Dynamic Load Balancing and Service Prioritization Algorithm for Cloud Computing Environments

Main Article Content

Bhaskar Bhatt

Abstract

Bridge infrastructure plays a critical role in ensuring the safe and efficient transportation of goods and people. This research paper investigates the strength characteristics of bridges with a focus on understanding the factors influencing their structural integrity and resilience. The study employs a comprehensive methodology that includes field inspections, laboratory testing, and advanced computational modeling techniques to assess the performance of various bridge types under different loading conditions. Findings reveal the complex interplay between design parameters, material properties, and environmental factors in determining bridge strength and durability. Moreover, the research highlights the importance of proactive maintenance strategies and innovative engineering solutions to enhance the resilience of bridge infrastructure against aging, deterioration, and extreme events. The insights gained from this study have significant implications for bridge design, maintenance practices, and public safety, ultimately contributing to the sustainability and reliability of transportation networks.

Downloads

Download data is not yet available.

Article Details

How to Cite
Dynamic Load Balancing and Service Prioritization Algorithm for Cloud Computing Environments (Bhaskar Bhatt , Trans.). (2024). International Journal of Emerging Science and Engineering (IJESE), 12(9), 21-25. https://doi.org/10.35940/ijese.H9929.12090824
Section
Articles

How to Cite

Dynamic Load Balancing and Service Prioritization Algorithm for Cloud Computing Environments (Bhaskar Bhatt , Trans.). (2024). International Journal of Emerging Science and Engineering (IJESE), 12(9), 21-25. https://doi.org/10.35940/ijese.H9929.12090824
Share |

References

Beloglazov, A., Abawajy, J., & Buyya, R. (2012). Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing. Future Generation Computer Systems, 28(5), 755-768. https://doi.org/10.1016/j.future.2011.04.017

Liu, X., He, K., Li, X., Jiang, Z., & Li, H. (2015). A survey on resource allocation strategies in cloud computing. In 2015 IEEE 8th International Conference on Service-Oriented Computing and Applications (SOCA) (pp. 27-34). IEEE.

Garg, S. K., Versteeg, S., & Buyya, R. (2013). SMICloud: A framework for comparing and ranking cloud services. Future Generation Computer Systems, 29(4), 1012-1023. https://doi.org/10.1016/j.future.2012.06.006

Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: state-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1), 7-18. https://doi.org/10.1007/s13174-010-0007-6

Singh, S., Chana, I., & Garg, S. (2018). An overview of load balancing techniques in cloud computing. In 2018 International Conference on Computing, Power and Communication Technologies (GUCON) (pp. 56-59). IEEE.

Mell, P., & Grance, T. (2011). The NIST definition of cloud computing (Special Publication 800-145). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.SP.800-145

Mastroianni, C., Meo, M., & Papuzzo, G. (2015). A survey of techniques for managing and scheduling data-intensive application workflows in the cloud. Journal of Network and Computer Applications, 52, 5-18.

Wang, G., Laszewski, G., & Younge, A. (2010). Cloud computing: a perspective study. New Generation Computing, 28(2), 137-146. https://doi.org/10.1007/s00354-008-0081-5

Li, X., Li, B., & Wang, W. (2014). A Survey on the Security of Cloud Computing. Journal of Software, 25(1), 142-165.

Buyya, R., Broberg, J., & Goscinski, A. M. (2010). Cloud computing: principles and paradigms. John Wiley & Sons. https://doi.org/10.1002/9780470940105

Priya, Dr. R. (2020). The Estimation of Risk on Cloud Computing Framework. In International Journal of Innovative Science and Modern Engineering (Vol. 6, Issue 4, pp. 5–10). https://doi.org/10.35940/ijisme.d1188.016420

Goyal, Ms. P., & Deora, Dr. S. S. (2022). Reliability of Trust Management Systems in Cloud Computing. In Indian Journal of Cryptography and Network Security (Vol. 2, Issue 1, pp. 1–5). https://doi.org/10.54105/ijcns.c1417.051322

Karthiga, S., & Velmurugan, Dr. T. (2020). Enhancing Security in Cloud Computing using Playfair and Ceasar Cipher in Substitution Techniques. In International Journal of Innovative Technology and Exploring Engineering (Vol. 9, Issue 4, pp. 912–920). https://doi.org/10.35940/ijitee.d1363.029420

Radhamani, V., & Dalin, G. (2019). Significance of Artificial Intelligence and Machine Learning Techniques in Smart Cloud Computing: A Review. In International Journal of Soft Computing and Engineering (Vol. 9, Issue 3, pp. 1–7). https://doi.org/10.35940/ijsce.c3265.099319

Mishra, J. P., Panda, S. R., Mishra, S. K., & Pati, B. (2019). A Novel Observation on Cloud Computing in Education. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 8, Issue 3, pp. 5262–5274). https://doi.org/10.35940/ijrte.c5910.098319

Most read articles by the same author(s)

1 2 3 4 > >>