Prof. Dr. Inderveer Chana

Professor
Thapar University, India

Highest Degree
Ph.D. in Computer Science Engineering from Thapar University, India

My URL
https://livedna.org/91.19220

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Area of Interest:

Computer Sciences
Software Engineering
Cloud Computing
Grid Computing
Network Science

Selected Publications

  1. Singh, S., I. Chana and M. Singh, 2017. The journey of QoS-aware autonomic cloud computing. IT Professional, 19: 42-49.
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  2. Gill, S.S., I. Chana and R. Buyya, 2017. IoT based agriculture as a cloud and big data service: The beginning of digital India. J. Organ. End User Comput., 29: 1-23.
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  3. Singh, S., I. Chana, M. Singh and R. Buyya, 2016. SOCCER: Self-optimization of energy-efficient cloud resources. Cluster Comput., 19: 1787-1800.
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  4. Singh, S. and I. Chana, 2016. Resource provisioning and scheduling in clouds: QoS perspective. J. Supercomputing, 72: 926-960.
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  5. Singh, S. and I. Chana, 2016. EARTH: Energy-aware autonomic resource scheduling in cloud computing. J. Intell. Fuzzy Syst., 30: 1581-1600.
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  6. Singh, S. and I. Chana, 2016. A survey on resource scheduling in cloud computing: Issues and challenges. J. Grid Comput., 14: 217-264.
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  7. Rathore, N.K. and I. Chana, 2016. Job migration policies for grid environment. Wireless Personal Commun., 89: 241-269.
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  8. Kaur, T. and I. Chana, 2016. Energy aware scheduling of deadline-constrained tasks in cloud computing. Cluster Comput., 19: 679-698.
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  9. Kansal, N.J. and I. Chana, 2016. Energy-aware virtual machine migration for cloud computing-a firefly optimization approach. J. Grid Comput., 14: 327-345.
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  10. Chawla, P., I. Chana and A. Rana, 2016. Cloud-based automatic test data generation framework. J. Comput. Syst. Sci., 82: 712-738.
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  11. Bala, A. and I. Chana, 2016. Prediction-based proactive load balancing approach through VM migration. Eng. Comput., 32: 581-592.
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  12. Singh, S. and I. Chana, 2015. QRSF: QoS-aware resource scheduling framework in cloud computing. J. Supercomputing, 71: 241-292.
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  13. Singh, S. and I. Chana, 2015. Q-aware: Quality of service based cloud resource provisioning. Comput. Electr. Eng., 47: 138-160.
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  14. Singh, S. and I. Chana, 2015. Cloud resource provisioning: survey, status and future research directions. Knowledge Inf. Syst., 49: 1005-1069.
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  15. Rathore, N. and I. Chana, 2015. Variable threshold-based hierarchical load balancing technique in Grid. Eng. Comput., 31: 597-615.
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  16. Kansal, N.J. and I. Chana, 2015. Artificial bee colony based energy‐aware resource utilization technique for cloud computing. Concurrency Comput. Pract. Exper., 27: 1207-1225.
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  17. Chawla, P., I. Chana and A. Rana, 2015. A novel strategy for automatic test data generation using soft computing technique. Frontiers Comput. Sci., 9: 346-363.
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  18. Chawla, C. and I. Chana, 2015. Day-ahead pricing model for smart cloud using time dependent pricing. Int. Journal Comput. Network Inf. Secur., 7: 9-11.
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  19. Bala, A. and I. Chana, 2015. Intelligent failure prediction models for scientific workflows. Expert Syst. Applic., 42: 980-989.
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  20. Bala, A. and I. Chana, 2015. Autonomic fault tolerant scheduling approach for scientific workflows in Cloud computing. Concurr. Eng., 23: 27-39.
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  21. Aron, R., I. Chana and A. Abraham, 2015. A hyper-heuristic approach for resource provisioning-based scheduling in grid environment. J. Supercomput., 71: 1427-1450.
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  22. Singh, S. and I. Chana, 2014. Energy based efficient resource scheduling: a step towards green computing. Int. J. Energy Inf. Commun., 5: 35-52.
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  23. Rathore, N.K. and I. Chana, 2014. Job migration with fault tolerance and QoS scheduling using hash table functionality in social grid computing. J. Intelligent Fuzzy Syst., 26: 21-35.

  24. Rathore, N. and I. Chana, 2014. Load balancing and job migration techniques in grid: A survey of recent trends. Wireless Pers. Commun., 79: 2089-2125.
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  25. Kaur, P.D. and I. Chana, 2014. Cloud based intelligent system for delivering health care as a service. Comput. Methods Programs Biomed., 113: 346-359.
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  26. Kaur, P.D. and I. Chana, 2014. A resource elasticity framework for QoS-aware execution of cloud applications. Future Gen. Comput. Syst., 37: 14-25.
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  27. Jain, N. and I. Chana, 2014. Energy efficient and high performance scheduling algorithm for grid computing. Int. J. Cloud Comput. Serv. Sci., 3: 179-188.
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  28. Chana, I. and T. Kaur, 2014. Resource scheduling techniques in utility computing: A survey. Int. J. Syst. Service-Oriented Eng., 4: 44-65.

  29. Aron, R. and I. Chnna, 2014. Grid scheduling heuristic methods: State of the art. Int. J. Comput. Inf. Syst. Ind. Manage. Applic., 6: 466-473.
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  30. Singh, S. and I. Chana, 2013. Introducing agility in cloud based software development through ASD. Int. J. u e Serv. Sci. Technol., 6: 191-202.
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  31. Singh, S. and I. Chana, 2013. Cloud based development issues: A methodical analysis. Int. J. Cloud Comput. Serv. Sci., 2: 291-302.

  32. Singh, S. and I. Chana, 2013. Advance billing and metering architecture for infrastructure as a service. Int. J. Cloud Comput. Serv. Sci., 2: 123-133.
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  33. Sandhu, R. and I. Chana, 2013. Securing virtual machines in cloud environment using OVF. Int. J. Adv. Comput. Sci. Applic., 3: 7-11.

  34. Sandhu, R. and I. Chana, 2013. Cloud computing standardization initiatives: State of play. Int. J. Cloud Comput. Serv. Sci., 2: 351-362.
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  35. Rathore, N. and I. Chana, 2013. Report on hierarchal load balancing technique in grid environment. J. Inf. Technol., 2: 21-35.
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  36. Kaur, T. and I. Chana, 2013. Power-aware virtual machine scheduling-policy for virtualized heterogeneous multicore systems. Int. J. Adv. Comput. Sci. Applic., 3: 109-114.

  37. Chana, I., 2013. Bacterial foraging based hyper-heuristic for resource scheduling in grid computing. Future Gen. Comput. Syst., 29: 751-762.
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  38. Aron, R. and I. Chana, 2013. QoS based resource provisioning and scheduling in grids. J. Supercomputing, 66: 262-283.
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  39. Singh, S. and I. Chana, 2012. Enabling reusability in agile software development. Int. J. Comput. Appl., 50: 33-40.
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  40. Priyanka, I. Chana and A. Rana, 2012. Empirical evaluation of cloud-based testing techniques: A systematic review. ACM SIGSOFT Software Eng., 37: 1-9.

  41. Mann, D. and I. Chana, 2012. Heterogeneous workload consolidation for efficient management of data centers in cloud computing. Int. J. Comput. Applic., 50: 13-17.

  42. Kansal, N.J. and I. Chana, 2012. Cloud load balancing techniques: A step towards green computing. Int. J. Comput. Sci. Issues, 9: 238-246.
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  43. Kansal, J.N. and I. Chana, 2012. Existing load balancing techniques in cloud computing: A systematic review. J. Inf. Syst. Commun., 3: 87-91.

  44. Bala, A. and I. Chana, 2012. Fault tolerance-challenges, techniques and implementation in cloud computing. Int. J. Comput. Sci., 9: 238-246.

  45. Aron, R. and I. Chana, 2012. Formal QoS policy based grid resource provisioning framework. J. Grid Comput., 10: 249-264.

  46. Chana, I. and S. Bawa, 2010. Extending self-healing in grid environment by pulse monitoring. Multiagent Grid Syst., 6: 245-260.
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  47. Chana, I. and S. Bawa, 2008. PRATHAM: A framework for resource management in grid environment. Int. J. Adv. Comput. Eng., 1: 45-55.

  48. Chana, I. and S. Bawa, 2008. Incorporating enhanced resource provisioning in a grid resource management system. Int. Trans. Syst. Sci. Applic., 3: 378-386.

  49. Chana, I. and S. Bawa, 2007. Self-managed resource model with resource provisioning capability for a grid environment. Adv. Comput. Optim. Tech., 2: 229-241.

  50. Chana, I. and S. Bawa, 2006. Grid middleware technologies and OGSA: A comparative study. Int. Rev. Comput. Software, 1: 202-208.
Member since October, 2017