A Balanced Structural Graph Balancing Model for Large Network Configurations

International Journal of Computer Science and Technology Vol. 1, No. 10, October 1999 | pp. 79–86

DOI: 10.46882/1999/IJCST/000010

Research Article

Title: A Balanced Structural Graph Balancing Model for Large Network Configurations

Names of Authors: Sarah Jenkins¹, Vikram Rao²

Authors’ Affiliations: ¹Department of Computer Science, Columbia University, New York, USA; ²School of Computer Science and Automation, Indian Institute of Science, Bangalore, India.

Abstract:
Distributed graph storage architectures experience notable data congestion when running multi-hop traversal actions across heavily connected relational schemas. The main technical challenge stems from distributing dense node topologies across multiple database servers without creating extensive cross-partition edge separations that increase cross-network transmission overhead. This study presents a dynamic multi-level graph sorting model, Balanced Vertex-Cut (BVC), engineered to manage power-law link distributions. The system balances individual vertex operations while simultaneously reducing data replication rates across separate cluster locations. We built the BVC partitioning system into a multi-node distributed configuration and analyzed query timelines against a synthetic relational chart containing 100 million vertices and 1.5 billion links. The empirical results prove that the BVC model cuts inter-node network data transmissions by 41.2% and accelerates long-path tracking actions by a factor of 3.5 relative to standard random sorting configurations. Storage volume variance remained within 2.1%, showing solid allocation balancing even during massive data additions.

Keywords: Graph Partitions, Network Topologies, Distributed Databases, Structural Analytics, Data Scaling, Database Optimization.

Manuscript Timeline: Received: July 15, 1999; Revised: August 25, 1999; Accepted: September 14, 1999; Published: October 28, 1999.

Citation: Jenkins, S., & Rao, V. (1999). A Balanced Structural Graph Balancing Model for Large Network Configurations. International Journal of Computer Science and Technology, 1(10), 79–86.

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