Scalable MapReduce-based Fuzzy Min-Max Neural Network for Pattern Classification. - Shashikant Ilager; P. S. V. S. Sai Prasad (ICDCN, 2017)

GPU PaaS Computation Model in Aneka Cloud Computing Environment. - Shashikant Ilager; Rajeev Wankar; Raghavendra Kune; Rajkumar Buyya (CoRR, 2018)

GPU PaaS Computation Model in Aneka Cloud Computing Environments. - Shashikant Ilager; Rajeev Wankar; Raghavendra Kune; Rajkumar Buyya (Smart Data, 2019)

Multi-tier Big Data Introduction. - Vlado Stankovski; Rajkumar Buyya; Shashikant Ilager (HiPC Workshops, 2019)

ETAS: Energy and thermal-aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation. - Shashikant Ilager; Kotagiri Ramamohanarao; Rajkumar Buyya (Concurr. Comput. Pract. Exp., 2019)

A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs). - Shashikant Ilager; Rajeev Muralidhar; Kotagiri Ramamohanarao; Rajkumar Buyya (CCGRID, 2020)

Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems. - Shashikant Ilager; Rajeev Muralidhar; Rajkumar Buyya (CoRR, 2020)

Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions. - Minxian Xu; Chengxi Gao; Shashikant Ilager; Huaming Wu; Chengzhong Xu 001; Rajkumar Buyya (CoRR, 2020)

Green-Aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions. - Minxian Xu; Chengxi Gao; Shashikant Ilager; Huaming Wu; Chengzhong Xu 001; Rajkumar Buyya (Mobile Edge Computing, 2021)

Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions. - Shashikant Ilager; Rajkumar Buyya (CoRR, 2021)

Special issue: Elastic computing from edge to the cloud environments. - Shashikant Ilager; Vlado Stankovski; Shrideep Pallickara; Rajkumar Buyya (Softw. Pract. Exp., 2021)

Thermal Prediction for Efficient Energy Management of Clouds Using Machine Learning. - Shashikant Ilager; Kotagiri Ramamohanarao; Rajkumar Buyya (IEEE Trans. Parallel Distributed Syst., 2021)

Machine Learning-based Energy and Thermal Efficient Resource Management Algorithms for Cloud Data Centres. - Shashikant Ilager (2021)

DEMon: Decentralized Monitoring for Highly Volatile Edge Environments. - Shashikant Ilager; Jakob Fahringer; Samuel Carlos de Lima Dias; Ivona Brandic (UCC, 2022)

Workload forecasting and energy state estimation in cloud data centres: ML-centric approach. - Tahseen Khan; Wenhong Tian; Shashikant Ilager; Rajkumar Buyya (Future Gener. Comput. Syst., 2022)

Machine learning (ML)-centric resource management in cloud computing: A review and future directions. - Tahseen Khan; Wenhong Tian; Guangyao Zhou; Shashikant Ilager; Mingming Gong; Rajkumar Buyya (J. Netw. Comput. Appl., 2022)

Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks. - Shreshth Tuli; Shashikant Ilager; Kotagiri Ramamohanarao; Rajkumar Buyya (IEEE Trans. Mob. Comput., 2022)

CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning. - Minxian Xu; Chenghao Song; Shashikant Ilager; Sukhpal Singh Gill; Juanjuan Zhao; Kejiang Ye; Cheng-Zhong Xu 001 (IEEE Trans. Netw. Serv. Manag., 2022)

DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets. - Tharindu B. Hewage; Shashikant Ilager; Maria Alejandra Rodriguez; Patricia Arroba; Rajkumar Buyya (CLOUD, 2023)

Data-centric Edge-AI: A Symbolic Representation Use Case. - Shashikant Ilager; Vincenzo De Maio; Ivan Lujic; Ivona Brandic (EDGE, 2023)

SymED: Adaptive and Online Symbolic Representation of Data on the Edge. - Daniel Hofstätter; Shashikant Ilager; Ivan Lujic; Ivona Brandic (Euro-Par, 2023)

An Energy-Aware Approach to Design Self-Adaptive AI-based Applications on the Edge. - Alessandro Tundo; Marco Mobilio; Shashikant Ilager; Ivona Brandic; Ezio Bartocci; Leonardo Mariani (ASE, 2023)

A Data-driven Analysis of a Cloud Data Center: Statistical Characterization of Workload, Energy and Temperature. - Shashikant Ilager; Adel Nadjaran Toosi; Mayank Raj Jha; Ivona Brandic; Rajkumar Buyya (UCC, 2023)

Energy-Efficiency and Sustainability in New Generation Cloud Computing: A Vision and Directions for Integrated Management of Data Centre Resources and Workloads. - Rajkumar Buyya; Shashikant Ilager; Patricia Arroba (CoRR, 2023)

iContinuum: An Emulation Toolkit for Intent-Based Computing Across the Edge-to-Cloud Continuum. - Negin Akbari; Adel Nadjaran Toosi; John C. Grundy; Hourieh Khalajzadeh; Mohammad Sadegh Aslanpour; Shashikant Ilager (CLOUD, 2024)

FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN. - Paul Joe Maliakel; Shashikant Ilager; Ivona Brandic (EdgeSys@EuroSys, 2024)

Machine Learning in Energy and Thermal-aware Resource Management of Cloud Data Centers: A Taxonomy and Future Directions. - Shashikant Ilager; Rajkumar Buyya (FedCSIS, 2024)

Proteus: Towards Intent-driven Automated Resource Management Framework for Edge Sensor Nodes. - Shashikant Ilager; Daniel Balouek; Sidi Mohammed Kaddour; Ivona Brandic (FlexScience@HPDC, 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; Dmitry Duplyakin; Ivona Brandic; Alexandru Iosup (ICPADS, 2024)

ABBA-VSM: Time Series Classification Using Symbolic Representation on the Edge. - Meerzhan Kanatbekova; Shashikant Ilager; Ivona Brandic (ICSOC (1), 2024)

A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments. - Shashikant Ilager; Jakob Fahringer; Alessandro Tundo; Ivona Brandic (CoRR, 2024)

FRESCO: Fast and Reliable Edge Offloading with Reputation-based Hybrid Smart Contracts. - Josip Zilic; Vincenzo De Maio; Shashikant Ilager; Ivona Brandic (CoRR, 2024)

DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge. - Daniel May; Alessandro Tundo; Shashikant Ilager; Ivona Brandic (CoRR, 2024)

CloudSim express: A novel framework for rapid low code simulation of cloud computing environments. - Tharindu B. Hewage; Shashikant Ilager; Maria Alejandra Rodriguez; Rajkumar Buyya (Softw. Pract. Exp., 2024)

Generic and ML Workloads in an HPC Datacenter. - Xiaoyu Chu; Daniel Hofstätter; Shashikant Ilager; Sacheendra Talluri; Duncan Kampert; Damian Podareanu; Dmitry Duplyakin; Ivona Brandic; Alexandru Iosup (Zenodo, 2024)

Generic and ML Workloads in an HPC Datacenter. - Xiaoyu Chu; Daniel Hofstätter; Shashikant Ilager; Sacheendra Talluri; Duncan Kampert; Damian Podareanu; Dmitry Duplyakin; Ivona Brandic; Alexandru Iosup (Zenodo, 2024)

Generic and ML Workloads in an HPC Datacenter. - Xiaoyu Chu; Daniel Hofstätter; Shashikant Ilager; Sacheendra Talluri; Duncan Kampert; Damian Podareanu; Dmitry Duplyakin; Ivona Brandic; Alexandru Iosup (Zenodo, 2024)

Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference. - Tharindu B. Hewage; Shashikant Ilager; Maria Rodriguez Read; Rajkumar Buyya (e-Energy, 2025)

Investigating Efficient Edge Offloading Architectures for Serverless Systems. - Paul Daniëlse; Hsiang-Ling Tai; Shashikant Ilager; Zhiming Zhao (IPDPS (Workshops), 2025)

Investigating Energy Efficiency and Performance Trade-offs in LLM Inference Across Tasks and DVFS Settings. - Paul Joe Maliakel; Shashikant Ilager; Ivona Brandic (CoRR, 2025)

GREEN-CODE: Optimizing Energy Efficiency in Large Language Models for Code Generation. - Shashikant Ilager; Lukas Florian Briem; Ivona Brandic (CoRR, 2025)

Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems. - Tomasz Szydlo; Viacheslaw Horbanow; Devki Nandan Jha; Shashikant Ilager; Aleksander Slominski; Rajiv Ranjan 001 (CoRR, 2025)

A Framework for Carbon-Aware Real-Time Workload Management in Clouds Using Renewables-Driven Cores. - Tharindu B. Hewage; Shashikant Ilager; Maria Alejandra Rodriguez; Rajkumar Buyya (IEEE Trans. Computers, 2025)