Efficient Horizontal Scaling Time in Clustered Computing Environments

SaiKrishna Mylavarapu

doi:10.62127/aijmr.2023.v01i01.1381

Efficient Horizontal Scaling Time in Clustered Computing Environments

Author(s)	SaiKrishna Mylavarapu
Country	United States
Abstract	Modern clustered computing environments depend on horizontal scaling to accommodate fluctuating workloads, yet existing systems exhibit significant inefficiencies in scaling time due to orchestration delays, resource contention, and communication overhead. Conventional architectures often fail to achieve proportional performance gains with increasing node counts, as scaling operations introduce additional latency during node provisioning, service initialization, and workload redistribution. This results in increased request completion time, particularly under high-load and fault conditions, where the expected benefits of scaling are diminished. Current approaches primarily emphasize throughput and resource utilization, while insufficient attention is given to the temporal behavior of scaling, leading to suboptimal responsiveness in real-world deployments. This paper addresses these limitations by focusing on horizontal scaling time as a critical performance factor in clustered environments. It examines the underlying causes of scaling inefficiencies, including delayed container orchestration, ineffective scheduling strategies, and high inter node communication costs. The proposed approach introduces an advanced architectural model designed to reduce scaling latency through efficient resource allocation, faster node integration, and optimized synchronization mechanisms. By minimizing delays associated with scaling events, the approach ensures that request completion time decreases consistently as the number of nodes increases. The study further analyzes system behavior across multiple node configurations, highlighting the relationship between node scaling and completion time under varying operational conditions. The findings establish that improving scaling time directly enhances system responsiveness and stability. By redefining performance evaluation in terms of time centric metrics rather than solely throughput, this work provides a more precise framework for designing scalable and efficient clustered computing systems.
Keywords	Horizontal Scaling, Clustered Computing, Scaling Time, Request Latency, System Throughput, Container Orchestration, Task Scheduling, Resource Allocation, Load Balancing, State Synchronization, Fault Tolerance, System Scalability, Performance Optimization, Distributed Systems, Node Scaling
Discipline	Engineering
Published In	Volume 1, Issue 1, July-August 2023
Published On	2023-08-08
DOI	https://doi.org/10.62127/aijmr.2023.v01i01.1381

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Efficient Horizontal Scaling Time in Clustered Computing Environments

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