Year: 2025
Type: article
Abstract: Numerous universities and national laboratories in the United States have collaboratively established a Common Component Architecture (CCA) forum to conduct research on parallel component technology. Given the overhead associated with component connection and management, performance optimization is of utmost importance. Current research often employs static load-balancing strategies or centralized dynamic approaches for load-balancing in parallel component applications. By analyzing the operational mechanism of CCA parallel components, this paper introduces a dynamic and distributed load-balancing method for such applications. We have developed a class library of computing nodes utilizing an object-oriented approach. The resource-management node deploys component applications onto sub-clusters generated by an aggregation algorithm. Dependency among different component calls is determined through data flow analysis. We maintain the load information of computing nodes within the sub-cluster using a distributed table update algorithm. By capturing the dynamic load information of computing nodes at runtime, we implement a load-balancing strategy in a distributed manner. Our dynamic and distributed load-balancing algorithm is capable of balancing component instance tasks across different nodes in a heterogeneous cluster platform, thereby enhancing resource utilization efficiency. Compared to existing static or centralized load-balancing methods, the proposed method demonstrates superior performance and scalability.
Source: Algorithms
DOI: 10.3390/a18040211
Authors: Lei Guo, Xin Guo, Feiya Lv
Institutions: Anyang Normal University, Tsinghua University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,930
Award: G6936417442
OpenAlex ID: W4409278772