Research

Our group works in distributed systems. We are exploring scheduling and resource allocation algorithms in fog/edge/cloud computing. We are also investigating several real-life applications where fog computing can add value. 

Research funding sources:

• Department of Science and Technology (DST), Government of India.

• Global Challenges Research Fund (GCRF). 

• National Supercomputing Mission (NSM).

• British Council India.

• Finnish Indian Consortia for Research and Education (FICORE). 

• Indo Taiwan Joint Research Center on AI and ML. 

• Oswal Group.

Research collaborations:

It has been an honour to work with many excellent colleagues from organisations, such as: Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India | Cardiff University, UK | Ontario Tech, Canada | Swinburne Institute of Technology, Australia | National University of Singapore | University of Campinas, Brazil | Commonwealth Scientific and Industrial Research Organisation  (CSIRO), Australia, and others. 

Publications

• [j17] R. Ganesan, T. Kaur, A. Mittal, M. Sahi, S. Konar, T. Samra, G. D. Puri, S. K. S. Thingnum, and N. Auluck, "Application of concept Drift Detection and Adaptive Framework for Non Linear Time Series Data from Cardiac Surgery", Computational Intelligence, Wiley, accepted, 2024.  

• [j16] Mansi Sahi, Nitin Auluck, Akramul Azim, and Md. Al-Maruf, "Dynamic Hierarchical Intrusion Detection task offloading in IoT Edge Networks", Software: Practice and Experience (SPE), Wiley, accepted, 2024. 

• [j15] Md. Al-Maruf, Mansi Sahi, Akramul Azim, and Nitin Auluck, "Optimizing DNN Training with Pipeline Model Parallelism for Enhanced Performance in Embedded Systems", Journal of Parallel and Distributed Computing (JPDC), accepted, 2024. 

• [c22] Ashish Kaushal, Osama Almurshed, Areej Alabbas, Nitin Auluck, and Omer Rana, "An Edge-Cloud Infrastructure for Weed Detection in Precision Agriculture", The 21st IEEE International Conference on Pervasive Intelligence and Computing (PiCom 2023). 

• [c21] Md. Al-Maruf, Mansi Sahi, Nitin Auluck, and Akramul Azim, "Towards Safe Online Machine Learning Model Training and Inference on Edge Networks", The 22nd IEEE International Conference on Machine Learning and Applications (ICMLA), Jacksonville, USA, December, 2023. 

• [w7] Osama Almurshed, Souham Meshoul, Asmail Muftah, Ashish Kumar Kaushal, Osama Almoghamis, Ioan Petri, Nitin Auluck and Omer Rana,  "Performance Optimization for Cross-Domain Intelligent IoT Applications", 1st International Workshop on Urgent Analytics for Distributed Computing (QuickPar), Cyprus, August 28-29, 2023 (co-located with Euro-Par 2023). 

• [j14] K. Fizza, P. Jayaraman, A. Banerjee, N. Auluck, and R. Ranjan, "IoT-QWatch : A Novel Framework to Support the Development of Quality Aware Autonomic IoT Applications", IEEE Internet of Things Journal, 2023. 

• [c20]  Areej Alabbas, Ashish Kaushal, Osama Almurshed, Omer Rana, Nitin Auluck, and Charith Perera, "Performance analysis of Apache OpenWhisk across the Edge-Cloud continuum, IEEE International Conference on Cloud Computing (IEEE Cloud), Chicago, USA, July, 2023. 

• [j13] A. Kaur and N. Auluck, "Real-Time Trust Aware Scheduling in Fog-Cloud Systems", Concurrency and Computation: Practice and Experience, Wiley, 2023.  

• [j12] S. Konar, N. Auluck, R. Ganesan, A. Goyal, T. Kaur, M. Sahi, T. Samra, S. Thingnam, and G. D. Puri, "A non-linear time series based artificial intelligence model to predict outcome in cardiac surgery", Health and Technology, Springer, 2022. 

• [j11] K. Fizza, A. Banerjee, P. Jayaraman, N. Auluck, R. Ranjan, K. Mitra, and D. Georgakopoulus, "A Survey on evaluating the Quality of Autonomic Internet of Things Applications", IEEE Communication Surveys and Tutorials, 2022. 

• [j10] A. Kaur and N. Auluck, "Scheduling Algorithms for Hierarchical Fog Networks", Journal of Software: Practice and Experience, Wiley, 2022.  

• [j9] A. Kaur, N. Auluck and O. Rana, "Real-Time scheduling on Hierarchical Heterogeneous Fog Networks", IEEE Transactions on Services Computing, 2022. 

• [c19] A. Singh, N. Auluck, O. Rana and S. Nepal, "Scheduling real-time security aware tasks in fog networks", IEEE World Congress on Services, Chicago, USA, September 5-10, 2021.

• [j8] M. Maruf, A. Singh, A. Azim and N. Auluck, "Faster fog computing based over-the-air updates: A transfer learning approach", IEEE Transactions on Services Computing, 2021.

• [w6] M. Sahi, M. Soni and N. Auluck, "Intrusion detection system on fog architecture", The Fourth International Workshop on Smart Living with IoT, CLoud and Edge Computing (SLICE 2021), Denver, USA, October 4-7, 2021 (virtual).

• [w5] M. Sahi, M. Maruf, A. Azim and N. Auluck, "A framework for partitioning support vector machine models on edge architectures", The Fourth International IEEE Workshop on Deep Learning on Edge for Smart Health and Wellbeing Applications (EDGE-DL), Irvine, CA, USA, August 23, 2021 (virtual).

• [c18] D. Ranpariya, G. Singh, A. Rattan, H. Singh and N. Auluck, "Machine learning-based Acoustic Repellent System for Protecting Crops against Wild Animal Attacks", The Fifteenth IEEE International Conference on Industrial and Information Systems (ICIIS), November 26 - 28, 2020.

• [c17] M. Sahi and N. Auluck, "An IoT based Intelligent Irrigation Management System", The Twenty-Sixth International Conference on Advanced Computing and Communications (ADCOM), December 16-18, Silchar, Assam, 2020.

• [c16] M. Maruf, A. Singh, A. Azim and N. Auluck, "Resource Efficient Allocation of Fog Nodes for faster Vehicular OTA Updates", The IEEE International Symposium on Networks, Computers and Communication (ISNCC), Montreal, Canada, 2020.

• [c15] A. Kaur and N. Auluck, "A Fog based Fire Evacuation Framework", The Eighteenth Australasian Symposium of Parallel and Distributed Computing (AUSPDC), February 3 - 7, Melbourne, Australia, 2020.

• [w4] K. Fizza, N. Auluck, A. Azim, M. Maruf and A. Singh, "Faster OTA Updates in Smart Vehicles using Fog Computing", The Eighth International ACM Workshop on Cloud and Edge Computing and Applications Management (CloudAM), Auckland, New Zealand, December, 2019.

• [j7] K. Fizza, N. Auluck and A. Azim, "Improving the Schedulability of Real-Time Tasks using Fog Computing", IEEE Transactions on Services Computing, 2019.

• [j6] A. Singh and N. Auluck, "Load Balancing Aware Scheduling Algorithms for Fog Networks", Journal of Software: Practice and Experience, Wiley, 2019.

• [j5] A. Singh, N. Auluck, O. Rana, A. Jones, S. Nepal, "Scheduling Real-Time Security Aware Tasks in Fog Networks", IEEE Transactions on Services Computing, 2019.

• [j4] S. Saroja and N. Auluck, "Multi-Criteria Decision Making for Heterogeneous Multiprocessors Scheduling", International Journal of Information Technology & Decision Making, vol. 17, no. 5, 2018.

• [c14] K. Fizza, N. Auluck, O. Rana and L. Bittencourt, "PASHE: Privacy aware Scheduling in a Heterogeneous Fog Environment", The Sixth IEEE International Conference on Future of Internet of Things and Cloud, August 6-8, Barcelona, Spain, 2018.

• [c13] K. Fizza, N. Auluck, A. Azim, "Improving the Interactivity and Security of Diabetes Data using Fog Computing (Poster)", The Ninth Student Research Conference, University of Ontario Institute of Technology, Oshawa, Canada, May 3, 2018.

• [c12] A. Singh, N. Auluck, O. Rana, A. Jones, S. Nepal, "RT-SANE: Real-Time Security aware Scheduling on the Network Edge", The Tenth IEEE/ACM International Conference on Utility & Cloud Computing (UCC), Austin, USA, December 5-8, 2017 (finalist for best paper award).

• [c11] I. Petri, O. Rana, J. Bignell, S. Nepal, and N. Auluck, "Incentivising Resource Sharing in Edge Computing Applications", The Fourteenth International Conference on Economies of Grids, Clouds, System and Services (GECON 2017), Anglet, France, September 19-21, 2017.

• [c10] J. Singh, A. Gujral, H. Singh, J. Singh, N. Auluck, “Energy Aware Scheduling on Heterogeneous Multiprocessors with DVFS & Duplication”, The Seventeenth IEEE International Conference on Parallel & Distributed Computing, Applications & Technologies (PDCAT) , Guangzhou, China, December 16 - 18, 2016.

• [c9] J. Singh, M. Pandey, E. Katiyar, R. Tulasyan, V. Gupta, N. Auluck, A Multi-objective Genetic Algorithm to Improve Power and Performance of Heterogeneous Multiprocessors, The IEEE International Conference on Parallel, Distributed & Grid Computing, Shimla, December 22 - 24, 2016 (second best paper award).

• [c8] J. Singh and N. Auluck, "Real-Time Scheduling on Heterogeneous Multiprocessor Systems", The IEEE International Conference on Parallel, Distributed & Grid Computing (PDGC 2016), Shimla, December 22-24, 2016.

• [w3] J. Singh, M. Pandey, E. Katiyar, R. Tulasyan, V. Gupta and N. Auluck, "A Multiobjective Genetic Algorithm to improve power and performance of heterogeneous multiprocessors", IEEE International Workshop on Network Computing and Data Management, Tianjin, China, August 23 - 26, 2016.

• [w2] J. Singh and N. Auluck, "Controlled duplication scheduling of real-time precedence tasks on heterogeneous multiprocessors", 19th Workshop on Job Scheduling Strategies for Parallel Processing, IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 25-29, Hyderabad, 2015.

• [j3] J. Singh, S. Betha, B. Mangipudi and N. Auluck, "Contention Aware Energy Efficient Scheduling on Heterogeneous Multiprocessors", IEEE Transactions on Parallel and Distributed Systems, Vol. 25, No. 5, 2015.

• [c7] J. Singh and N. Auluck, “ DVFS and Duplication based scheduling for optimizing Power and Performance in heterogeneous multiprocessors”, The 22nd ACM High Performance Computing Symposium, April 2014, Tampa, USA.

• [c6] J. Singh, B. Mangipudi, B. Sandeep and N. Auluck, "Restricted duplication based MILP formulation for scheduling task graphs on unrelated parallel machines", The IEEE International Symposium on Parallel Architectures, Algorithms and Programming, Dec. 17-20, 2012, Taipei, Taiwan, pp. 202 - 209.

• [c5] J. Singh and N. Auluck, "Controlled Duplication for Scheduling Real-Time Precedence Tasks on Heterogeneous Multiprocessors", The IEEE High Performance Computing Conference (HiPC), Student Research Symposium, December 18 - 21, 2011, Bengaluru, India.

• [c4] N. Auluck, "A Theoretical Framework for Improving the Schedulability of Hard and Soft Real-time Tasks on Heterogeneous Network of Workstations (NOWs)", The Third IEEE International Conference on Electronics and Computer Technology, ICECT 2011, Kanyakumari, India, pp. 277 - 282.

• [j2] N. Auluck and D. P. Agrawal, "Enhancing the Schedulability of Real-Time Heterogeneous Network of Workstations (NOWs)," IEEE Transactions on Parallel and Distributed Systems, Vol. 20, No. 11, November, 2009, pp. 1586-1599 .

• [j1] N. Auluck, "Improving the Schedulability of Hybrid Real-Time Heterogeneous Network of Workstations", International Society of Advanced Science and Teachnology (ISAST) Transactions on Computers and Intelligent Systems, 2009. 

• [c3] N. Auluck, "Duplication Based Integrated Scheduling of Hard and Soft Real-Time Tasks and Messages on Precedence Related Heterogeneous Network of Workstations (NOWs)," The Tenth IEEE High Assurance Systems Engineering Symposium, November 14-16, 2007, Dallas, Texas, USA, pp. 429-430.

• [c2] N. Auluck and D. P. Agrawal, "An Integrated Scheduling Algorithm for Precedence Constrained Hard and Soft Real-Time Tasks on Heterogeneous Multiprocessors," The International Conference on Embedded and Ubiquitous Computing (EUC, 2004), August 25-27, Aizu, Japan, pp. 196-206.

• [w1] N. Auluck and D. P. Agrawal, "A Scalable Task Duplication based Algorithm for improving the Schedulability of Real-Time Heterogeneous Multiprocessor Systems", Proceedings of the International Conference on Parallel Processing (ICPP): Second International Workshop on Compile/Run-time techniques for Parallel Computing, October 6 - 9, 2003, Kaohsiung, Taiwan. 

• [c1] N. Auluck and D. P. Agrawal, "Reliability Driven Non-Preemptive Real-Time Scheduling on Heterogeneous Systems", Fourteenth International Conference on Parallel and Distributed Computing and Systems (PDCS), November 4-6, 2002, MIT, Cambridge, USA, pp. 803 - 809.