- Aggarwal, A., Verma, R., & Singh, A. (2018a). An efficient approach for resource allocations using hybrid scheduling and optimization in distributed system. International Journal of Education and Management Engineering, 8(3), 33.
- Aggarwal, A., Verma, R., & Singh, A. (2018b). An efficient approach for resource allocations using hybrid scheduling and optimization in distributed system. Int. J. Educ. Manag. Eng.(IJEME), 8(3), 33-42.
- Akbari, M., & Rashidi, H. (2016). A multi-objectives scheduling algorithm based on cuckoo optimization for task allocation problem at compile time in heterogeneous systems. Expert Systems with Applications, 60, 234-248.
- Alba, E. (2002). Parallel evolutionary algorithms can achieve super-linear performance. Information Processing Letters, 82(1), 7-13.
- Alba, E., & Troya, J. M. (1999). A survey of parallel distributed genetic algorithms. Complexity, 4(4), 31-52.
- Attiya, G., & Hamam, Y. (2003a). Hybrid Algorithm for Mapping Parallel Applications in Distributed Systems. Paper presented at the Fifth International Conference on PRAM, Poland.
- Attiya, G., & Hamam, Y. (2003b). Optimal allocation of tasks onto networked heterogeneous computers using minimax criterion. Paper presented at the Proceedings of International Network Optimization Conference (INOC, 03).
- Attiya, G., & Hamam, Y. (2006). Task allocation for maximizing reliability of distributed systems: A simulated annealing approach. Journal of parallel and distributed computing, 66(10), 1259-1266.
- Augustine, D. P., & Raj, P. (2016). Performance Evaluation of Parallel Genetic Algorithm for Brain MRI Segmentation in Hadoop and Spark. Indian Journal of Science and Technology, 9(48).
- Bharati, R., Shahakar, M., & Mahajan, R. (2014). Task Allocation Policy in Distributed Computing Using Refined Heuristics. International Journal of Emerging Technology and Advanced Engineering, 4(6).
- Bharati, R. D., Jagtap, V. N., Gupta, O. C., & Landge, S. S. (2013). Task Allocation for Maximizing Reliability of Distributed Computing Systems using Dynamic Greedy Heuristic. International Journal of Advanced Research in Computer and Communication Engineering, 2(3), 1554-1557.
- Braun, T. D., Siegel, H. J., Maciejewski, A. A., & Hong, Y. (2008). Static resource allocation for heterogeneous computing environments with tasks having dependencies, priorities, deadlines, and multiple versions. Journal of parallel and distributed computing, 68(11), 1504-1516.
- Cai, P., Cai, Y., Chandrasekaran, I., & Zheng, J. (2016). Parallel genetic algorithm based automatic path planning for crane lifting in complex environments. Automation in Construction, 62, 133-147.
- Chaubey, M., & Gupta, M. (2019). DESIGNING A TASK ALLOCATOR FRAMEWORK FOR DISTRIBUTED COMPUTING. International Journal of Advanced Research in Computer Science, 10(4).
- Feng, Z.-K., Niu, W.-J., Zhou, J.-Z., Cheng, C.-T., Qin, H., & Jiang, Z.-Q. (2017). Parallel multi-objective genetic algorithm for short-term economic environmental hydrothermal scheduling. energies, 10(2), 163.
- Govil, K. (2011). A smart algorithm for dynamic task allocation for distributed processing environment. International Journal of Computer Applications, 28(2), 13-19.
- Govil, K., & Kumar, A. (2011). A modified and efficient algorithm for Static task assignment in Distributed Processing Environment. International Journal of Computer Applications, 23(8), 1-5.
- Hamed, A. Y. (2012). Task allocation for minimizing cost of distributed computing systems using genetic algorithms. International Journal of Advanced Research in Computer Science and Software Engineering, 2(9).
- Hu, Y., Li, J., & He, L. A reformed task scheduling algorithm for heterogeneous distributed systems with energy consumption constraints. Neural Computing and Applications, 1-13.
- Hu, Y., Li, J., & He, L. (2019). A reformed task scheduling algorithm for heterogeneous distributed systems with energy consumption constraints. Neural Computing and Applications, 1-13.
- Jiang, Y. (2015). A survey of task allocation and load balancing in distributed systems. IEEE transactions on Parallel and Distributed Systems, 27(2), 585-599.
- Jiang, Y. (2016). A survey of task allocation and load balancing in distributed systems. IEEE transactions on Parallel and Distributed Systems, 27(2), 585-599.
- Kacprzyk, J., & Pedrycz, W. (2015). Springer handbook of computational intelligence: Springer.
- Kang, Q.-M., He, H., Song, H.-M., & Deng, R. (2010). Task allocation for maximizing reliability of distributed computing systems using honeybee mating optimization. Journal of Systems and Software, 83(11), 2165-2174.
- Kang, Q., He, H., & Wei, J. (2013). An effective iterated greedy algorithm for reliability-oriented task allocation in distributed computing systems. Journal of parallel and distributed computing, 73(8), 1106-1115.
- Khan, F. N., & Govil, K. (2013a). Cost Optimization Technique of Task Allocation in Heterogeneous Distributed Computing System. International Journal of Advanced Networking and Applications, 5(3), 1913.
- Khan, F. N., & Govil, K. (2013b). Static Approach for Efficient Task Allocation in Distributed Environment. International Journal of Computer Applications, 81(15), 19-22.
- Menghani, G. (2010). A fast genetic algorithm based static heuristic for scheduling independent tasks on heterogeneous systems. Paper presented at the Parallel Distributed and Grid Computing (PDGC), 2010 1st International Conference on.
- Neelakantan, P., & Sreekanth, S. (2016). Task allocation in distributed systems. Indian Journal of Science and Technology, 9(31).
- Sharma, G., & Martin, J. (2009). MATLAB®: a language for parallel computing. International Journal of Parallel Programming, 37(1), 3-36.
- Shatz, S. M., Wang, J.-P., & Goto, M. (1992). Task allocation for maximizing reliability of distributed computer systems. IEEE Transactions on Computers, 41(9), 1156-1168.
- Srinivasan, S., & Jha, N. K. (1999). Safety and reliability driven task allocation in distributed systems. IEEE transactions on Parallel and Distributed Systems, 10(3), 238-251.
- Stone, H. S. (1977). Multiprocessor scheduling with the aid of network flow algorithms. IEEE transactions on Software Engineering(1), 85-93.
- Sudholt, D. (2015). Parallel evolutionary algorithms Springer Handbook of Computational Intelligence (pp. 929-959): Springer.
- Tyagi, R., & Gupta, S. K. (2018). A Survey on Scheduling Algorithms for Parallel and Distributed Systems Silicon Photonics & High Performance Computing (pp. 51-64): Springer.
- Vidyarthi, D. P., & Tripathi, A. K. (2001). Maximizing reliability of distributed computing system with task allocation using simple genetic algorithm. Journal of Systems Architecture, 47(6), 549-554.
- Wu, J. (2017). Distributed system design: CRC press.
- Yadav, P., Singh, M., & Sharma, K. (2011). An optimal task allocation model for system cost analysis in heterogeneous distributed computing systems: A heuristic approach. International Journal of Computer Applications, 28(4), 30-37.
- Yadav, P. K., Singh, M., & Sharma, K. (2011). Task Allocation Model for Reliability and Cost optimization in Distributed Computing System. International Journal Of Modeling, Simulation, and Scientific Computing, 2(02), 131-149.
- Zhang, X.-Y., Zhang, J., Gong, Y.-J., Zhan, Z.-H., Chen, W.-N., & Li, Y. (2016). Kuhn–Munkres parallel genetic algorithm for the set cover problem and its application to large-scale wireless sensor networks. IEEE Transactions on Evolutionary Computation, 20(5), 695-710.
|