基于多层监控的最优资源优化

IF 1.3 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
IET Networks Pub Date : 2023-06-27 DOI:10.1049/ntw2.12090
Dimitrios Uzunidis, Panagiotis Karkazis, Helen C. Leligou
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引用次数: 0

摘要

在整个服务生命周期中,服务质量(QoS)水平的满意度是服务提供者(SP)的关键目标之一。为了以最佳方式实现这一点,需要预测所需物理和虚拟资源的确切数量,例如CPU和内存使用情况,以及影响系统工作负载的任何可能的参数组合,例如用户数、每个请求的持续时间等。为了解决这个问题,作者引入了一种新的架构及其开源实现,a)监控和收集来自异构资源的数据,b)使用它们来训练机器学习模型,c)为每个特定的服务类型定制它们。候选解决方案在两个实际服务中进行了验证,在预测大量操作配置所需资源方面显示出非常好的准确性,其中还应用了数据增强方法,以进一步将估计误差降低到32%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optimal resource optimisation based on multi-layer monitoring

Optimal resource optimisation based on multi-layer monitoring

The satisfaction of the Quality of Service (QoS) levels during an entire service life-cycle is one of the key targets for Service Providers (SP). To achieve this in an optimal way, it is required to predict the exact amount of the needed physical and virtual resources, for example, CPU and memory usage, for any possible combination of parameters that affect the system workload, such as number of users, duration of each request, etc. To solve this problem, the authors introduce a novel architecture and its open-source implementation that a) monitors and collects data from heterogeneous resources, b) uses them to train machine learning models and c) tailors them to each particular service type. The candidate solution is validated in two real-life services showing very good accuracy in predicting the required resources for a large number of operational configurations where a data augmentation method is also applied to further decrease the estimation error up to 32%.

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来源期刊
IET Networks
IET Networks COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
5.00
自引率
0.00%
发文量
41
审稿时长
33 weeks
期刊介绍: IET Networks covers the fundamental developments and advancing methodologies to achieve higher performance, optimized and dependable future networks. IET Networks is particularly interested in new ideas and superior solutions to the known and arising technological development bottlenecks at all levels of networking such as topologies, protocols, routing, relaying and resource-allocation for more efficient and more reliable provision of network services. Topics include, but are not limited to: Network Architecture, Design and Planning, Network Protocol, Software, Analysis, Simulation and Experiment, Network Technologies, Applications and Services, Network Security, Operation and Management.
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