Shashikant Ilager

Orcid: 0000-0003-1178-6582

According to our database1, Shashikant Ilager authored at least 29 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN.
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

An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

SymED: Adaptive and Online Symbolic Representation of Data on the Edge.
Proceedings of the Euro-Par 2023: Parallel Processing - 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28, 2023

Data-centric Edge-AI: A Symbolic Representation Use Case.
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
CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning.
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

DEMon: Decentralized Monitoring for Highly Volatile Edge Environments.
Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022

2021
Thermal Prediction for Efficient Energy Management of Clouds Using Machine Learning.
IEEE Trans. Parallel Distributed Syst., 2021

Special issue: Elastic computing from edge to the cloud environments.
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

Multi-tier Big Data Introduction.
Proceedings of the 26th International Conference on High Performance Computing, 2019

GPU PaaS Computation Model in Aneka Cloud Computing Environments.
Proceedings of the Smart Data: State-of-the-Art Perspectives in Computing and Applications, 2019

2018
GPU PaaS Computation Model in Aneka Cloud Computing Environment.
CoRR, 2018

2017
Scalable MapReduce-based Fuzzy Min-Max Neural Network for Pattern Classification.
Proceedings of the 18th International Conference on Distributed Computing and Networking, 2017


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