savita khurana

Employment

• Seth Jai Parkash Mukand Lal Institute of Engineering and Technology Assistant Professor
  2008 - Present

Education

• Seth Jai Parkash Mukand Lal Institute of Engineering and Technology M.Tech
  2006 - 2008
• Shri Krishan Institute of Engineering and Technology B.Tech
  2001 - 2005
• Punjab Technical University Ph.D

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• Comparative Analysis of Machine Learning Techniques in Air Quality Index (AQI) prediction in smart cities
  International Journal of System Assurance Engineering and Management 2024 DOI: 10.1007/s13198-024-02315-w
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• A fine tune hyper parameter Gradient Boosting model for CPU utilization prediction in cloud
  2023 DOI: 10.21203/rs.3.rs-3419624/v1
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• CSFPA: An intelligent hybrid workflow scheduling algorithm based upon global and local optimization approach in cloud
  Concurrency and Computation: Practice and Experience 2022 DOI: 10.1002/cpe.7176
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• Multi‐objective reliability‐based workflow scheduler: An elastic and persuasive task scheduler based upon modified‐flower pollination algorithm in cloud environment
  Concurrency and Computation: Practice and Experience 2022 DOI: 10.1002/cpe.7150
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• Bibliometric Mapping of Trends, Applications and Challenges of Artificial Intelligence in Smart Cities
  ICST Transactions on Scalable Information Systems 2022 DOI: 10.4108/eetsis.vi.489
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• Modified flower pollination based task scheduling in cloud environment using virtual machine migration
  International Journal of Innovative Technology and Exploring Engineering 2019
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• QoS based modified bat algorithm for task scheduling in cloud
  International Journal of Engineering and Advanced Technology 2019
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• Virtual machine categorization and enhance task scheduling framework in cloud environment
  2018 International Conference on Computing, Power and Communication Technologies, GUCON 2018 2019 DOI: 10.1109/GUCON.2018.8675020
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• Workflow scheduling and reliability improvement by hybrid intelligence optimization approach with task ranking
  ICST Transactions on Scalable Information Systems 2018 DOI: 10.4108/eai.13-7-2018.161408
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