计算连续体模拟器:连续体体系结构评估的综合框架

IF 2.4 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Pablo Rodríguez , Sergio Laso , Javier Berrocal , Pablo Fernández , Antonio Ruiz-Cortés , Juan Manuel Murillo
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引用次数: 0

摘要

计算连续体范式对于满足需要实时处理、可靠连接和低延迟响应的物联网应用的需求至关重要。与传统的云模型不同,Computing Continuum集成了跨边缘、雾层和云层的资源,使数据处理更接近其来源。它在医疗保健、工业和农业等领域至关重要,在这些领域,严格的质量要求会产生重大的经济和社会影响。然而,由于设置可定制和可扩展的接近现实的多层环境的复杂性和高成本,评估连续体架构的性能和可靠性是具有挑战性的。为了应对这些挑战,我们引入了计算连续体模拟器框架,专门用于评估连续体环境的部署体系结构(物理和逻辑)。它支持部署大型计算连续体场景,自定义设备类型、网络基础设施和自定义应用程序设置,以准确模拟和评估接近现实世界的条件。作为软件即服务实现,它最大限度地减少了用户端所需的计算需求,并无缝集成到DevOps工作流中,简化了软件公司的部署、测试和采用,提供了一个定价计划,以确保各种需求的可访问性。可扩展性测试表明,该框架保持稳定的运行时间,根据定价计划具有不同的模拟大小。这种一致性强调了健壮性及其对可定制和可伸缩连续体系结构评估的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computing Continuum Simulator: A comprehensive framework for continuum architecture evaluation
The Computing Continuum paradigm is essential for meeting the needs of IoT applications that demand real-time processing, reliable connectivity, and low-latency response. Unlike traditional cloud models, Computing Continuum integrates resources across edge, fog, and cloud layers, bringing data processing closer to its source. It is crucial in fields like healthcare, industry, and agriculture, where strict quality requirements have significant economic and social impacts. However, evaluating the performance and reliability of continuum architectures is challenging due to the complexity and high costs of setting up customizable and scalable near-realistic multi-layered environments. To address these challenges, we introduce the Computing Continuum Simulator framework, specifically designed to evaluate the deployment architecture – both physical and logical – of continuum environments. It enables the deployment of large Computing Continuum scenarios, customizing device types, network infrastructure, and custom application setups to accurately simulate and evaluate near real-world conditions. Implemented as a Software as a Service, it minimizes required computational demands on the user-side and integrates seamlessly into DevOps workflows, simplifying deployment, testing, and adoption by software companies, offering a pricing plan to ensure accessibility for various needs. Scalability tests showed the framework maintains stable run times, with different simulation sizes depending on the pricing plan. This consistency underscores the robustness and its suitability for customizable and scalable continuum architecture evaluations.
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来源期刊
SoftwareX
SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.50
自引率
2.90%
发文量
184
审稿时长
9 weeks
期刊介绍: SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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