ArticleOpen Access http://dx.doi.org/10.26855/acc.2026.09.004
Research on Elastic Scaling and Resource Scheduling Strategies for Distributed Systems Facing Traffic Fluctuations
Xiao Ma
Cloud Data Technologies, eBay, San Jose, CA 95125, USA.
*Corresponding author: Xiao Ma
Published: July 20, 2026
Abstract
As the scale of business grows steadily, distributed systems confront an even more urgent demand for elastic resource control in dynamic traffic conditions, with the need for stable functioning and optimizing the use of resources at constantly changing loads. This paper combines the nature of traffic temporal changes with system load nature and forms an elastic scaling mechanism, which is geared towards traffic changes, and on these grounds examines the means of optimization, which include performance constraints and resource allocations into a single control system. The research suggests that proper traffic perception design and scalability decisions can be used to increase the adaptability of distributed systems to the dynamic workload, to make sure the quality of the service delivered alongside efficient resource utilization, which would enhance system stability and sustainability. Moreover, the suggested approach is in favor of long-term system development and proves effective applicability in the context of engineering practice, exhibiting a good level of adaptability and scalability in practical deployment cases. The results also provide a source of elastic management and optimization of resources of distributed systems in complicated traffic environments.
Keyword
Traffic fluctuations; distributed systems; elastic scaling; resource scheduling
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Copyright
© 2026 by the author(s).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license, which permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited and is not modified or adapted.
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How to cite this paper
Research on Elastic Scaling and Resource Scheduling Strategies for Distributed Systems Facing Traffic Fluctuations
How to cite this paper: Xiao Ma. (2026) Research on Elastic Scaling and Resource Scheduling Strategies for Distributed Systems Facing Traffic Fluctuations. Advances in Computer and Communication, 7(3), 135-138.
DOI: http://dx.doi.org/10.26855/acc.2026.09.004