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Shashikant Ilager
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2020 – today
- 2024
- [j8]Tharindu B. Hewage
, Shashikant Ilager, Maria Alejandra Rodriguez
CloudSim express: A novel framework for rapid low code simulation of cloud computing environments. Softw. Pract. Exp. 54(3): 483-500 (2024) - [c14]Negin Akbari, Adel Nadjaran Toosi, John C. Grundy, Hourieh Khalajzadeh, Mohammad Sadegh Aslanpour, Shashikant Ilager:
iContinuum: An Emulation Toolkit for Intent-Based Computing Across the Edge-to-Cloud Continuum. CLOUD 2024: 468-474 - [c13]Paul Joe Maliakel
FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN. EdgeSys@EuroSys 2024: 1-6 - [c12]Shashikant Ilager, Rajkumar Buyya:
Machine Learning in Energy and Thermal-aware Resource Management of Cloud Data Centers: A Taxonomy and Future Directions. FedCSIS 2024: 21-34 - [c11]Shashikant Ilager
Proteus: Towards Intent-driven Automated Resource Management Framework for Edge Sensor Nodes. FlexScience@HPDC 2024: 1-8 - [c10]Xiaoyu Chu, Daniel Hofstätter, Shashikant Ilager, Sacheendra Talluri, Duncan Kampert, Damian Podareanu, Dmitry Duplyakin, Ivona Brandic, Alexandru Iosup:
Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis. ICPADS 2024: 710-719 - [i17]Paul Joe Maliakel, Shashikant Ilager, Ivona Brandic:
FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN. CoRR abs/2403.16930 (2024) - [i16]Shashikant Ilager, Jakob Fahringer, Alessandro Tundo, Ivona Brandic:
A Decentralized and Self-Adaptive Approach for Monitoring Volatile Edge Environments. CoRR abs/2405.07806 (2024) - [i15]Xiaoyu Chu, Daniel Hofstätter, Shashikant Ilager, Sacheendra Talluri, Duncan Kampert, Damian Podareanu, Dmitry Duplyakin, Ivona Brandic, Alexandru Iosup:
Generic and ML Workloads in an HPC Datacenter: Node Energy, Job Failures, and Node-Job Analysis. CoRR abs/2409.08949 (2024) - [i14]Josip Zilic, Vincenzo De Maio, Shashikant Ilager, Ivona Brandic:
FRESCO: Fast and Reliable Edge Offloading with Reputation-based Hybrid Smart Contracts. CoRR abs/2410.06715 (2024) - [i13]Meerzhan Kanatbekova, Shashikant Ilager, Ivona Brandic:
ABBA-VSM: Time Series Classification using Symbolic Representation on the Edge. CoRR abs/2410.10285 (2024) - [i12]Daniel May, Alessandro Tundo, Shashikant Ilager, Ivona Brandic:
DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge. CoRR abs/2410.23881 (2024) - 2023
- [c9]Tharindu B. Hewage, Shashikant Ilager, Maria Alejandra Rodriguez, Patricia Arroba, Rajkumar Buyya:
DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets. CLOUD 2023: 418-427 - [c8]Shashikant Ilager, Vincenzo De Maio
Data-centric Edge-AI: A Symbolic Representation Use Case. EDGE 2023: 301-308 - [c7]Daniel Hofstätter
SymED: Adaptive and Online Symbolic Representation of Data on the Edge. Euro-Par 2023: 411-425 - [c6]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: 281-293 - [c5]Shashikant Ilager
A Data-driven Analysis of a Cloud Data Center: Statistical Characterization of Workload, Energy and Temperature. UCC 2023: 12 - [i11]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 abs/2303.10572 (2023) - [i10]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 abs/2309.00022 (2023) - [i9]Daniel Hofstätter, Shashikant Ilager, Ivan Lujic, Ivona Brandic:
SymED: Adaptive and Online Symbolic Representation of Data on the Edge. CoRR abs/2309.03014 (2023) - [i8]Tharindu B. Hewage, Shashikant Ilager, Maria Alejandra Rodriguez
CloudSim Express: A Novel Framework for Rapid Low Code Simulation of Cloud Computing Environments. CoRR abs/2311.00974 (2023) - 2022
- [j7]Tahseen Khan
Workload forecasting and energy state estimation in cloud data centres: ML-centric approach. Future Gener. Comput. Syst. 128: 320-332 (2022) - [j6]Tahseen Khan
Machine learning (ML)-centric resource management in cloud computing: A review and future directions. J. Netw. Comput. Appl. 204: 103405 (2022) - [j5]Shreshth Tuli
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks. IEEE Trans. Mob. Comput. 21(3): 940-954 (2022) - [j4]Minxian Xu
CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning. IEEE Trans. Netw. Serv. Manag. 19(4): 3995-4009 (2022) - [c4]Shashikant Ilager, Jakob Fahringer, Samuel Carlos de Lima Dias, Ivona Brandic:
DEMon: Decentralized Monitoring for Highly Volatile Edge Environments. UCC 2022: 145-150 - 2021
- [j3]Shashikant Ilager
Special issue: Elastic computing from edge to the cloud environments. Softw. Pract. Exp. 51(9): 1849-1851 (2021) - [j2]Shashikant Ilager
Thermal Prediction for Efficient Energy Management of Clouds Using Machine Learning. IEEE Trans. Parallel Distributed Syst. 32(5): 1044-1056 (2021) - [p2]Minxian Xu, Chengxi Gao, Shashikant Ilager, Huaming Wu, Chengzhong Xu, Rajkumar Buyya:
Green-Aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions. Mobile Edge Computing 2021: 145-164 - [e1]Laurent Lefèvre, Stacy Patterson, Young Choon Lee, Haiying Shen, Shashikant Ilager, Mohammad Goudarzi, Adel Nadjaran Toosi, Rajkumar Buyya:
21st IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2021, Melbourne, Australia, May 10-13, 2021. IEEE 2021, ISBN 978-1-7281-9586-5 [contents] - [i7]Shashikant Ilager, Rajkumar Buyya:
Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions. CoRR abs/2107.02342 (2021) - 2020
- [c3]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: 579-588 - [i6]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 abs/2004.08177 (2020) - [i5]Shashikant Ilager, Rajeev Muralidhar, Rajkumar Buyya:
Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems. CoRR abs/2006.05075 (2020) - [i4]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 abs/2009.02186 (2020) - [i3]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 abs/2009.03598 (2020) - [i2]Shashikant Ilager, Kotagiri Ramamohanarao, Rajkumar Buyya:
Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning. CoRR abs/2011.03649 (2020)
2010 – 2019
- 2019
- [j1]Shashikant Ilager
ETAS: Energy and thermal-aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation. Concurr. Comput. Pract. Exp. 31(17) (2019) - [c2]Vlado Stankovski, Rajkumar Buyya, Shashikant Ilager:
Multi-tier Big Data Introduction. HiPC Workshops 2019: 16 - [p1]Shashikant Ilager, Rajeev Wankar, Raghavendra Kune, Rajkumar Buyya:
GPU PaaS Computation Model in Aneka Cloud Computing Environments. Smart Data 2019: 19-40 - 2018
- [i1]Shashikant Ilager, Rajeev Wankar, Raghavendra Kune, Rajkumar Buyya:
GPU PaaS Computation Model in Aneka Cloud Computing Environment. CoRR abs/1808.06332 (2018) - 2017
- [c1]Shashikant Ilager, P. S. V. S. Sai Prasad:
Scalable MapReduce-based Fuzzy Min-Max Neural Network for Pattern Classification. ICDCN 2017: 15
Coauthor Index
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last updated on 2024-12-23 20:28 CET by the dblp team
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