@article{ziller2026greenserv,title={GreenServ: Energy-Efficient Context-Aware Dynamic Routing for Multi-Model LLM Inference},author={Ziller, Thomas and Ilager, Shashikant and Tundo, Alessandro and Bartocci, Ezio and Mariani, Leonardo and Brandic, Ivona},year={2026},journal={arXiv preprint arXiv:2601.17551},eprint={2601.17551},archiveprefix={arXiv},primaryclass={cs.PF},}
Characterizing LLM Inference Energy-Performance Tradeoffs across Workloads and GPU Scaling
Paul Joe
Maliakel, Shashikant
Ilager, and Ivona
Brandic
In Proceedings of the 26th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID) , 2026
@inproceedings{maliakel2025investigatingenergyefficiencyperformance,title={Characterizing LLM Inference Energy-Performance Tradeoffs across Workloads and GPU Scaling},author={Maliakel, Paul Joe and Ilager, Shashikant and Brandic, Ivona},year={2026},eprint={2501.08219},archiveprefix={arXiv},booktitle={Proceedings of the 26th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)},primaryclass={cs.LG},}
ARKV: Adaptive and Resource-Efficient KV Cache Management under Limited Memory Budget for Long-Context Inference in LLMs
Jianlong
Lei, and Shashikant
Ilager
In Proceedings of the 26th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID) , 2026
@inproceedings{JianlongLei2026ARKV,title={ARKV: Adaptive and Resource-Efficient KV Cache Management under Limited Memory Budget for Long-Context Inference in LLMs},author={Lei, Jianlong and Ilager, Shashikant},year={2026},booktitle={Proceedings of the 26th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)},}
2025
GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation
Shashikant
Ilager, Lukas Florian
Briem, and Ivona
Brandic
In Proceedings of the 25th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID) , 2025
@inproceedings{ilager2025greencode,title={GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation},author={Ilager, Shashikant and Briem, Lukas Florian and Brandic, Ivona},booktitle={Proceedings of the 25th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)},year={2025},}
Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference
Tharindu B.
Hewage, Shashikant
Ilager, Maria
Rodriguez Read, and Rajkumar
Buyya
In The 16th ACM International Conference on Future and Sustainable Energy Systems (ACM e-Energy) , 2025
@inproceedings{hewage2025agingaware,title={Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference},author={Hewage, Tharindu B. and Ilager, Shashikant and Rodriguez Read, Maria and Buyya, Rajkumar},booktitle={The 16th ACM International Conference on Future and Sustainable Energy Systems (ACM e-Energy)},year={2025},}
A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments
Shashikant
Ilager, Jakob
Fahringer, Alessandro
Tundo, and Ivona
Brandić
ACM Transactions on Autonomous and Adaptive Systems (TAAS), 2025
@article{ilager2024decentralized,title={A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments},author={Ilager, Shashikant and Fahringer, Jakob and Tundo, Alessandro and Brandi{\'c}, Ivona},journal={ ACM Transactions on Autonomous and Adaptive Systems (TAAS)},note={(to appear)},year={2025},}
FRESCO: Fast and Reliable Edge Offloading With Reputation-Based Hybrid Smart Contracts
Josip
Zilic, Vincenzo
De Maio, Shashikant
Ilager, and Ivona
Brandic
@article{zilic2025fresco,author={Zilic, Josip and De Maio, Vincenzo and Ilager, Shashikant and Brandic, Ivona},journal={IEEE Transactions on Services Computing},title={FRESCO: Fast and Reliable Edge Offloading With Reputation-Based Hybrid Smart Contracts},year={2025},volume={18},number={6},pages={3810--3823},keywords={Reliability; Servers; Blockchains; Mobile handsets; Quality of service; Engines; Smart contracts; Time factors; Reliability theory; Consensus protocol; Edge offloading; reputation; hybrid smart contract (HSC); satisfiability modulo theory (SMT)},doi={10.1109/TSC.2025.3609833},}
2024
ABBA-VSM: Time Series Classification using Symbolic Representation on the Edge.
Meerzhan
Kanatbekova, Shashikant
Ilager, and Ivona
Brandic.
In International Conference on Service-Oriented Computing Tunis, Tunisia, December 3-6, 2024 (ICSOC 2024) , 2024
@inproceedings{meerzhan_abbvsm_icsoc24,title={ABBA-VSM: Time Series Classification using Symbolic Representation on the Edge.},author={Kanatbekova, Meerzhan and Ilager, Shashikant and Brandic., Ivona},year={2024},booktitle={International Conference on Service-Oriented Computing Tunis, Tunisia, December 3-6, 2024 (ICSOC 2024)}}
Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis
Xiaoyu
Chu, Daniel
Hofstätter, Shashikant
Ilager, Sacheendra
Talluri, Duncan
Kampert, Damian
Podareanu
, and
3 more authors
In 30th International Conference on Parallel and Distributed Systems (ICPADS 2024) , 2024
@inproceedings{chu2024genericmlworkloadshpc,title={Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis},author={Chu, Xiaoyu and Hofstätter, Daniel and Ilager, Shashikant and Talluri, Sacheendra and Kampert, Duncan and Podareanu, Damian and Duplyakin, Dmitry and Brandic, Ivona and Iosup, Alexandru},year={2024},eprint={2409.08949},booktitle={30th International Conference on Parallel and Distributed Systems (ICPADS 2024)},}
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
@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},}
Proteus: Towards Intent-driven Automated Resource Management Framework for Edge Sensor Nodes
In 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures(FlexScience 2024), in conjunction with HPDC 2024, Pisa, Italy , 2024
@inproceedings{ilager2024proteus,title={Proteus: Towards Intent-driven Automated Resource Management Framework for Edge Sensor Nodes},author={},year={2024},booktitle={14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures(FlexScience 2024), in conjunction with HPDC 2024, Pisa, Italy}}
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) , Messina, Italy, 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 , Kirchberg, Luxembourg, 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) , Limasol, Cyprus, 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},}
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) , Vancouver, Washington, USA, 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.