A unique way to mitigate service level agreement violation with sensor system energy saving

Cloud service companies can increase the return on their investments by lowering the energy usage of their data centers, but they must also make sure that the services they supply satisfy the diverse needs of their customers. In this paper, we provide a resource management technique to lower cloud data centers energy consumption and Service Level Agreement (SLA) violations. SLA violations owing to workload are also not taken into account by current methods. We developed a novel strategy to address the aforementioned problems, which is extremely beneficial for decreasing SLA violation as well as lowering energy loss. The results were significantly improved when compared to the current state-of-the-art approaches in terms of OSLAV, VM Migrations (Virtual Machine), Throughput, Average response Time, and Performance degrade. From the proposed method the average values obtained in terms of the parameters OSLAV, performance degradation, throughput, average response time and VM migration are 2.3%, 6.76%, 37%, 247.5[Formula: see text]ms, 582.

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Publication Details

Journal
Advances in Complex Systems
Published
2024-11-15
DOI
https://doi.org/10.1142/s1793962326410035
Citations
1
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.33
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article

A unique way to mitigate service level agreement violation with sensor system energy saving

Kanthi Bangalore Krishna, Mohammed Ali Hussain, Divya Midhunchakkaravathy
1 citations
Advances in Complex Systems
Smart Grid Security and Resilience
0.33
article

A unique way to mitigate service level agreement violation with sensor system energy saving

Kanthi Bangalore Krishna, Mohammed Ali Hussain, Divya Midhunchakkaravathy
article en
1 citations

Abstract

Cloud service companies can increase the return on their investments by lowering the energy usage of their data centers, but they must also make sure that the services they supply satisfy the diverse needs of their customers. In this paper, we provide a resource management technique to lower cloud data centers energy consumption and Service Level Agreement (SLA) violations. SLA violations owing to workload are also not taken into account by current methods. We developed a novel strategy to address the aforementioned problems, which is extremely beneficial for decreasing SLA violation as well as lowering energy loss. The results were significantly improved when compared to the current state-of-the-art approaches in terms of OSLAV, VM Migrations (Virtual Machine), Throughput, Average response Time, and Performance degrade. From the proposed method the average values obtained in terms of the parameters OSLAV, performance degradation, throughput, average response time and VM migration are 2.3%, 6.76%, 37%, 247.5[Formula: see text]ms, 582.

Advances in Complex Systems
Lincoln University College (MY)
Affordable and clean energy
Openalex Percentile: Top 39%
Smart Grid Security and Resilience
0.33
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