Shashikant Ilager

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 31

Top Topics

Resource Management

Future Directions

Cloud Computing

Machine Learning

Top Venues

Softw. Pract. Exp.

IEEE Trans. Netw. Serv. Manag.

Publications

Paul Joe Maliakel, Shashikant Ilager, Ivona Brandic
FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN. EdgeSys@EuroSys (2024)
Shashikant Ilager, Jakob Fahringer, Alessandro Tundo, Ivona Brandic
A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments. CoRR (2024)
Tharindu B. Hewage, Shashikant Ilager, Maria A. Rodriguez, Rajkumar Buyya
CloudSim express: A novel framework for rapid low code simulation of cloud computing environments. Softw. Pract. Exp. 54 (3) (2024)
Paul Joe Maliakel, Shashikant Ilager, Ivona Brandic
FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN. CoRR (2024)
Shashikant Ilager, Adel Nadjaran Toosi, Mayank Raj Jha, Ivona Brandic, Rajkumar Buyya
A Data-driven Analysis of a Cloud Data Center: Statistical Characterization of Workload, Energy and Temperature. UCC (2023)
Tharindu B. Hewage, Shashikant Ilager, Maria A. Rodriguez, Rajkumar Buyya
CloudSim Express: A Novel Framework for Rapid Low Code Simulation of Cloud Computing Environments. CoRR (2023)
Daniel Hofstätter, Shashikant Ilager, Ivan Lujic, Ivona Brandic
SymED: Adaptive and Online Symbolic Representation of Data on the Edge. CoRR (2023)
Daniel Hofstätter, Shashikant Ilager, Ivan Lujic, Ivona Brandic
SymED: Adaptive and Online Symbolic Representation of Data on the Edge. Euro-Par (2023)
Rajkumar Buyya, Shashikant Ilager, Patricia Arroba
Energy-Efficiency and Sustainability in New Generation Cloud Computing: A Vision and Directions for Integrated Management of Data Centre Resources and Workloads. CoRR (2023)
Shashikant Ilager, Vincenzo De Maio, Ivan Lujic, Ivona Brandic
Data-centric Edge-AI: A Symbolic Representation Use Case. EDGE (2023)
Alessandro Tundo, Marco Mobilio, Shashikant Ilager, Ivona Brandic, Ezio Bartocci, Leonardo Mariani
An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge. CoRR (2023)
Alessandro Tundo, Marco Mobilio, Shashikant Ilager, Ivona Brandic, Ezio Bartocci, Leonardo Mariani
An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge. ASE (2023)
Tharindu B. Hewage, Shashikant Ilager, Maria A. Rodriguez, Patricia Arroba, Rajkumar Buyya
DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets. CLOUD (2023)
Tahseen Khan, Wenhong Tian, Shashikant Ilager, Rajkumar Buyya
Workload forecasting and energy state estimation in cloud data centres: ML-centric approach. Future Gener. Comput. Syst. 128 (2022)
Minxian Xu, Chenghao Song, Shashikant Ilager, Sukhpal Singh Gill, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu
CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning. IEEE Trans. Netw. Serv. Manag. 19 (4) (2022)
Shreshth Tuli, Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks. IEEE Trans. Mob. Comput. 21 (3) (2022)
Shashikant Ilager, Jakob Fahringer, Samuel Carlos de Lima Dias, Ivona Brandic
DEMon: Decentralized Monitoring for Highly Volatile Edge Environments. UCC (2022)
Tahseen Khan, Wenhong Tian, Guangyao Zhou, Shashikant Ilager, Mingming Gong, Rajkumar Buyya
Machine learning (ML)-centric resource management in cloud computing: A review and future directions. J. Netw. Comput. Appl. 204 (2022)
Shashikant Ilager, Vlado Stankovski, Shrideep Pallickarar, Rajkumar Buyya
Special issue: Elastic computing from edge to the cloud environments. Softw. Pract. Exp. 51 (9) (2021)
Shashikant Ilager, Rajkumar Buyya
Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions. CoRR (2021)
Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya
Thermal Prediction for Efficient Energy Management of Clouds Using Machine Learning. IEEE Trans. Parallel Distributed Syst. 32 (5) (2021)
Shashikant Ilager, Rajeev Muralidhar, Kotagiri Ramamohanarao, Rajkumar Buyya
A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs). CoRR (2020)
Minxian Xu, Chengxi Gao, Shashikant Ilager, Huaming Wu, Chengzhong Xu, Rajkumar Buyya
Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions. CoRR (2020)
Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya
Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning. CoRR (2020)
Shashikant Ilager, Rajeev Muralidhar, Kotagiri Ramamohanarao, Rajkumar Buyya
A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs). CCGRID (2020)
Shashikant Ilager, Rajeev Muralidhar, Rajkumar Buyya
Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems. CoRR (2020)
Shreshth Tuli, Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C learning and Residual Recurrent Neural Networks. CoRR (2020)
Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya
ETAS: Energy and thermal-aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation. Concurr. Comput. Pract. Exp. 31 (17) (2019)
Vlado Stankovski, Rajkumar Buyya, Shashikant Ilager
Multi-tier Big Data Introduction. HiPC Workshops (2019)
Shashikant Ilager, Rajeev Wankar, Raghavendra Kune, Rajkumar Buyya
GPU PaaS Computation Model in Aneka Cloud Computing Environment. CoRR (2018)
Shashikant Ilager, P. S. V. S. Sai Prasad
Scalable MapReduce-based Fuzzy Min-Max Neural Network for Pattern Classification. ICDCN (2017)