Greener Data Pipelines: Energy Optimization in Hybrid Cloud and Edge Computing Architectures

Viharika Bhimanapati

Southern University and A&M College, USA , viharikaeb1@gmail.com

Abstract

In the era of rapid digital transformation, the demand for efficient data processing and storage solutions has surged. However, this growth has come at an environmental cost, as traditional data centers consume significant amounts of energy. This manuscript explores energy optimization strategies for data pipelines within hybrid cloud and edge computing architectures. By leveraging innovative techniques, such as workload management, resource scheduling, and energy-efficient hardware, we aim to minimize energy consumption while maintaining optimal performance. The findings demonstrate that integrating these strategies not only enhances the sustainability of data operations but also reduces operational costs, positioning organizations favourably in the evolving digital landscape.

Keywords

Energy Optimization, Hybrid Cloud, Edge Computing, Data Pipelines, Sustainability, Resource Management, Workload Scheduling

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• Bhimanapati, V., Jain, S., & Goel, O. “Cloud-Based Solutions for Video Streaming and Big Data Testing.” Universal Research Reports, 10(4), 329.
• Murthy, K. K. K., Renuka, A., & Pandian, P. K. G. (2023). “Harnessing Artificial Intelligence for Business Transformation in Traditional Industries.” International Journal of Novel Research and Development (IJNRD), 8(7), e746-e761. IJNRD
• Cheruku, S. R., Goel, P. (Prof. Dr.), & Jain, U. (2023). “Leveraging Salesforce Analytics for Enhanced Business Intelligence.” Innovative Research Thoughts, 9(5). DOI:10.36676/irt.v9.15.1462
• Murthy, K. K. K., Goel, O., & Jain, S. (2023). “Advancements in Digital Initiatives for Enhancing Passenger Experience in Railways.” Darpan International Research Analysis, 11(1), 40. DOI:10.36676/dira.v11.i1.71
• Cheruku, Saketh Reddy, Arpit Jain, and Om Goel. (2023). “Data Visualization Strategies with Tableau and Power BI.” International Journal of Computer Science and Engineering (IJCSE), 12(2), 55-72. View Paper
• Ayyagiri, A., Goel, O., & Agarwal, N. (2023). Optimizing Large-Scale Data Processing with Asynchronous Techniques. International Journal of Novel Research and Development, 8(9), e277–e294. Available at.
• Ayyagiri, A., Jain, S., & Aggarwal, A. (2023). Innovations in Multi-Factor Authentication: Exploring OAuth for Enhanced Security. Innovative Research Thoughts, 9(4). Available at.
• Musunuri, A., Jain, S., & Aggarwal, A. (2023). Characterization and Validation of PAM4 Signaling in Modern Hardware Designs. Darpan International Research Analysis, 11(1), 60. Available at.
• Big-Data Tech Stacks in Financial Services Startups. International Journal of New Technologies and Innovations, Vol.2, Issue 5, pp.a284-a295, 2024. [Link](http://rjpn ijnti/viewpaperforall.php?paper=IJNTI2405030)
• AWS Full Stack Development for Financial Services. International Journal of Emerging Development and Research, Vol.12, Issue 3, pp.14-25, 2024. [Link](http://rjwave ijedr/papers/IJEDR2403002.pdf)
• Enhancing Web Application Performance: ASP.NET Core MVC and Azure Solutions. Journal of Emerging Trends in Network Research, Vol.2, Issue 5, pp.a309-a326, 2024. [Link](http://rjpn jetnr/viewpaperforall.php?paper=JETNR2405036)
• Integration of SAP PS with Legacy Systems in Medical Device Manufacturing: A Comparative Study. International Journal of Novel Research and Development, Vol.9, Issue 5, pp.I315-I329, May 2024. [Link](http://www.ijnrd papers/IJNRD2405838.pdf)
• Data Migration Strategies for SAP PS: Best Practices and Case Studies. International Research Journal of Modernization in Engineering, Technology, and Science, Vol.8, Issue 8, 2024. doi: 10.56726/IRJMETS60925
• Securing APIs with Azure API Management: Strategies and Implementation. International Research Journal of Modernization in Engineering, Technology, and Science, Vol.6, Issue 8, August 2024. doi: 10.56726/IRJMETS60918
• Pakanati, D., Goel, P. (Dr.), & Renuka, A. (2024). Building custom business processes in Oracle EBS using BPEL: A practical approach. International Journal of Research in Mechanical, Electronics, Electrical, and Technology, 12(6). [Link](raijmr ijrmeet/wp-content/uploads/2024/08/IJRMEET_2024_vol12_issue_01_01.pdf)
• Pakanati, D. (2024). Effective strategies for BI Publisher report design in Oracle Fusion. International Research Journal of Modernization in Engineering Technology and Science (IRJMETS), 6(8). doi:10.60800016624
• Pakanati, D., Singh, S. P., & Singh, T. (2024). Enhancing financial reporting in Oracle Fusion with Smart View and FRS: Methods and benefits. International Journal of New Technology and Innovation (IJNTI), 2(1). [Link](tijer tijer/viewpaperforall.php?paper=TIJER2110001)
• Harshita Cherukuri, Vikhyat Gupta, Dr. Shakeb Khan. (2024). Predictive Maintenance in Financial Services Using AI. International Journal of Creative Research Thoughts (IJCRT), 12(2), h98-h113. [Link](http://www.ijcrt papers/IJCRT2402834.pdf)
• “Comparative Analysis of Oracle Fusion Cloud’s Capabilities in Financial Integrations.” (2024). International Journal of Creative Research Thoughts (IJCRT), 12(6), k227-k237. [Link](http://www.ijcrt papers/IJCRT24A6142.pdf)
• “Best Practices and Challenges in Data Migration for Oracle Fusion Financials.” (2024). International Journal of Novel Research and Development (IJNRD), 9(5), l294-l314. [Link](http://www.ijnrd papers/IJNRD2405837.pdf)
• “Customer Satisfaction Improvement with Feedback Loops in Financial Services.” (2024). International Journal of Emerging Technologies and Innovative Research (JETIR), 11(5), q263-q275. [Link](http://www.jetir papers/JETIR2405H38.pdf)
• Cherukuri, H., Chaurasia, A. K., & Singh, T. (2024). Integrating machine learning with financial data analytics. Journal of Emerging Trends in Networking and Research, 1(6), a1-a11. [Link](rjpn jetnr/viewpaperforall.php?paper=JETNR2306001)
• BGP Configuration in High-Traffic Networks. Author: Raja Kumar Kolli, Vikhyat Gupta, Dr. Shakeb Khan. DOI: 10.56726/IRJMETS60919. [Link](doi 10.56726/IRJMETS60919)
• Kolli, R. K., Priyanshi, E., & Gupta, S. (2024). Palo Alto Firewalls: Security in Enterprise Networks. International Journal of Engineering Development and Research, 12(3), 1-13. Link
• “Recursive DNS Implementation in Large Networks.” International Journal of Novel Research and Development, 9(3), g731-g741. [Link](ijnrd papers/IJNRD2403684.pdf)
• “ASA and SRX Firewalls: Complex Architectures.” International Journal of Emerging Technologies and Innovative Research, 11(7), i421-i430. [Link](jetir papers/JETIR2407841.pdf)
• Kolli, R. K., Pandey, D. P., & Goel, E. O. (2024). Complex load balancing in multi-regional networks. International Journal of Network Technology and Innovation, 2(1), a19-a29. Link
• RAJA KUMAR KOLLI, SHALU JAIN, DR. POORNIMA TYAGI. (2024). High-Availability Data Centers: F5 vs. A10 Load Balancer. International Journal of Creative Research Thoughts, 12(4), r342-r355. [Link](ijcrt papers/IJCRT24A4994.pdf)
• AJA KUMAR KOLLI, PROF.(DR.) PUNIT GOEL, A RENUKA. (2024). Proactive Network Monitoring with Advanced Tools. IJRAR – International Journal of Research and Analytical Reviews, 11(3), 457-469. [Link](ijrar IJRAR24C1938.pdf)
• Eeti, E. S. (2024). “Architectural patterns for big data analytics in multi-cloud environments,” The International Journal of Engineering Research, 8(3), 16-25. [TIJER](tijer tijer/viewpaperforall.php?paper=TIJER2103003)
• Mahimkar, E. S., Jain, P. (Dr.), & Goelndian, E. O. (2024). “Targeting TV viewers more effectively using K-means clustering,” International Journal of Innovative Research in Technology, 9(7), 973-984. [IJIRT](ijirt Article?manuscript=167451)
• Mahimkar, S., Jain, A., & Goel, P. (2024). “Data modelling techniques for TV advertising metrics in SQL and NoSQL environments,” Journal of Emerging Technologies and Novel Research, 1(4), a16-a27. [JETNR](rjpn jetnr/viewpaperforall.php?paper=JETNR2304002)
• Mahimkar, E. S., Agrawal, K. K., & Jain, S. (2024). “Extracting insights from TV viewership data with Spark and Scala,” International Journal of New Trends in Informatics, 2(1), a44-a65. [IJNTI](rjpn ijnti/papers/IJNTI2401006.pdf)
• Eeti, E. S., Renuka, A., & Pandian, E. P. K. G. (2024). “Preparing data for machine learning with cloud infrastructure: Methods and challenges,” International Journal of Innovative Research in Technology, 9(8), 923-929. [IJIRT](ijirt Article?manuscript=167453)
• “Evaluating Scalable Solutions: A Comparative Study of AWS, Azure, and GCP,” International Journal of Novel Research and Development (IJNRD), Vol.9, Issue 8, pp.20-33, August 2024. [IJNRD](http://www.ijnrd papers/IJNRD2109004.pdf)
• “Machine Learning in Wireless Communication: Network Performance”, International Journal of Novel Research and Development, Vol.9, Issue 8, pp.27-47, August 2024. Available at: IJNRD2110005.pdf

• Strategies for Product Roadmap Execution in Financial Services Data Analytics, International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 1, page no.d750-d758, January-2023, Available :http://www.ijnrd papers/IJNRD2301389.pdf
• Cherukuri, H., Pandey, P., & Siddharth, E. (2020). Containerized data analytics solutions in on-premise financial services. International Journal of Research and Analytical Reviews (IJRAR), 7(3), 481-491. http://www.ijrar viewfull.php?&p_id=IJRAR19D5684
• Cherukuri, H., Singh, S. P., & Vashishtha, S. (2020). Proactive issue resolution with advanced analytics in financial services. The International Journal of Engineering Research, 7(8), a1-a13. tijer tijer/viewpaperforall.php?paper=TIJER2008001
• Optimizing Data Processing for Financial Services Platforms, Harshita Cherukuri1, Villa 188, My Home Ankura, Sector B, Radial Road-7, Exit No 2, Tellapur, Cyberabad-sangareddy, 502032, Telangana, India , Dr. Bhawna Goel , Dr. Poornima Tyagi DOI LINK : 10.56726/IRJMETS60903  doi 10.56726/IRJMETS60903
• Cherukuri, H., Goel, E. L., & Kushwaha, G. S. (2021). Monetizing financial data analytics: Best practice. International Journal of Computer Science and Publication (IJCSPub), 11(1), 76-87. rjpn ijcspub/viewpaperforall.php?paper=IJCSP21A1011
• Swetha, S., Goel, O., & Khan, S. (2023). Integrating data for strategic business intelligence to enhance data analytics. Journal of Emerging Trends and Novel Research, 1(3), a23-a34. https://rjpn.org/jetnr/viewpaperforall.php?paper=JETNR2303003
• “Singiri, S., Goel, P., & Jain, A. (2023). Building distributed tools for multi-parametric data analysis in health. Journal of Emerging Trends in Networking and Research, 1(4), a1-a15
• Published URL: rjpn jetnr/viewpaperforall.php?paper=JETNR2304001″
• Singiri, E. S., Gupta, E. V., & Khan, S. (2023). Comparing AWS Redshift and Snowflake for data analytics: Performance and usability. International Journal of New Technologies and Innovations, 1(4), a1-a14. rjpn ijnti/viewpaperforall.php?paper=IJNTI2304001
• Alahari, Jaswanth, Amit Mangal, Swetha Singiri, Om Goel, and Punit Goel. 2023. “The Impact of Augmented Reality (AR) on User Engagement in Automotive Mobile Applications.” Innovative Research Thoughts 9(5):202–12. doi:10.36676/irt.v9.i5.1483.
• Vijayabaskar, Santhosh, Amit Mangal, Swetha Singiri, A. Renuka, and Akshun Chhapola. 2023. “Leveraging Blue Prism for Scalable Process Automation in Stock Plan Services.” Innovative Research Thoughts 9(5):216. doi: https://doi.org/10.36676/irt.v9.i5.1484.
• Mahadik, Siddhey, Amit Mangal, Swetha Singiri, Akshun Chhapola, and Shalu Jain. 2022. “Risk Mitigation Strategies in Product Management.” International Journal of Creative Research Thoughts (IJCRT) 10(12):665.