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This paper presents a blockchain-powered orchestration system for cloud resources. Smart contracts enforce leasing agreements between clients and providers transparently, reducing trust dependency and enabling decentralized scheduling and payment in federated cloud markets.
Jasper Emmett Rowe, Zhen Wei Zhou, Arvind Ramachandra Rao, Grace Matilda Quinn, Pablo Eduardo Sandoval
Paper ID: 22220401 | ✅ Access Request |
This study introduces a VM placement algorithm optimizing energy efficiency across cloud zones. It accounts for server workloads, power profiles, and latency constraints, reducing operational overhead in green data centers through dynamic migration strategies.
Leo Marcus Ellison, Fang Rui Chen, Naveen Karthik Sekhar, Amelia Isobel Lawrence, Thiago Miguel Duarte
Paper ID: 22220402 | ✅ Access Request |
This work introduces a cloud-hosted disaster analytics platform integrating geospatial data and AI damage models. It enables timely response and situational awareness in crisis zones using satellite inputs, ground sensor data, and emergency protocols.
Maxwell Ethan Goodwin, Zhang Wei Ling, Krishna Dinesh Raghav, Lily Frances Howard, Antonio Marcos Freitas
Paper ID: 22220403 | ✅ Access Request |
This paper presents an automated deployment engine for AI models in cloud pipelines. It integrates model validation, versioning, and monitoring modules, ensuring scalable deployment with feedback loops for retraining and rollback based on live data trends.
Isaac Henry Draper, Lin Mei Jing, Rachana Vikas Patil, Holly Samantha Burton, Enrique Javier Vega
Paper ID: 22220404 | ✅ Access Request |
This research explores low-code development tools enabling cloud service composition. The system generates backend integration pipelines automatically, reducing manual configuration and allowing rapid application development by abstracting complex orchestration tasks for developers.
Theodore Julian Clarke, Qiu Fen Chen, Ritesh Satyen Nambiar, Bella Ivy Chapman, Leonardo Felipe Morales
Paper ID: 22220405 | ✅ Access Request |
This paper presents a software-defined strategy to reduce energy consumption in cloud virtual switches. It dynamically reconfigures network paths using flow data and demand forecasting to optimize link activation and switch utilization in real time.
Felix Adrian Browning, Liu Jie Wen, Sanjay Harikumar Pai, Chloe Alice Whittaker, Daniel Alfonso Calderon
Paper ID: 22220406 | ✅ Access Request |
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