Engineering and technology
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Scalable ETL Processes in Azure Data Factory: Best Practices for Data Engineers
Swathi Garudasu1, Sandhyarani Ganipaneni2, Rajas Paresh Kshirsagar3, Om Goel4, Prof. (Dr.) Arpit Jain5, Prof. (Dr) Punit Goel6 1Symbiosis Center for Distance Learning, Pune, India, 2 Scholar, Jawaharlal Nehru Technological University, Hyderabad, Telangana, India – 500081, 3N.Y.…
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Managing Complex Discount Structures Using SAP Pricing Modules
Krishna Kishor Tirupati, International Institute of Information Technology Bangalore , Abstract Managing complex discount structures is critical for companies to remain competitive and boost customer retention. This study focuses on leveraging SAP pricing modules to handle…
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Optimizing Cloud Infrastructure with Edge Computing for Latency Reduction
Pattabi Rama Rao Thumati Pondicherry University, India, Abstract The rapid growth of cloud computing and the increasing demand for low-latency applications necessitate the exploration of innovative solutions to enhance system performance. This manuscript investigates the integration…
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Predictive Models for Power Outage Management using Machine Learning Pipelines
Power outages can have significant social, economic, and operational impacts. Predictive models driven by machine learning (ML) can improve outage management by identifying risks and patterns from historical data and environmental factors. This manuscript explores a…
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Multi-Tenant Serverless Pipelines: Optimizing Energy and Latency Trade-offs
Serverless computing is transforming the landscape of cloud computing by enabling developers to deploy applications without worrying about infrastructure management. However, the increasing demand for multi-tenant serverless architectures introduces new challenges in balancing energy consumption and…
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AI-Enhanced Resource Allocation for Energy-Efficient Event-Driven Systems
In today’s hyperconnected world, event-driven systems are widely adopted across multiple sectors for real-time processing. Efficient energy consumption is becoming a critical design concern for such systems, especially with the exponential growth in events and the…
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Advanced Power System Analysis Using Azure Data Factory and Synapse
AMIT MANGAL University of Phoenix, TS Riverpoint Pkwy, Phoenix, AZ 85040, United States, Abstract This manuscript delves into the potential of Microsoft Azure’s Data Factory and Synapse Analytics in transforming power system analysis. Traditional power systems…
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AI-Driven Energy Optimization Algorithms in Datacenters Using Azure Cloud
Pronoy Chopra University Of Oklahoma Norman, OK 73019, United States, Abstract Data centers have become critical for modern enterprises, but they also contribute significantly to energy consumption, impacting both operational costs and the environment. AI-driven algorithms…
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Smart Manufacturing and Industry 4.0: The Role of IoT and AI in Optimizing Production Lines
DOI: https://doi.org/10.63345/ijrmeet.org.v10.i12.5 Dr Abhishek Jain Uttaranchal University Dehradun, Uttarakhand 248007, India Abstract Smart manufacturing, a cornerstone of Industry 4.0, leverages the convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) to transform traditional production…
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Exploring Quantum Computing for Solving Complex Engineering Problems
DOI: https://doi.org/10.63345/ijrmeet.org.v10.i12.4 Raghav Agarwal Greater Noida, UP, India Abstract Quantum computing has emerged as a transformative paradigm, leveraging principles of quantum mechanics to tackle computationally intractable problems. This manuscript explores the potential of quantum computing for…