Proposal for a Resource Allocation Model Aimed at Fog Computing

被引:0
|
作者
D'Amato, Andre [1 ]
Dantas, Mario [2 ]
机构
[1] Univ Tecnol Fed Parana UTFPR, Apucarana, Brazil
[2] Univ Fed Juiz de Fora UFJF, Juiz De Fora, Brazil
关键词
Distributed System; Job Management; Resource Allocation; Quality of Experience; Throughput; Quality of Context; Users satisfaction;
D O I
10.1007/978-3-031-57870-0_34
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The emergence of fog computing has presented challenges in effectively allocating resources within this environment. Addressing user satisfaction, many of these challenges can be mitigated through the quality of experience paradigm, which incorporates various contextual parameters. To optimize resource utilization, leveraging the quality of context paradigm can significantly enhance system performance. Consequently, this paper introduces a model aimed at dynamically enhancing individual user experiences while concurrently boosting overall system performance within the fog computing environment through quality of context considerations. Experimental results demonstrate tangible enhancements in runtime job execution and noticeable improvements in the overall system performance upon the implementation of our proposed model.
引用
收藏
页码:385 / 396
页数:12
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