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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, 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. , GPU PaaS Computation Model in Aneka Cloud Computing Environments
Shashikant Ilager, Rajeev Muralidhar, and Rajkumar Buyya, In Artificial Intelligence (AI)-Centric Management of Resources in Modern Distributed Computing Systems, Proceedings of the IEEE Cloud Summit, Harrisbury, Pennsylvania, USA, October 21-22, 2020.
Shashikant Ilager, Rajeev Muralidhar, Rammohanrao Kotagiri and Rajkumar Buyya, , Proceedings of the 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2020), Melbourne, Australia, May 11-14, 2020.[ A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on Graphics Processing Units (GPUs) ] Best Paper Award
Shashikant Ilager, Prasad, P. S. V. S, In . Scalable MapReduce-based Fuzzy Min-Max Neural Network for Pattern Classification Proceedings of the 18th ACM International Conference on Distributed Computing and Networking (ICDCN 2017) , Hyderabad, India, January 2017.
Shashikant Ilager, Kotagiri Ramamohanarao, and Rajkumar Buyya, IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume ?, No. ?, Pages: ??, ISSN: 1045-9219, IEEE CS Press, USA (in press, accepted on Nov. 13, 2020). Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning , Shreshth Tuli,
Shashikant Ilager, Kotagiri Ramamohanarao, and Rajkumar Buyya, IEEE Transactions on Mobile Computing,Volume ?, Number ?, Pages: ??, ISSN: 1536-1233, IEEE Computer Society Press, USA (in press, accepted on Aug 13, 2020). Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments using A3C Learning and Residual Recurrent Neural Networks,
Shashikant Ilager, Kotagiri Ramamohanarao, and Rajkumar Buyya, , Concurrency and Computation: Practice and Experience (CCPE), Volume 31, No. 17, Pages: 1-15, ISSN: ETAS: Energy and Thermal-Aware Dynamic Virtual Machine Consolidation in Cloud Data Center with Proactive Hotspot Mitigation 1532-0626, Wiley Press, New York, USA, September 2019.