Research on Load Balancing Technology Based on Service Integration Framework

Addressing the key limitations of service integration frameworks, such as the lack of dynamic deployment and load balancing mechanisms and strategies, which lead to difficulties in dynamically deploying services, inefficient utilization of node resources within the system, and potential system bottlenecks, this paper investigates load balancing solutions under the service integration framework. It extends the service state management model within the framework to enable the management of service states. By leveraging dynamic deployment for load balancing, it enhances system resource utilization and reduces service response times. Based on the key mechanisms and strategies for service dynamic deployment and load balancing proposed in this paper, a load balancing prototype system is designed and implemented on top of the service integration framework. Both functional and performance tests are conducted on the prototype system.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/itnec60942.2024.10733024
Primary Topic
Distributed and Parallel Computing Systems
Type
article
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article

Research on Load Balancing Technology Based on Service Integration Framework

Distributed and Parallel Computing Systems
article

Research on Load Balancing Technology Based on Service Integration Framework

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Abstract

Addressing the key limitations of service integration frameworks, such as the lack of dynamic deployment and load balancing mechanisms and strategies, which lead to difficulties in dynamically deploying services, inefficient utilization of node resources within the system, and potential system bottlenecks, this paper investigates load balancing solutions under the service integration framework. It extends the service state management model within the framework to enable the management of service states. By leveraging dynamic deployment for load balancing, it enhances system resource utilization and reduces service response times. Based on the key mechanisms and strategies for service dynamic deployment and load balancing proposed in this paper, a load balancing prototype system is designed and implemented on top of the service integration framework. Both functional and performance tests are conducted on the prototype system.

NARI Group (China) (CN)
Openalex Percentile: Top 78%
Distributed and Parallel Computing Systems
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