Feed4Cloud: Towards trustworthy QoE-aware cloud service monitoring using blockchain

IF 6.2 2区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS

Future Generation Computer Systems-The International Journal of Escience Pub Date : 2024-09-16 DOI:10.1016/j.future.2024.107532

Ioanna Angeliki Kapetanidou , Christos-Alexandros Sarros , Giannis Ledakis , Vassilis Tsaoussidis

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引用次数: 0

Abstract

The recent prevalence of microservice-based applications that leverage the capabilities offered by cloud and edge computing, has given rise to highly complex services which create new challenges for efficient monitoring and orchestration. In today’s cloud environments, service monitoring is typically premised on technical Quality of Service (QoS) performance metrics, rather than on Quality of Experience (QoE) as perceived by users. In this paper, we posit that user feedback should also play a significant role in cloud service monitoring. However, we explicitly set a prerequisite: the trustworthiness of user feedback should not be considered guaranteed. Therefore, we have developed Feed4Cloud, the first system to complement QoS monitoring with exclusively trustworthy user feedback for QoE-aware cloud service management. The novelty of our solution lies in two key aspects: First, the establishment of an intermediate verification layer that validates user feedback before it is injected into the orchestration engine. The second key aspect is the use of Blockchain in this layer, as a means to record user feedback in a decentralized and secure way, aiming to achieve non-repudiation and ensure its integrity. In this paper, we present the architectural details of the Feed4Cloud prototype, while placing a particular focus on aspects regarding trustworthy evaluation of service performance. Furthermore, we provide evaluation results that validate the effectiveness of the introduced verification layer and demonstrate that QoE-based service evaluation can consistently be conducted in a trustworthy manner across a wide range of system conditions and user behaviors.

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Feed4Cloud：利用区块链实现可信的 QoE 感知云服务监控

最近，利用云计算和边缘计算所提供功能的基于微服务的应用十分盛行，从而产生了高度复杂的服务，为高效监控和协调带来了新的挑战。在当今的云环境中，服务监控通常以技术服务质量（QoS）性能指标为前提，而不是以用户感知的体验质量（QoE）为前提。在本文中，我们认为用户反馈也应在云服务监控中发挥重要作用。不过，我们明确设定了一个前提条件：用户反馈的可信度不应被视为有保证。因此，我们开发了 Feed4Cloud，它是第一个利用完全可信的用户反馈来补充 QoS 监控的系统，用于 QoE 感知云服务管理。我们解决方案的新颖之处在于两个关键方面：首先，建立中间验证层，在用户反馈注入协调引擎之前对其进行验证。第二个关键方面是在该层中使用区块链，作为以分散和安全的方式记录用户反馈的一种手段，旨在实现不可抵赖性并确保其完整性。在本文中，我们介绍了 Feed4Cloud 原型的架构细节，同时特别关注与服务性能可信评估有关的方面。此外，我们还提供了评估结果，这些结果验证了所引入的验证层的有效性，并证明基于 QoE 的服务评估可以在各种系统条件和用户行为中以可信的方式持续进行。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Future Generation Computer Systems-The International Journal of Escience 工程技术-计算机：理论方法

CiteScore

19.90

自引率

2.70%

发文量

376

审稿时长

10.6 months

期刊介绍： Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.