A Multi-Threaded Task Scheduling Architecture for Distributed Heterogeneous Servers

International Journal of Computer Science and Technology Vol. 1, No. 1, January 1999 | pp. 1–8

DOI: 10.46882/1999/IJCST/000001

Research Article

Title: A Multi-Threaded Task Scheduling Architecture for Distributed Heterogeneous Servers

Names of Authors: John A. Smith¹, Mariam O. Alabi²

Authors’ Affiliations: ¹Department of Computer Science, University of California, Berkeley, USA; ²Department of Information Technology, Federal University of Technology, Minna, Nigeria.

Abstract:
Distributed heterogeneous computing platforms require efficient scheduling models to map independent parallel tasks onto available physical processors. Ineffective resource allocations lead to high scheduling latencies, severe structural bottlenecks, and under-utilized processor cores. This paper introduces an optimized, dynamic task assignment heuristic designed for high-performance cluster frameworks. The proposed framework monitors processor availability continuously and redistributes application components using a decentralized priority-queue matching protocol. We evaluated the routing performance across a simulated cluster network of 128 heterogeneous computing nodes under varying workload profiles. Experimental results demonstrate a reduction in average task makespan by 24.5% and an increase in overall hardware utilization efficiency by 18.2% compared to traditional genetic algorithms and round-robin matching paradigms. The variance in overall execution latency decreased significantly, yielding a highly stable system environment even during peak task-submission bursts. Furthermore, the communication overhead introduced by the decentralized protocol scaled linearly with the cluster volume. This system architecture provides a robust mathematical foundation for enterprise application deployments attempting to satisfy strict service performance guidelines.

Keywords: Distributed Systems, Task Scheduling, Heterogeneous Computing, Parallel Architectures, Load Balancing, Cluster Performance.

Manuscript Timeline: Received: October 12, 1998; Revised: November 20, 1998; Accepted: December 05, 1998; Published: January 15, 1999.

Citation: Smith, J. A., & Alabi, O. M. (1999). A Multi-Threaded Task Scheduling Architecture for Distributed Heterogeneous Servers. International Journal of Computer Science and Technology, 1(1), 1–8.

Subscribe to read the full article: https://internationalscholarsjournals.org/subscribe-to-read