Shashikant Ilager
Orcid: 0000-0003-1178-6582
According to our database1,
Shashikant Ilager
authored at least 29 papers
between 2017 and 2024.
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Bibliography
2024
CloudSim express: A novel framework for rapid low code simulation of cloud computing environments.
Softw. Pract. Exp., March, 2024
Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis.
CoRR, 2024
A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments.
CoRR, 2024
Proteus: Towards Intent-driven Automated Resource Management Framework for Edge Sensor Nodes.
Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, 2024
Proceedings of the 7th International Workshop on Edge Systems, Analytics and Networking, 2024
iContinuum: An Emulation Toolkit for Intent-Based Computing Across the Edge-to-Cloud Continuum.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024
2023
Energy-Efficiency and Sustainability in New Generation Cloud Computing: A Vision and Directions for Integrated Management of Data Centre Resources and Workloads.
CoRR, 2023
A Data-driven Analysis of a Cloud Data Center: Statistical Characterization of Workload, Energy and Temperature.
Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2023
DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets.
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023
2022
IEEE Trans. Netw. Serv. Manag., December, 2022
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks.
IEEE Trans. Mob. Comput., 2022
Machine learning (ML)-centric resource management in cloud computing: A review and future directions.
J. Netw. Comput. Appl., 2022
Workload forecasting and energy state estimation in cloud data centres: ML-centric approach.
Future Gener. Comput. Syst., 2022
Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022
2021
IEEE Trans. Parallel Distributed Syst., 2021
Softw. Pract. Exp., 2021
Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions.
CoRR, 2021
Green-Aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions.
Mobile Edge Computing, 2021
2020
Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions.
CoRR, 2020
Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems.
CoRR, 2020
A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs).
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020
2019
ETAS: Energy and thermal-aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation.
Concurr. Comput. Pract. Exp., 2019
Proceedings of the 26th International Conference on High Performance Computing, 2019
Proceedings of the Smart Data: State-of-the-Art Perspectives in Computing and Applications, 2019
2018
2017
Proceedings of the 18th International Conference on Distributed Computing and Networking, 2017