Scheduling Algorithm: Tasks Scheduling Algorithm for Multiple Processors with Dynamic Reassignment. - Pradeep Kumar Yadav; Mahipal P. Singh; Harendra Kumar (J. Comput. Networks Commun., 2008)

Dynamic Tasks Scheduling Model for Performance Evaluation of a Distributed Computing System through Artificial Neural Network. - Mahipal P. Singh; Pradeep Kumar Yadav; Harendra Kumar; Babita Agarwal (SocProS (1), 2011)

Dynamic Tasks Scheduling Algorithm for Distributed Computing Systems under Fuzzy Environment. - Harendra Kumar; Nutan Kumari Chauhan; Pradeep Kumar Yadav (Int. J. Fuzzy Syst. Appl., 2016)

High Performance Metadata Integrity Protection in the WAFL Copy-on-Write File System. - Harendra Kumar; Yuvraj Patel; Ram Kesavan; Sumith Makam (FAST, 2017)

Efficient content based image retrieval using SVM and color histogram. - Shiraaz Saad; Harendra Kumar; Tribhuwan Kumar Tewari (IC3, 2017)

WAFL Iron: Repairing Live Enterprise File Systems. - Ram Kesavan; Harendra Kumar; Sushrut Bhowmik (FAST, 2018)

A task allocation model for minimising system cost and maximising reliability of distributed computing system. - Harendra Kumar; Nutan Kumari Chauhan; Pradeep Kumar Yadav (Int. J. Commun. Networks Distributed Syst., 2018)

A High Performance Model for Task Allocation in Distributed Computing System Using K-Means Clustering Technique. - Harendra Kumar; Nutan Kumari Chauhan; Pradeep Kumar Yadav (Int. J. Distributed Syst. Technol., 2018)

Solving Flow Shop Scheduling Problems with Blocking by using Genetic Algorithm. - Harendra Kumar; Pankaj Kumar; Manisha Sharma (Int. J. Appl. Logist., 2019)

Implementation and Comparative Analysis of k-means and Fuzzy c-means Clustering Algorithms for Tasks Allocation in Distributed Real Time System. - Harendra Kumar; Isha Tyagi (Int. J. Embed. Real Time Commun. Syst., 2019)

Optimisation of makespan of a flow shop problem using multi layer neural network. - Harendra Kumar; Shailendra Giri (Int. J. Comput. Sci. Math., 2020)

Task Allocation Model Based on Hierarchical Clustering and Impact of Different Distance Measures on the Performance. - Harendra Kumar; Isha Tyagi (Int. J. Fuzzy Syst. Appl., 2020)

A New Approach for Solving the Flow Shop Scheduling Problem Through Neural Network Technique With Known Breakdown Time and Weights of Jobs. - Harendra Kumar; Shailendra Giri (Int. J. Serv. Sci. Manag. Eng. Technol., 2021)

Hybrid model for tasks scheduling in distributed real time system. - Harendra Kumar; Isha Tyagi (J. Ambient Intell. Humaniz. Comput., 2021)

A fuzzy clustering technique for enhancing the convergence performance by using improved Fuzzy c-means and Particle Swarm Optimization algorithms. - Niteesh Kumar; Harendra Kumar (Data Knowl. Eng., 2022)

Tasks Scheduling Through Hybrid Genetic Algorithm in Real-Time System on Heterogeneous Environment. - Nutan Kumari Chauhan; Isha Tyagi; Harendra Kumar; Dipa Sharma (SN Comput. Sci., 2022)

A new hybrid particle swarm optimizationalgorithm for optimal tasks scheduling in distributed computing system. - Karishma; Harendra Kumar (Intell. Syst. Appl., 2023)

GWO based energy-efficient workflow scheduling for heterogeneous computing systems. - Karishma; Harendra Kumar (Soft Comput., 2025)

Hybrid fuzzy clustering technique to enhance the performance based on a fusion of intuitionistic modified fuzzy c-means and improved genetic algorithm. - Niteesh Kumar; Harendra Kumar; Dipa Sharma (Int. J. Data Sci. Anal., 2025)