The publications are in reversed chronological order. The full list of updated publications can be found on my Google scholar profile

Conference and Journal Publications


  1. FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN
    Paul Joe Maliakel, Shashikant Ilager, and Ivona Brandic
    In ACM 7th International Workshop on Edge Systems, Analytics and Networking (EdgeSys24), colocated with EuroSys24, 2024


  1. A Data-driven Analysis of a Cloud Data Center: Statistical Characterization of Workload, Energy and Temperature
    Shashikant Ilager, Adel N. Toosi, Mayak Raj Jha, Ivona Brandic, and Rajkumar Buyya
    In IEEE/ACM 16th International Conference on Utility and Cloud Computing (UCC 23), 2023
  2. An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge
    Alessandro Tundo, Marco Mobilio, Shashikant Ilager, Ivona Brandic, Ezio Bartocci, and Leonardo Mariani
    In Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
  3. SymED: Adaptive and Online Symbolic Representation of Data on the Edge
    Daniel Hofstätter, Shashikant Ilager, Ivan Lujic, and Ivona Brandic
    In Proceedings of the 29th International European Conference on Parallel and Distributed Computing (Europar), 2023
  4. DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets
    Tharindu B. Hewage, Shashikant Ilager, Maria A. Rodriguez, Patricia Arroba, and Rajkumar Buyya
    In 2023 IEEE 16th International Conference on Cloud Computing (CLOUD), 2023
  5. Data-centric Edge-AI: A Symbolic Representation Use Case
    Shashikant Ilager, Vincenzo De Maio, Ivan Lujic, and Ivona Brandic
    In 2023 IEEE International Conference on Edge Computing and Communications (EDGE), 2023
  6. Data-centric Edge-AI: A Symbolic Representation Use Case
    Shashikant Ilager, Vincenzo De Maio, Ivan Lujic, and Ivona Brandic
    In 2023 IEEE International Conference on Edge Computing and Communications (EDGE), 2023


  1. Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks
    Shreshth Tuli, Shashikant Ilager, Kotagiri Ramamohanarao, and Rajkumar Buyya
    IEEE Transaction on Mobile Computing, 2022
  2. Workload forecasting and energy state estimation in cloud data centres: ML-centric approach
    Tahseen Khan, Wenhong Tian, Shashikant Ilager, and Rajkumar Buyya
    Future Generation Computer Systems, 2022
  3. Machine learning (ML)-centric resource management in cloud computing: A review and future directions
    Tahseen Khan, Wenhong Tian, Guangyao Zhou, Shashikant Ilager, Mingming Gong, and Rajkumar Buyya
    Journal of Network and Computer Applications, 2022
  4. CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning
    Minxian Xu, Chenghao Song, Shashikant Ilager, Sukhpal Singh Gill, Juanjuan Zhao, Kejiang Ye, and 1 more author
    IEEE Transactions on Network and Service Management, 2022
  5. DEMon: Decentralized Monitoring for Highly Volatile Edge Environments
    Shashikant Ilager, Jakob Fahringer, Samuel Carlos de Lima Dias, and Ivona Brandic
    In 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), 2022


  1. Thermal Prediction for Efficient Energy Management of Clouds Using Machine Learning
    Shashikant Ilager, Kotagiri Ramamohanarao, and Rajkumar Buyya
    IEEE Transaction on Parallel Distributed Systems, 2021


  1. A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs)
    Shashikant Ilager, Rajeev Muralidhar, Kotagiri Ramamohanarao, and Rajkumar Buyya
    In 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGRID 2020, Melbourne, Australia, 2020
  2. Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems
    Shashikant Ilager, Rajeev Muralidhar, and Rajkumar Buyya
    In 2020 IEEE Cloud Summit, 2020


  1. ETAS: Energy and thermal-aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation
    Shashikant Ilager, Kotagiri Ramamohanarao, and Rajkumar Buyya
    Concurrency and Computation: Practice and Experience, 2019


  1. Scalable MapReduce-based Fuzzy Min-Max Neural Network for Pattern Classification
    Shashikant Ilager, and P. S. V. S. Sai Prasad
    In Proceedings of the 18th International Conference on Distributed Computing and Networking, Hyderabad, India, January 5-7, 2017, 2017

Other publications

Book Chapters

  • Mohammad Goudarzi, Shashikant Ilager, and Rajkumar Buyya, Cloud Computing and Internet of Things: Recent Trends and Directions, New Frontiers in Cloud Computing and Internet of Things, R. Buyya, L. Garg, G. Fortino, S. Misra (eds), 3-29pp, ISBN: 978-3-031-05527-0, Springer, Switzerland, October 2022.

  • Minxian Xu, Chengxi Gao, Shashikant Ilager, Huaming Wu, Chengzhong Xu, and Rajkumar Buyya, Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions, Mobile Edge Computing (MEC), A. Mukherjee, D. De, S. K. Ghosh, and R. Buyya (eds), Springer, USA (in press), 2020.

  • Shashikant Ilager, Rajeev Wankar, Raghavendra Kune, and Rajkumar Buyya, GPU PaaS Computation Model in Aneka Cloud Computing Environments, Smart Data: State-of-the-Art Perspectives in Computing and Applications, K. Li, Q. Zhang, L. Yang, B. Martino (eds), ISBN-13: 978-1138545588, Chapman & Hall/CRC Press, USA, March 28, 2019.