Energy Saving Techniques for Cloud Data Centres: An Empirical Research Analysis-Reference-Cited by-同舟云学术

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Energy Saving Techniques for Cloud Data Centres: An Empirical Research Analysis

Published:2023 Issue: Volume: Page:763-779
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Shehloo Arif Ahmad,Butt Muheet Ahmed,Zaman Majid

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-5868-7_57

Reference48 articles.

1. IBM Marketing Cloud “10 Key Marketing Trends for 2017”

2. Dean J, Ghemawat S (2004) MapReduce: simplified data processing on large clusters. In: OSDI’04: sixth symposium on operating system design and implementation, San Francisco, CA, pp 137–150

3. Apache Hadoop technolog. https://developer.yahoo.com

4. The Apache Hadoop Project. https://hadoop.apache.org

5. Eugen F, Ramakrishnan L, Morin C (2015) Performance and energy efficiency of big data applications in cloud environments: a Hadoop case study. J Parallel Distrib Comput 80–89

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1. Anomaly Detection in Data Centers using Isolation Networks;2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN);2023-05-05

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