@inproceedings{maliakel2024fligan,title={FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN},author={Maliakel, Paul Joe and Ilager, Shashikant and Brandic, Ivona},year={2024},booktitle={ACM 7th International Workshop on Edge Systems, Analytics and Networking (EdgeSys24), colocated with EuroSys24},url={https://arxiv.org/abs/2403.16930},}
2023
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
@inproceedings{ilager_dc_analysis_UCC23,author={Ilager, Shashikant and Toosi, Adel N. and Jha, Mayak Raj and Brandic, Ivona and Buyya, Rajkumar},booktitle={ IEEE/ACM 16th International Conference on Utility and Cloud Computing (UCC 23)},title={A Data-driven Analysis of a Cloud Data Center: Statistical Characterization of Workload, Energy and Temperature},year={2023},number={},pages={},doi={10.1145/3603166.3632137},location={Messina, Italy},}
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
@inproceedings{allesandro_ase23,author={Tundo, Alessandro and Mobilio, Marco and Ilager, Shashikant and Brandic, Ivona and Bartocci, Ezio and Mariani, Leonardo},title={An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge},year={2023},publisher={Association for Computing Machinery},address={Kirchberg, Luxembourg},booktitle={Proceedings of the 38th {IEEE/ACM} International Conference on Automated Software Engineering},location={Kirchberg, Luxembourg},series={ASE '23},url={http://hpc.ec.tuwien.ac.at/files/ASE_23_SelfAdaptive.pdf},}
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
@inproceedings{daniel_europar23,title={SymED: Adaptive and Online Symbolic Representation of Data on the Edge},author={Hofstätter, Daniel and Ilager, Shashikant and Lujic, Ivan and Brandic, Ivona},booktitle={Proceedings of the 29th International European Conference on Parallel and Distributed Computing (Europar)},year={2023},location={Limasol, Cyprus},organization={Springer},eprint={https://arxiv.org/pdf/2309.03014.pdf},}
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
@inproceedings{tharindu_cloud_23,author={Hewage, Tharindu B. and Ilager, Shashikant and Rodriguez, Maria A. and Arroba, Patricia and Buyya, Rajkumar},booktitle={2023 IEEE 16th International Conference on Cloud Computing (CLOUD)},title={DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets},year={2023},volume={},number={},pages={418-427},doi={10.1109/CLOUD60044.2023.00057},url={https://ieeexplore.ieee.org/abstract/document/10255015},}
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
@inproceedings{ilager_iedge_23,author={Ilager, Shashikant and De Maio, Vincenzo and Lujic, Ivan and Brandic, Ivona},booktitle={2023 IEEE International Conference on Edge Computing and Communications (EDGE)},title={Data-centric Edge-AI: A Symbolic Representation Use Case},year={2023},volume={},number={},pages={301-308},doi={10.1109/EDGE60047.2023.00052},comment_abbr={},url={https://ieeexplore.ieee.org/abstract/document/10234261},}
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
@inproceedings{fligan_edgesys_24,author={Ilager, Shashikant and De Maio, Vincenzo and Lujic, Ivan and Brandic, Ivona},booktitle={2023 IEEE International Conference on Edge Computing and Communications (EDGE)},title={Data-centric Edge-AI: A Symbolic Representation Use Case},year={2023},volume={},number={},pages={301-308},doi={10.1109/EDGE60047.2023.00052},comment_abbr={},url={https://ieeexplore.ieee.org/abstract/document/10234261},}
2022
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
@article{DBLP:journals/tmc/Tuli_ilager_TMC22,author={Tuli, Shreshth and Ilager, Shashikant and Ramamohanarao, Kotagiri and Buyya, Rajkumar},title={Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments
Using {A3C} Learning and Residual Recurrent Neural Networks},journal={{IEEE} Transaction on Mobile Computing},volume={21},number={3},pages={940--954},year={2022},doi={10.1109/TMC.2020.3017079},eprint={https://arxiv.org/abs/2009.02186},}
Workload forecasting and energy state estimation in cloud data centres: ML-centric approach
Tahseen Khan, Wenhong Tian, Shashikant Ilager, and Rajkumar Buyya
@article{khan_ilager_FGCS22,title={Workload forecasting and energy state estimation in cloud data centres: ML-centric approach},journal={Future Generation Computer Systems},volume={128},pages={320-332},year={2022},issn={0167-739X},doi={https://doi.org/10.1016/j.future.2021.10.019},author={Khan, Tahseen and Tian, Wenhong and Ilager, Shashikant and Buyya, Rajkumar},}
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
@article{khan_ilager_jnca22,title={Machine learning (ML)-centric resource management in cloud computing: A review and future directions},journal={Journal of Network and Computer Applications},volume={204},pages={103405},year={2022},issn={1084-8045},doi={https://doi.org/10.1016/j.jnca.2022.103405},author={Khan, Tahseen and Tian, Wenhong and Zhou, Guangyao and Ilager, Shashikant and Gong, Mingming and Buyya, Rajkumar},}
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
@article{XU_ilager_TNSM22,author={Xu, Minxian and Song, Chenghao and Ilager, Shashikant and Gill, Sukhpal Singh and Zhao, Juanjuan and Ye, Kejiang and Xu, Chengzhong},journal={IEEE Transactions on Network and Service Management},title={CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning},year={2022},volume={19},number={4},pages={3995-4009},doi={10.1109/TNSM.2022.3210211},}
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
@inproceedings{ilagerdemon_UCC22,author={Ilager, Shashikant and Fahringer, Jakob and Dias, Samuel Carlos de Lima and Brandic, Ivona},booktitle={2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)},title={DEMon: Decentralized Monitoring for Highly Volatile Edge Environments},year={2022},number={},location={Vancouver, Washington, USA},pages={145-150},doi={10.1109/UCC56403.2022.00026},}
2021
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
@article{DBLP:journals/tpds/Ilager_TPDS21,author={Ilager, Shashikant and Ramamohanarao, Kotagiri and Buyya, Rajkumar},title={Thermal Prediction for Efficient Energy Management of Clouds Using
Machine Learning},journal={{IEEE} Transaction on Parallel Distributed Systems},volume={32},number={5},pages={1044--1056},year={2021},doi={10.1109/TPDS.2020.3040800},}
2020
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
@inproceedings{DBLP:conf/ccgrid/Ilager_CCGRID20,author={Ilager, Shashikant and Muralidhar, Rajeev and Ramamohanarao, Kotagiri and Buyya, Rajkumar},title={A Data-Driven Frequency Scaling Approach for Deadline-aware Energy
Efficient Scheduling on Graphics Processing Units (GPUs)},booktitle={20th {IEEE/ACM} International Symposium on Cluster, Cloud and Internet
Computing, {CCGRID} 2020, Melbourne, Australia},pages={579--588},publisher={{IEEE}},year={2020},doi={10.1109/CCGrid49817.2020.00-35},}
Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems
Shashikant Ilager, Rajeev Muralidhar, and Rajkumar Buyya
@inproceedings{DBLP:journals/corr/ilager_CloudSummit2020,author={Ilager, Shashikant and Muralidhar, Rajeev and Buyya, Rajkumar},booktitle={2020 IEEE Cloud Summit},title={Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems},year={2020},volume={},number={},pages={1-10},doi={10.1109/IEEECloudSummit48914.2020.00007},}
2019
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
@article{DBLP:journals/concurrency/Ilager_CCPE_19,author={Ilager, Shashikant and Ramamohanarao, Kotagiri and Buyya, Rajkumar},title={{ETAS:} Energy and thermal-aware dynamic virtual machine consolidation
in cloud data center with proactive hotspot mitigation},journal={Concurrency and Computation: Practice and Experience},volume={31},number={17},year={2019},doi={10.1002/cpe.5221},url={https://doi.org/10.1002/cpe.5221},}
2017
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
@inproceedings{DBLP:conf/icdcn/Ilager_ICDCN17,author={Ilager, Shashikant and Prasad, P. S. V. S. Sai},title={Scalable MapReduce-based Fuzzy Min-Max Neural Network for Pattern
Classification},booktitle={Proceedings of the 18th International Conference on Distributed Computing
and Networking, Hyderabad, India, January 5-7, 2017},pages={15},publisher={{ACM}},year={2017},doi={10.1145/3007748.3007776},}
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.