Shashikant Ilager

Orcid: 0000-0003-1178-6582

According to our database1, Shashikant Ilager authored at least 33 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

DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge.
CoRR, 2024

ABBA-VSM: Time Series Classification using Symbolic Representation on the Edge.
CoRR, 2024

FRESCO: Fast and Reliable Edge Offloading with Reputation-based Hybrid Smart Contracts.
CoRR, 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

Machine Learning in Energy and Thermal-aware Resource Management of Cloud Data Centers: A Taxonomy and Future Directions.
Proceedings of the 19th Conference on Computer Science and Intelligence Systems, 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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