Cloud Metering and Monitoring

Main Article Content

Guntamukkala Gopi Krishna

Abstract

For Service Oriented Infrastructures (SOI) and Cloud services, monitoring and metering are crucial tasks. For the proper execution of cloud applications & the monitoring of SLA compliance, the data gathered through monitoring is required. The motivations for and challenges in monitoring and metering cloud systems are discussed. The methods for monitoring the network and execution environment on virtualized infrastructures will be discussed together with the monitoring tools that are now available on various commercial and research platforms. Every distributed computing system has a basic feature that includes monitoring chores. Every service should be watched over in order to evaluate its effectiveness and enable remedial measures in the event of failure. A functional snapshot of the system's behaviour along the time axis is what monitoring data reflects. Such information is essential for pinpointing the source of issues or for fine-tuning various system components. For example, failure detection and recovery procedures require a monitoring component to determine whether to restart a specific server or subsystem based on the data gathered by the monitoring system.

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Article Details

How to Cite
[1]
Guntamukkala Gopi Krishna , Tran., “Cloud Metering and Monitoring”, IJAENT, vol. 10, no. 9, pp. 1–3, Oct. 2023, doi: 10.35940/ijaent.I0475.0910923.
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Author Biography

Guntamukkala Gopi Krishna, B Tech, Department of Computer Science and Engineering, Lovely Professional University, Phagwara, Punjab, India.

Gopi Krishna, here, a native of Guntur, Andhra Pradesh. I'm now pursuing a bachelors at Lovely Professional University in Punjab, India, in the Computer Science and Engineering track. I'm proficient in C, C++, Java, Python, and I have a rudimentary understanding of Kotlin. Front-end languages like HTML, CSS, and JavaScript(basic) are other things I'm familiar with. Inquire with me about my certifications in Python, Java, Data Science, AI, and Machine Learning at https://www.credly.com/users/guntamukkala-gopi- krishna/badges. As for my leadership experience, I took part in GDSC-LPU as a member of the A.I./ML team, where I helped machine learning in easier ways while mentoring the mentee and exploring various ML topics. My study focuses on artificial intelligence and its practical implications for this particular technology.

How to Cite

[1]
Guntamukkala Gopi Krishna , Tran., “Cloud Metering and Monitoring”, IJAENT, vol. 10, no. 9, pp. 1–3, Oct. 2023, doi: 10.35940/ijaent.I0475.0910923.
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References

"CloudMeter: A Cloud Resource Metering and Profiling Tool for Online Applications" by Xue Liu, Baochun Li, and Chen Chen. This paper describes CloudMeter, a tool for metering and profiling cloud resources in real-time. Link: https://ieeexplore.ieee.org/document/6102676

"A Survey on Cloud Monitoring Tools: Concepts, Issues, and Solutions" by Hossain Shahriar, Md. Faizul Bari, and Md. Jahangir Alam. This paper provides an overview of various cloud monitoring tools and discusses their features, limitations,challenges. Link: https://ieeexplore.ieee.org/document/8241479

"CloudMonitor: A Lightweight Framework for Monitoring Cloud Services" by Yang Chen, Yilei Zhang, and Bo Li. This paper presents CloudMonitor, a lightweight framework for monitoring cloud services that is designed to be flexible and scalable. Link: https://ieeexplore.ieee.org/document/6461205