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Ravi Kumar Vankayalapati

Cloud AI ML Engineer

  • Cloud AI ML Engineer

SCHOLARLY PAPERS

16

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Top 44,699

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2,836

TOTAL CITATIONS
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SSRN RANKINGS

Top 23,281

in Total Papers Citations

74

Scholarly Papers (16)

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1.

AI-Powered Self-Healing Cloud Infrastructures: A Paradigm For Autonomous Fault Recovery

Migration Letters Volume: 19, No: 6 (2022), pp. 1173-1187
Number of pages: 15 Posted: 03 Feb 2025
Ravi Kumar Vankayalapati and Chandrashekar Pandugula
Cloud AI ML Engineer and Sr Data Engineer, Lowes Inc
Downloads 661 (102,331)
Citation 25

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AI-driven infrastructure, Self-healing cloud systems, Autonomous fault recovery, Cloud resilience, Fault tolerance in cloud computing, Machine learning in cloud management, Predictive maintenance, Cloud automation, AI-powered fault detection, Distributed cloud architecture, Self-healing algorithms, Cloud infrastructure optimization, Real-time fault recovery, Edge computing and self-healing, Autonomous system recovery

2.

Zero-Trust Security Models for Cloud Data Analytics: Enhancing Privacy in Distributed Systems

Downloads 425 (172,704)

Zero-Trust Security Models for Cloud Data Analytics: Enhancing Privacy in Distributed Systems

Number of pages: 8 Posted: 03 Feb 2025
Ravi Kumar Vankayalapati
Cloud AI ML Engineer
Downloads 388 (189,856)

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Abstract, Academic Literature, Scientific Literature, Reader Interaction, Contributions, Contextual Importance, Current Problems, Future Lines, Implementation, Evaluations, Privacy, Distributed Computing, Personal Data Sensitivity, Googlization of Information, Random Graph, Distributed Data, Privacy Compromise, Zero Trust Security, Robust Systems, Cloud Architectures

Zero-Trust Security Models for Cloud Data Analytics: Enhancing Privacy in Distributed Systems

Number of pages: 8 Posted: 13 Feb 2025
Ravi Kumar Vankayalapati
Cloud AI ML Engineer
Downloads 37 (1,252,562)

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Abstract, Academic Literature, Scientific Literature, Reader Interaction, Contributions, Contextual Importance, Current Problems, Future Lines, Implementation, Evaluations, Privacy, Distributed Computing, Personal Data Sensitivity, Googlization of Information, Random Graph, Distributed Data, Privacy Compromise, Zero Trust Security, Robust Systems, Cloud Architectures

3.

Green Cloud Computing: Strategies for Building Sustainable Data Center Ecosystems

Number of pages: 15 Posted: 13 Feb 2025
Ravi Kumar Vankayalapati
Cloud AI ML Engineer
Downloads 298 (268,226)
Citation 5

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Green Cloud Computing, Sustainable Data Centers, Energy Efficiency, Environmental Considerations, Resource Minimization, Clean Computing, Power-Proportional Components, Big Data Storage, Server Systems, Power Supply Units, Energy-Conscious Resource Management, Green Management Solutions, Ecological Sustainability, Data Center Operators, Innovative Strategies, Cloud Computing Practices, Multidimensional Challenges, Technical Aspects, Partnerships, Ecological Impact

4.

Unifying Edge and Cloud Computing: A Framework for Distributed AI and Real-Time Processing

Downloads 228 (349,796)
Citation 12

Unifying Edge and Cloud Computing: A Framework for Distributed AI and Real-Time Processing

Number of pages: 14 Posted: 27 Jan 2025
Ravi Kumar Vankayalapati
Cloud AI ML Engineer
Downloads 228 (349,289)
Citation 12

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Edge Computing, Cloud Computing, Distributed AI, Real-Time Processing, AI Framework, Edge-Cloud Integration, Distributed Systems, Latency Reduction, Data Processing

Unifying Edge and Cloud Computing: A Framework for Distributed AI and Real-Time Processing

Posted: 31 Jan 2025
Srinivas Kalisetty and Ravi Kumar Vankayalapati
Independent and Cloud AI ML Engineer

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Edge Computing, Cloud Computing, Distributed AI, Real-Time Processing, AI Framework, Edge-Cloud Integration, Distributed Systems, Latency Reduction, Data Processing

5.

AI-Driven Decision Support Systems: The Role Of High-Speed Storage And Cloud Integration In Business Insights

Number of pages: 16 Posted: 21 Feb 2025
Ravi Kumar Vankayalapati
Cloud AI ML Engineer
Downloads 211 (361,209)
Citation 4

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6.

Edge-Optimized and Explainable Deep Learning Framework for Real-Time Intrusion Detection in Industrial Iot

Proceedings of the 3rd International Conference on Optimization Techniques in the Field of Engineering (ICOFE-2024)
Number of pages: 13 Posted: 06 Jan 2025
Abhay Shukla, Shail Dubey, P. Nithya, Bhukya Shankar, Ravi Kumar Vankayalapati and Kavita Khatana
Rama University, kanpur, Uttar Pradesh, Axis Institute of Technology and Management, Kanpur, K S R Institute for Engineering and Technology, CVR College of Engineering, Cloud AI ML Engineer and GL Bajaj Institute of Technology and Management
Downloads 208 (387,924)
Citation 1

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Industrial Internet of Things, Intrusion Detection, Deep Learning, Explainable AI, Edge Computing, Federated Learning, Cybersecurity, CNN-LSTM, Real-Time Detection, and Resource Optimization.

7.

Composable Infrastructure: Towards Dynamic Resource Allocation in Multi-Cloud Environments

Downloads 193 (399,431)
Citation 13

Composable Infrastructure: Towards Dynamic Resource Allocation in Multi-Cloud Environments

Number of pages: 15 Posted: 24 Feb 2025
Ravi Kumar Vankayalapati
Cloud AI ML Engineer
Downloads 151 (497,016)
Citation 5

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Resource Allocation, Cloud Computing, Strategies, Dynamic, Multi-cloud, Composable Infrastructure, Composable Infrastructure, Dynamic Resource Allocation, Multi-Cloud Environments, Cloud Resource Management, Infrastructure as Code (IaC), Elasticity in Cloud Computing, Cloud Orchestration, Virtualization, Distributed Systems, Scalable Cloud Solutions, Resource Pooling, Automation in Cloud, Cloud-Native Architectures, Infrastructure Flexibility, Data Center Optimization Vankayalapati, R. K., Edward, A., & Yasmeen, Z. (2022). Composable Infrastructure: Towards Dynamic January10, 2022

Composable Infrastructure: Towards Dynamic Resource Allocation in Multi-Cloud Environments

Number of pages: 15 Posted: 11 Feb 2025
Ravi Kumar Vankayalapati
Cloud AI ML Engineer
Downloads 42 (1,196,631)
Citation 8

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Resource Allocation, Cloud Computing, Strategies, Dynamic, Multi-cloud, Composable Infrastructure, Composable Infrastructure, Dynamic Resource Allocation, Multi-Cloud Environments, Cloud Resource Management, Infrastructure as Code (IaC), Elasticity in Cloud Computing, Cloud Orchestration, Virtualization, Distributed Systems, Scalable Cloud Solutions, Resource Pooling, Automation in Cloud, Cloud-Native Architectures, Infrastructure Flexibility, Data Center Optimization Vankayalapati, R. K., Edward, A., & Yasmeen, Z. (2021). Composable Infrastructure: Towards Dynamic

8.

AI Clusters and Elastic Capacity Management: Designing Systems for Diverse Computational Demands

Downloads 139 (537,489)
Citation 2

AI Clusters and Elastic Capacity Management: Designing Systems for Diverse Computational Demands

Number of pages: 12 Posted: 24 Feb 2025
Ravi Kumar Vankayalapati
Cloud AI ML Engineer
Downloads 119 (616,074)
Citation 2

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AI Cluster Architecture, Elastic Capacity Management, Diverse Computational Demands, Dynamic Clusters, Workload Management, System Design Challenges, Industry-specific AI Patterns, Logical Architecture, Execution Daemon Agnosticism, Workload Models, Latency-QoS Optimization, Proof-of-concept Implementation, GPU and CPU Platforms, Real-time AI, High-batch Throughput, Multi-modal Behavior, Data Analytics, Serverless Elastic Systems, Capacity Planning, Cloud AI Workloads

AI Clusters and Elastic Capacity Management: Designing Systems for Diverse Computational Demands

Number of pages: 12 Posted: 24 Feb 2025
Ravi Kumar Vankayalapati and Shail Dubey
Cloud AI ML Engineer and Axis Institute of Technology and Management, Kanpur
Downloads 20 (1,500,232)

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AI Cluster Architecture, Elastic Capacity Management, Diverse Computational Demands, Dynamic Clusters, Workload Management, System Design Challenges, Industry-specific AI Patterns, Logical Architecture, Execution Daemon Agnosticism, Workload Models, Latency-QoS Optimization, Proof-of-concept Implementation, GPU and CPU Platforms, Real-time AI, High-batch Throughput, Multi-modal Behavior, Data Analytics, Serverless Elastic Systems, Capacity Planning, Cloud AI Workloads

9.

High-Speed Storage in AI Systems: Unlocking Real-Time Analytics in Cloud-Integrated Frameworks

Number of pages: 13 Posted: 19 Feb 2025
Ravi Kumar Vankayalapati
Cloud AI ML Engineer
Downloads 94 (736,406)

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Real-time Analytics, Data-driven Decision Making, Big Data Storage, Persistent Memory, High-speed Storage, Byte-addressable Memory, Direct Attached Storage, Computational Storage, Distributed AI Systems, Cloud Frameworks, Storage Stacks, Stateless Computing Storage, AI-centric Storage, Cloud Computing Transformations, Time-series Systems, Stream Processing, AI-optimized Storage, Storage Controllers, Edge Computing, AI Accelerators

10.

AI-Driven Storytelling in Cloud Analytics: Bridging Complex Insights and Actionable Narratives

Number of pages: 14 Posted: 11 Feb 2025
Ravi Kumar Vankayalapati
Cloud AI ML Engineer
Downloads 91 (747,755)

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AI-driven storytelling, cloud analytics, business intelligence, data products, data narratives, storytelling affordances, spreadsheet data, data analysis, chart, natural language generation, ethnographic studies

11.

Financial Optimization in the Automotive Industry: Leveraging Cloud-Driven Big Data and AI for Cost Reduction and Revenue Growth

Downloads 89 (725,554)

Financial Optimization in the Automotive Industry: Leveraging Cloud-Driven Big Data and AI for Cost Reduction and Revenue Growth

Number of pages: 7 Posted: 03 Feb 2025
Ravi Kumar Vankayalapati and Shail Dubey
Cloud AI ML Engineer and Axis Institute of Technology and Management, Kanpur
Downloads 89 (773,441)

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Artificial Intelligence, Banks, Financial Performance, Revenue, Content Analysis

Financial Optimization in the Automotive Industry: Leveraging Cloud-Driven Big Data and AI for Cost Reduction and Revenue Growth

The Bioscan, 19(2): S.I (1), 639-645, 2024 | DOI: 10.63001/tbs.2024.v19.i02.S.I(1).pp639-645
Posted: 14 Feb 2025
Lakshminarayana Reddy and Ravi Kumar Vankayalapati
Jawaharlal Nehru Technological University (JNTU) and Cloud AI ML Engineer

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Artificial Intelligence, Banks, Financial Performance, Revenue, Content Analysis

12.

Energy-Efficient AI Clusters: Reducing Carbon Footprints with Cloud and High-Speed Storage Synergies

Number of pages: 13 Posted: 04 Mar 2025
Ravi Kumar Vankayalapati
Cloud AI ML Engineer
Downloads 79 (816,709)

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Energy-efficient AI Clusters, Carbon Footprint Reduction, Deep Learning Models, Large-scale Training, High-dimensional Data, Cloud Infrastructure Deployment, High-speed Storage, Computational Costs, Energy Optimization, CPU-bound Tasks, Disk-bound Tasks, GPU-bound Tasks, Network Links, Performance Degradation, Environmentally Friendly AI, AI Energy Consumption, AI Training Optimization, Sustainable AI, AI Deployment Challenges, Energy-efficient Storage

13.

Harnessing Quantum Cloud Computing: Impacts on Cryptography, AI, and Pharmaceutical Innovation

Number of pages: 15 Posted: 10 Feb 2025
Ravi Kumar Vankayalapati
Cloud AI ML Engineer
Downloads 52 (1,041,696)
Citation 1

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Quantum Computing, Cloud Infrastructure, AES Encryption, Pharmaceutical Innovation, Shor's Algorithm, Circuit Optimization, Machine Learning, Quantum Electronic Circuits, Qubit Error Rates, Hamiltonian/Ising Design

14.

Explainable Analytics in Multi-Cloud Environments: A Framework for Transparent Decision-Making

Number of pages: 12 Posted: 13 Feb 2025
Ravi Kumar Vankayalapati
Cloud AI ML Engineer
Downloads 42 (1,183,237)
Citation 11

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Explainable Analytics, Multi-Cloud Analytics, Model Explanation, Decision-Making, Visual Analytics, Cloud Brokering, Decision-making, Digital Services, Intelligent cloud Services, Multi-cloud Analytics, Multi-cloud explainability, Multi-cloud Regulation, Ranking Algorithms, Trustful Decisions

15.

Optimizing Real-Time Data Processing: Edge and Cloud Computing Integration for Low-Latency Applications in Smart Cities

Number of pages: 14 Posted: 10 Feb 2025
Ravi Kumar Vankayalapati
Cloud AI ML Engineer
Downloads 26 (1,372,601)

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Circular economy, Sustainability goals, Supply chain optimization, Recycling practices, Resource efficiency, Waste reduction, Reuse strategies, Sustainable sourcing, Eco-friendly supply chains, Closed-loop systems, Environmental impact, Green logistics, Circular supply chains, Circular business models, Zero waste initiatives

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Real-Time Data Processing, Edge Computing, Cloud Computing, Low-Latency Applications, Smart Cities, Data Integration, IoT (Internet of Things), Distributed Computing, Latency Optimization, Data Analytics, Scalability, Network Architecture, Fog Computing, Stream Processing, Data Sovereignty, Machine Learning at the Edge, Real-Time Analytics, Smart Infrastructure, Urban Computing, Sensor Networks, Resource Management, Traffic Management Systems, Predictive Maintenance, Interoperability, Data Security