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Vol. 8, Issue 1 (2019)

Design and implementation of an open interface-based event forwarder solution for network element events: A comprehensive review and analysis

Author(s):
Jaishri Gothania
Abstract:
Event forwarding plays a critical role in modern networking systems, enabling the seamless transfer of network element events between different entities. However, existing solutions often rely on proprietary interfaces, limiting interoperability and flexibility. To address this challenge, this research paper focuses on the design and implementation of an open interface -based event forwarder solution for network element events. This study aims to develop a solution that provides an open API for recording network element events and transferring them to any registered entity through open -source software such as Fluentd or Fluent Bit. The solution is designed to operate in a Kubernetes environment, leveraging its scalability and orchestration capabilities. To evaluate the performance of the solution, a comparison is conducted between Apache Pulsar and Kafka, two popular eve nt streaming technologies. Metrics such as event transfer delay, message throughput, CPU utilization, and memory consumption are considered, employing a minimum of 10 pods, each generating 1000 events per pod. The outcomes of this research provide insights into the design principles and implementation strategies of an open interface -based event forwarder solution. The performance comparison between Apache Pulsar and Kafka sheds light on their suitability for event streaming in a Kubernetes environment. The findings contribute to the development of scalable and efficient event forwarding solutions, addressing the market's need for interoperability and flexibility in network element event handling.
Pages: 784-791  |  100 Views  43 Downloads


The Pharma Innovation Journal
How to cite this article:
Jaishri Gothania. Design and implementation of an open interface-based event forwarder solution for network element events: A comprehensive review and analysis. Pharma Innovation 2019;8(1):784-791. DOI: 10.22271/tpi.2019.v8.i1m.25414

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