International Journal of Computer Science and Technology

ISSN 2996-8223

International Journal of Computer Science and Technology Vol. 1, No. 6, June 1999 | pp. 43–51

DOI: 10.46882/1999/IJCST/000006

Research Article

Title: Heuristic Multi-Dimensional Bin-Packing for Workload Balancing in Enterprise Data Arrays

Names of Authors: Arjun Nair¹, Sophie Dubois²

Authors’ Affiliations: ¹Department of Information Technology, Indian Institute of Technology, Madras, India; ²Laboratoire d'Informatique, Sorbonne University, Paris, France.

Abstract:
Enterprise computing centers incur large operational expenses due to server hardware fragmentation and under-utilized processor capacities. Leaving server hardware idling leads to unnecessary energy expenditures and inefficient cooling system usage. This paper details a modified Best-Fit Decreasing heuristic model developed to handle multi-dimensional hardware limits, balancing Central Processing Unit (CPU), Random Access Memory (RAM), and network interface capabilities simultaneously. The consolidation framework analyzes historical usage trends to prevent aggressive workload migrations that trigger unexpected performance bottlenecks. We evaluated the algorithmic framework against server infrastructure traces monitoring 800 physical server nodes over a 30-day trial period. The performance analytics show that our heuristic saves 22.8% more power than static allocation models, while diminishing standard operational performance violations by 14.5%. The overall workload relocation overhead was restricted to 3.2% of cluster capability, proving that computing infrastructure can be optimized safely without introducing system latency or compromising active production application routines.

Keywords: Resource Allocation, Optimization Heuristics, Server Management, Load Balancing, Enterprise Architecture, Computing Efficiency.

Manuscript Timeline: Received: March 05, 1999; Revised: April 12, 1999; Accepted: May 02, 1999; Published: June 15, 1999.

Citation: Nair, A., & Dubois, S. (1999). Heuristic Multi-Dimensional Bin-Packing for Workload Balancing in Enterprise Data Arrays. International Journal of Computer Science and Technology, 1(6), 43–51.