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Community Blog Green Cloud Metric: Monitoring Green Cloud Performance Using Solar Energy

Green Cloud Metric: Monitoring Green Cloud Performance Using Solar Energy

This project is from team Clouders, which was awarded with the Innovation Award in the PolarDB Global Hackathon 2023.

This project is from team Clouders, which was awarded with the Innovation Award in the PolarDB Global Hackathon 2023.

Project Introduction

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The Green Cloud Computing Performance metric measure of the servers used in datacenter of home solar energy have gained more importance due to cost effectiveness and customer satisfaction. The challenge in this scenario is how to store and process the tremendous amount of data created in real-time and offline by the sensor devices placed all around the servers of the solar energy infrastructure.

Project Value

The customer knows how the green cloud computing performance metric is generated from the servers of the solar energy datacenter. The solar energy provider firm can know what amount of green cloud computing performance metric generated from their infrastructure/datacenter

Solution

The Green Cloud Computing Performance metric measures the servers used in the datacenter, creating a tremendous amount of data in real-time and offline through sensor devices placed around the servers of the solar energy infrastructure. Storing such a PB level of data in traditional databases is not possible, so we have come up with a solution. The PB level of data generated from IoT/sensor devices can be stored in Alibaba Cloud PolarDB. The PB level of data is then structured, processed, and visualized through Alibaba Cloud products.

Technology Highlights

  1. A global database network (GDN) for geo-disaster recovery
  2. LIST DEFAULT HASH Partitioning of PolarDB MySQL for enhanced performance
  3. Data import feature of PolarDB from Data Management Service(DMS)
  4. PolarDB Datasource to connect QuickBI with PolarDB
  5. Alibaba Cloud Simple Application Server connection with Alibaba Cloud PolarDB

Alibaba Cloud Products Used

About the Developer

Mr. Kannan Nova currently works as a Data Scientist at Microsoft in the United States. He earned a Bachelor of Science in Engineering from Noorul Islam College of Engineering in TN, India, and a Master of Science in Data Science from Grand Canyon University in the United States. He received the most valuable professional award (MVP) from Alibaba Cloud. Mr. Nova has extensive hands-on experience in Data Science, Artificial Intelligence, Machine Learning, and Information Technology. His main areas of interest are Autonomous Driving Model Design, AI, ML, IOT, Smart Devices, and Cloud Computing. He gave a talk about "the role of AI in promoting water awareness to human conscience" at the United Nations Conference. He also presented "The Art of Elasticity and Scalability in Modern Cloud Computing World for Automation" in National and International Journals, Conferences, and Symposiums. Additionally, he is a chapter author for the book "Deep Learning-Enabled Edge Computing and IoT" and a second author for the book "Python for Data Analytics."

Mr. S. Gavaskar completed his M.E (Network and Internet Engineering) from Karunya University, Coimbatore in 2009 and his B.Tech (I.T) from St.Xavier's Catholic College of Engineering affiliated with Anna University in 2005. He has approximately 14 years of software experience and has worked with various .net technologies. Additionally, he has 10 years of teaching experience as an Assistant Professor at St.Xavier's Catholic College of Engineering. Currently, he works as a Cloud/Software Consultant at GM Software, Nagercoil, India. He is an MVP (Most Valuable Professional) in Alibaba Cloud, with over 75+ Clouder certifications and four Associate Certifications in Cloud Computing, Cloud Security of Enterprise Database Cloud Transformation Architect, and Cloud-Native. He also obtained the "DevOps Engineer Certification" from Alibaba Cloud and is an Oracle Academy Certified Trainer for Oracle Certification Courses. Mr. Gavaskar is an active writer of Alibaba Cloud on Quora and Reddit.

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