IoT Cloud Research Laboratory

Research Publications

  1. S.Vengadeswaran and S.R.Balasundaram, “CORE - An Optimal Data Placement Strategy in Hadoop for Data Intensive Applications based on COhesion RElation”, International Journal of Computer Systems Science and Engineering, vol.34, no.1, CRL Publishers, 2019.
  2. S.Vengadeswaran and S.R.Balasundaram, “Significance of Hierarchical and Markov Clustering in Grouping Aware Data Placement for Data Intensive Applications Having Interest Locality”, Scalable Computing: Practice and Experience Journal, vol.19, no.3, pp.245-257, 2018.
  3. S.Vengadeswaran and S.R.Balasundaram, “An Optimal Data Placement Strategy for Improving System Performance of Massive Data Applications Using Graph Clustering”, International Journal of Ambient Computing and Intelligence, vol.9, no.3, pp.15-30, IGI, 2018.
  4. S.Vengadeswaran and S.R.Balasundaram, “CLUST - Grouping Aware Data Placement for Improving the Performance of Large-Scale Data Management System”, International Conference on Data Science & Management of Data (CoDS-COMAD), organized by IIITH and ISB, ACM, Jan 2020.
  5. S.Vengadeswaran and S.R.Balasundaram, “Significance of Hierarchical and Partitioning based Clustering in Grouping Aware Data Placement for Data Intensive Applications”, In National Conference on Parallel Computing Technologies (PARCOMPTECH), organized by CDAC & DeitY at IISC, IEEE, Feb 2017.
  6. S.Vengadeswaran and K.Geetha, “Symbolic execution- An efficient approach for test case generation”, In International Conference on Recent Trends in Information Technology (ICRTIT), pp. 575-581, organized by MIT campus AU, IEEE, 2013.
  7. S.Vengadeswaran and S.R.Balasundaram, “Grouping-Aware Data Placement in HDFS for Data-Intensive Applications Based on Graph Clustering”, AISC book series, pp. 21-31, Springer, 2018.
  8. G. Mali, S. Das, H. Rahaman, and C. Giri, “Non-preemptive test scheduling for Network-on-Chip (NoC) based systems by reusing NoC as TAM,” In IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), pp. 268-271, 2010.
  9. G. Mali and S. Misra, “Topology Management-Based Distributed Camera Actuation in Wireless Multimedia Sensor Networks,” ACM Transactions on Autonomous and Adaptive Systems, vol. 12, no. 1, article no. 2, 2017.
  10. G. Mali and S. Misra, “TRAST: Trust-Based Distributed Topology Management for Wireless Multimedia Sensor Networks,” IEEE Transactions on Computers, vol. 65, no. 6, pp. 1978–1991, 2016.
  11. S. Misra, G. Mali, and A. Mondal, “Distributed Topology Management for Wireless Multimedia Sensor Networks: Exploiting Connectivity and Cooperation,” International Journal of Communication Systems (Wiley), vol. 28, no. 7, pp. 1367–1386, 2015.
  12. Shajulin Benedict, Serverless Blockchain Enabled Architecture for IoT Societal Applications, in IEEE Transactions on Computational Social Systems, Vol. 7, No. 5, pp. 1146-1158, doi:10.1109/TCSS.2020.3008995 , 2020.
  13. Nishant Saurabh, Shajulin Benedict, Jorge G.Barbosa, Radu Prodan, Expelliarmus: Semantic-Centric Virtual Machine Image Management in IaaS Clouds, in Journal of Parallel and Distributed Computing (Elsevier), Vol. 146, DOI: https://doi.org/10.1016/j.jpdc.2020.08.001 pp. 107-121, 2020.
  14. Ennio Torre, Juan J. Durillo, Vincenzo de Maio, Prateek Agrawal, Shajulin Benedict, Nishant Saurabh, Radu Prodan, A Dynamic Evolutionary Multi-Objective Virtual Machine Placement Heuristic for Cloud Data Centers, in Information and Software Technology, Vol. 128, No. 106390, pp. 1-12, DOI: https://doi.org/10.1016/j.infsof.2020.106390 Elsevier, Dec. 2020.
  15. Shajulin Benedict (2018), Prediction Assisted Runtime Based Energy Tuning Mechanism for HPC Applications, in Sustainable Computing, Informatics and Systems, Elsevier, Vol.19, pp.43-51, https://doi.org/10.1016/j.suscom.2018.06.004, 2018.
  16. A Stephen, Shajulin Benedict, RPA Kumar, Monitoring IaaS using various cloud monitors, in Cluster Computing, Vol. 22, No. 5, pp. pp 12459�12471, https://doi.org/10.1007/s10586-017-1657-y, Springer, 2019.
  17. Rejitha R.S., Shajulin Benedict, Suja A.Alex, and Shany Infanto (2017), 'Energy Prediction of CUDA Application Instances using Dynamic Regression Models', in Computing-Springer, DOI:10.1007/s00607-016-0534-5, pp.1-26, 2017.
  18. Matthias Janetschek, Radu Prodan, and Shajulin Benedict (2017), 'A Workflow Runtime Environment for Manycore Parallel Architectures', FGCS, Elsevier, DOI: http://dx.doi.org/10.1016/j.future.2017.02.029, Vol. 75, pp. 330-347, 2017.
  19. Vincenzo Di Maio, Radu Prodan, Shajulin Benedict, Gabor Kecskemeti (2016), 'Modelling energy consumption of network transfers and virtual machine migration', in FGCS-Elsevier (March 2016), Vol. 56, doi:10.1016/j.future.2015.07.007, pp. 388-406, 2016.
  20. Shajulin Benedict and M.Gerndt (2014), 'Scalability and Performance Analysis of OpenMP Codes Using the Periscope Toolkit', in Computing and Informatics, Vol. 33, No. 4, pp. 921 - 942, 2014.
  21. Shajulin Benedict (2013), 'Performance Issues and Performance Analysis Tools for HPC Cloud Applications: A Survey, Computing Journal, Vol. 95, No. 2, pp 89-108, DOI 10.1007/s00607-012-0213-0 Springer, 2013.
  22. Shajulin Benedict (2012), 'Energy-Aware Performance Analysis Methodologies for HPC Architectures - An Exploratory Study' Vol. 35, No. 6, Journal of Network and Computer Applications, Elsevier, 10.1016/j.jnca.2012.08.003, pages 1709 - 1719, November 2012.
  23. Shajulin Benedict, Energy-Aware Edge Intelligence for Dynamic Intelligent Transportation System, in 10th IACC 2020, Communications in Computer and Information Science, Vol 1368, pp.132-151, Springer, DOI: https://doi.org/10.1007/978-981-16-0404-1_11 2021.
  24. Shivendra Singh and Shajulin Benedict, Indian Semi-Acted Facial Expression (iSAFE) Dataset for Human Emotions Recognition, in LNCS Springer Conference, SIRS 2019, India (BEST PAPER AWARD), DOI: https://doi.org/10.1007/978-981-15-4828-4_13 , Vol.1209, 2020.
  25. Shajulin Benedict, Rejitha R.S., and C.Bright, 'Energy Consumption Analysis of HPC Applications using NoSQL Database Feature of EnergyAnalyzer', in Intelligent Cloud Computing, LNCS, Springer, Vol. 8993, DOI:10.1007/978-3-319-19848-4_7, pp. 103-118, 2015.
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