55
Views
0
CrossRef citations to date
0
Altmetric
Regular Articles

An Enhanced Load Balancing Technique for Big-data Cloud Computing Environments

, , &

References

  • Abualigah, L., Abd Elaziz, M., Sumari, P., Geem, Z.W. & Gandomi, A.H. 2022. Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer. Expert systems with Application 199: 116158.
  • Abualigah, L., Diabat, A., Sumari, P. & Gandomi, A.H. 2021a. Applications, Deployments, and Integration of Internet of Drones (IoD): A Review. IEEE Sensors Journal 21 (22): 25532–25546.
  • Abualigah, L., Yousri, D., Abd Elaziz, M., Ewees, A.A., Al-qaness, M.A.A. & Gandomi, A.H. 2021b. Aquila Optimizer: A novel meta-heuristic optimization algorithm. Computers & Industrial Engineering 157: 107250.
  • Achar, R., Thilagam, P.S., Soans, N., Vikyath, P.V., Rao, S., Vijeth, A.M., et al. 2013. Load balancing in cloud based on live migration of virtual machines. Proceedings of Annual IEEE India Conference (INDICON), 1–5.
  • Afzal, S. & Kavitha, G. 2019. Load Balancing in Cloud Computing – A Hierarchical Taxonomical Classification. Journal of Cloud Computing: Advances, Systems and Applications 8 (22): 1–24.
  • Ajayi, S.O., Oladeji, F.A. & Uwadia, C.O. 2016. Multi-Class Load Balancing Scheme for QoS and Energy Conservation in Cloud Computing. West Africa Journal of Industrial and Academic Research 17: 28–36.
  • Akinboro, S.A. & Ayobami, T.O. 2019. A Model for Self-Adaptive Routing Optimization in Mobile Ad-hoc Network. International Journal of Swarm Intelligence Research 10 (1): 58–74.
  • Al-mashhadani, M.I., Hussein, K.M. & Khudir, E.T. 2022. Sentiment Analysis using Optimized Feature Sets in Different Facebook/Twitter Dataset Domains with Big Data. Iraqi Journal for Computer Science and Mathematics 3 (1): 64–70.
  • Alkayal, E.S., Jennings, N.R. & Abulkhair, M.F. 2017. Efficient Task scheduling Multi-Objective Particle Swarm Optimization in Cloud Computing. Proceedings of the IEEE 41st Conference on Local Computer Networks Workshops; 2016 Nov. 7-10; Dubai, United Arab Emirates; IEEE xplore.
  • Aswini, J., Malarvizhi, N. & Kumanan, T. 2019. A Novel Firefly algorithm based Load Balancing approach for Cloud Computing. International Journal of Innovative Technology and Exploring Engineering (IJITEE) 8 (2): 91–96.
  • Birje, M.N., Challagidad, P.S., Goudar, R.H. & Tapale, M.T. 2017. Cloud computing review: concepts, technology, challenges and security. International Journal of Cloud Computing 6 (1): 32–53.
  • Castelino, C., Gandhi, D., Narula, H.G. & Chokshi, N.H. 2014. Integration of Big Data and Cloud Computing. International Journal of Engineering Trends and Technology 16 (2): 100–102.
  • Dam, S., Mandal, G., Dasgupta, K. & Dutta, P. 2015. Genetic algorithm and gravitational emulation based hybrid load balancing strategy in cloud computing. Proceedings of the third international conference on computer communication, control and information technology (C3IT). 2015 Feb. 7-8; Hooghly, India; 1–7, IEEE Xplore.
  • Dar, A. & Ravindran, A. 2018. A Comprehensive Study on Cloud Computing Paradigm. International Journal of Advance Research in Science and Engineering 7 (4): 235–242.
  • Dave, A., Patel, B. & Bhatt, G. 2017. Load balancing in cloud computing using optimization techniques: a study. International Conference on Communication and Electronics Systems (ICCES). October 21-22; Coimbatore, India; 1–6, IEEE Xplore.
  • Desai, T. & Prajapati, J. 2013. A survey of various load balancing techniques and challenges in cloud computing. International Journal of Scientific & Technology Research 2 (11): 158–161.
  • Devi, M. & Ryhmend, U. 2014. Particle swarm optimization based node and link lifetime prediction algorithm for route recovery in MANET. Journal of Wireless Communication and Technology 107 (1): 1–10.
  • Ejimogua, O.H. & Basaran, S. 2017. A systematic mapping study on soft computing techniques to cloud environment. Science Direct 120 (45): 31–38.
  • Hasan, R.A., Najim, S.S. & Ahmed, M.A. 2021. Correlation with the fundamental PSO and PSO modifications to be hybrid swarm optimization. Iraqi Journal for Computer Science and Mathematics 2 (2): 25–32.
  • Husain, D., Omar, M., Ahmad, K., Jain, V., Wason, R., et al. 2019. Load status evaluation for Load Balancing in Distributed Database Servers. 3C Tecnologia. Glosas de innovacion aplicadas a la pyme Special Issue, 422–447.
  • Jayaraj, T. & Abdul-Samath, J. 2019. Process Optimization of Big-Data Cloud Centre Using Nature Inspired Firefly Algorithm and K-Means Clustering. International Journal of Innovative Technology and Exploring Engineering 8 (12): 48–52.
  • Kumar, K.P., Ragunathan, T., Vasumathi, D., Prasad, P.K., et al. 2020. An Efficient Load Balancing Technique based on Cuckoo Search and Firefly Algorithm in Cloud. International Journal of Intelligent engineering and Systems 13 (3): 422–432.
  • Kumar, H., Soh, P.J. & Ismail, M.A. 2022. Big Data Streaming Platforms: A Review. Iraqi Journal for Computer Science and Mathematics 3 (2): 95–100.
  • Li, J., Ma, T., Tang, M., Shen, W., Jin, Y., et al. 2017. Improved FIFO Scheduling Algorithm Based on Fuzzy Clustering in Cloud Computing. Information 8 (5): 422–447.
  • Ma, K., Bagula, A., Nyirenda, C. & Ajayi, O. 2020. Aiming at QoS: A Modified DE Algorithm for Task Allocation in Cloud Computing. Proceedings of the IEEE International Conference on Communications (ICC); 2020 June 7-11; Dublin, Ireland, pp. 1-7.
  • Magalhães, D., Calheiros, R.N., Buyya, R. & Gomes, D.G. 2015. Workload modelling for resource usage analysis and simulation in cloud computing. Computers & Electrical Engineering, 4769–81. doi:10.1016/j.compeleceng.2015.08.016.
  • Manaseer, S., Alzghoul, M. & Mohmad, M. 2019. An Advanced Algorithm for Load Balancing in Cloud Computing using MEMA Technique. International Journal of Innovative Technology and Exploring Engineering(IJITEE) 8 (3): 36–41.
  • Miglani, N. & Sharma, G. 2019. Modified Particle Swarm Optimization based upon Task categorization in Cloud Environment. IJEAT 8 (4C): 67–72.
  • Mishra, R. & Jaiswal, A. 2012. Ant colony Optimization: A Solution of Load balancing in Cloud. International journal of Web & Semantic Technology 3 (2): 33–50.
  • Mohammed, A. & MdAsri, N. 2016. Hybrid Symbolic Organisms Search Optimization Algorithm for Scheduling of Tasks on Cloud Computing Environment. Plos One 10 (13): 1–29.
  • Oyelade, O.N., Absalom, E. & Ezugwu, A.E. 2021. Ebola Optimization Search Algorithm: A new metaheuristic algorithm based on the propagation model of Ebola virus disease. Computer Science: https://arxiv.org/abs/2106.01416v2; ArXiv.
  • Patel, N. & Chauhan, S. 2015. A survey on load balancing and scheduling in cloud computing. International Journal of Innovative Research Science and Technology 1 (7): 185–189.
  • Sekar, K. & Padmavathamma, M. 2016. Comparative study of encryption algorithm over big data in cloud systems. Proceeding of the 3rd International Conference on Computing for Sustainable Global Development. 2016 March 16-18; New Delhi, India; 1571-1574, IEEE Xplore.
  • Sivarajah, U., Kamal, M.M. & Irani, Z. 2017. Critical analysis of Big Data challenges and analytical methods. Journal of Business Research 70: 263–286.
  • Soni, S. & Sangwa, S. 2018. Load Balancing in Cloud Computing: A Review. International Journal of Advanced Research in Computer Science 9 (2): 760–763.
  • Tripathi, A.M. & Singh, S. 2017. A literature review on algorithms for the load balancing in cloud computing environments and their future trends. Computer Modelling & New Technologies 21 (1): 64–73.
  • Vasudevan, S.K., Anandaram, S., Menon, A.J. & Aravinth, A. 2016. A novel improved honey bee based load balancing technique in cloud computing environment. Asian Journal of Information Technology 15 (9): 1425–1430.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.