International Journal of Computer Science and Technology

ISSN 2996-8223

International Journal of Computer Science and Technology Vol. 3, No. 7, July 2001 | pp. 49–56

DOI: 10.46882/2001/IJCST/000031

Research Article

Title: A Multi-Tiered Predictive Allocation Model for Enhancing Enterprise Storage 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 database centers experience significant input-output bottlenecks due to fragmented hardware layouts and unoptimized workload distributions. Leaving storage resources idling leads to unnecessary energy expenditures and inefficient hardware lifecycles. This paper details a modified Best-Fit Decreasing heuristic model developed to handle multi-dimensional storage limits, balancing Central Processing Unit (CPU), Random Access Memory (RAM), and storage block capabilities simultaneously. The consolidation framework analyzes historical data access trends to prevent aggressive workload migrations that trigger unexpected performance latency bottlenecks. We evaluated the algorithmic framework against 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, Storage Management, Load Balancing, Enterprise Architecture, Computing Efficiency.

Manuscript Timeline: Received: March 05, 2001; Revised: April 12, 2001; Accepted: May 02, 2001; Published: July 15, 2001.

Citation: Nair, A., & Dubois, S. (2001). A Multi-Tiered Predictive Allocation Model for Enhancing Enterprise Storage Arrays. International Journal of Computer Science and Technology, 3(7), 49–56.