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Mr. Manjunatha S

Associate Professor

Department of CSE

Research Area

  • Cloud Computing


Mr. Manjunatha S is an Associate Professor in the Department of CSE. His academic interests include Cloud Computing, Big Data, Artificial Intelligence, NLP, Machine learning, Block chain Technology, Computer Graphics, Unix System Programming, Unix Shell Programming and System Software. He also focuses on research in Resource optimization in cloud Data Centers.

He holds a B.E. degree in CSE from Visvesvaraya Technological University and M.Tech degree in CSE from the Visvesvaraya Technological University and currently pursuing Ph.D. under Visvesvaraya Technological University. He has participated in various workshops and faculty development programs held by various colleges. He has been a resource person for workshops and technical talks.

He has around 16 years of teaching experience and is associated with Cambridge Institute of Technology from 2014.

Guided B.E. and M.Tech students in project dissertations in Machine Learning and Cloud Computing.

Academic Degrees

  • Pursuing Ph.D., VTU
  • M.Tech, Computer Science and Engineering, VTU, 2009.
  • B.Tech. Information Science and Engineering, VTU, 2004.

Awards and Honors

  • BEST PAPER AWARD for “Scheduling and Migration of VMs using Resource Management Consolidation Methods on CloudSim Framework” at the INTERNATIONAL CONFERENCE ON EMERGING TRENDS AND CHALLENGES IN APPLIED SCIENCE, ENGINEERING AND TECHNOLOGY (ICECAET-2020)


  1. Manjunath S, Optimal Min-Communication and Migration Cost Algorithm based Approach for Efficient Task Migration in Cloud Computing, 2021 International Conference on Circuits, Controls and Communications (CCUBE) – 2022
  2. Manjunath S, Minimization of Energy Using Heuristic Resource Allocation and Migration for Cloud Computing, International Journal of Knowledge and Systems Science (IJKSS) 12 (1), 74-83 – 2021
  3. Manjunath S, Improving Energy Efficiency using Optimized Energy Model Virtual Machine Algorithm in Cloud Computing, Journal of Interconnection Networks – 2022.
  4. A Comprehensive Review Of Predictive VM Migration Schemes Using Forecasting Techniques In Cloud Computing, Solid State Technology – 2020
  5. Scheduling and Migration of VMs using Resource Management Consolidation Methods on CloudSim Framework, International Institute of Organized Research (I2OR) | India – 2020
  6. Manjunatha S, M S Apoorva N, Ashwini C Y, Ashwini S Optimized Resource Management and Allocation using Threshold based Scheduler in Virtualized Cloud Data Centers, , International Journal of Engineering Research & Technology (IJERT) – 2020. 
  7. Manjunatha S, A Study on Consolidation of Data Servers in Virtualized Cloud Atmosphere, International Journal of Computer Science and Engineering – 2019
  8. Manjunatha S, A Detailed survey on various cloud computing simulators, – 2016
  9. Manjunatha S, Generation of migration list of media streaming applications for resource allocation in cloud computing, International Journal of Engineering Research – 2015
  10. Manjunatha S, Secure way of storing data in cloud using third party auditor, IOSR Journal of Computer Engineering – 2013.
  11. Manjunatha S, A secure cloud with additional layer of protection and user authentication, International Journal of Computer Science and Mobile Computing – 2013. 
  12. Manjunatha S, Efficient E-MRZT algorithm based tree construction technique for ZigBeemobile wireless networks, International Journal of Smart Sensors and Ad Hoc Networks 2 (Issue. 3,4) – 2012.


  • AI and IoT enabled Energy efficient allocation of virtual machines in cloud data centers – 2022.