차

Abstract
I. INTRODUCTION
A. Background
B. Problem Statement
II. OPENTELEMETRY IN CLOUD-NATIVE ENVIRONMENTS
A. Cloud-Native Use Cases and Benefits
B. Case Study1: Israel-Lebanon Conflict and IoT Vulnerabilities
C. Case Study 2: Mirai Botnet Attack on IoT Devices
III. DEEP DIVE INTO THE TECHNICAL FAILURES
A. Protocol Incompatibility and Integration Issues
B. Resource Constraints and Performance Overhead
IV. ENHANCING OPENTELEMETRY FOR HARDWARE MONITORING
A. Protocol Extension and Lightweight Agents
B. Security and Privacy Enhancements
V. CONCLUSION
ACKNOWLEDGEMENT
REFERENCES

저자정보

  • Omar Bin Kasim Bhuian Computer Science Department, Huaiyin Institute of Technology, Huai’an, Jiangsu, China
  • Ki-Woong Park Department of Information Security and Convergence Engineering for Intelligent Drone, Sejong University

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