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Analyse resilience risks in microservice architecture systems with causality search and inference algorithms 利用因果关系搜索和推理算法分析微服务架构系统中的弹性风险
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2020-06-23 DOI: 10.1504/ijwgs.2020.10030149
Kanglin Yin, Qingfeng Du, Juan Qiu
The microservice architecture has already become the mainstream architecture pattern of web service applications in recent years. However, compared with traditional software architectures, the microservice architecture has a more sophisticated deployment structure, which makes it have to face more potential risks with greater diversity of fault symptoms. Microservice practitioners started to use the word 'resilience' to describe the capability of coping with different unexpected conditions. How to judge whether a system environment disruption is a risk of microservice resilience, and how to analyse resilience risks before the system is released, are the research questions in microservice development. As the practice of chaos engineering has solved the problem of resilience risk identification, this paper focuses on how to analyse identified resilience risks in microservice architecture systems, and a resilience risk analysis method is proposed. Based on performance monitoring data collected during chaos experiments, the analysis method uses the causality search algorithm to build causality graphs of performance indicators, and generates causality chains to system operators by the causality inference algorithm. The effectiveness of the proposed approach is proved by conducting a case study on a microservice architecture system.
近年来,微服务架构已经成为web服务应用的主流架构模式。然而,与传统的软件架构相比,微服务架构的部署结构更加复杂,这使得微服务架构面临的潜在风险更多,故障症状也更加多样化。微服务从业者开始使用“弹性”这个词来描述应对不同意外情况的能力。如何判断系统环境中断是否构成微服务弹性风险,以及如何在系统发布前对弹性风险进行分析,是微服务开发中的研究问题。鉴于混沌工程的实践解决了弹性风险识别问题,本文重点研究了如何对微服务架构系统中已识别的弹性风险进行分析,提出了一种弹性风险分析方法。该分析方法基于混沌实验中采集的性能监测数据,采用因果搜索算法构建性能指标的因果图,并通过因果推理算法生成系统操作者的因果链。通过对一个微服务体系结构系统的实例研究,验证了该方法的有效性。
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引用次数: 0
Self-healing of web service compositions: a specification rewriting approach web服务组合的自修复:一种规范重写方法
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2020-06-23 DOI: 10.1504/ijwgs.2020.10030150
R. Toledo, U. S. Costa, M. A. Musicante, Genoveva Vargas-Solar
We present an approach that improves the robustness of web service compositions enabling their recovery from failures that can happen at different execution times. We first present a taxonomy of failures as an overview of previous research works on the topic of fault recovery of service compositions. The resulting classification is used to propose our self-healing method for web service compositions. The proposed method, based on the refinement process of compositions, takes user preferences into account to generate the best possible recovering compositions. In order to validate our approach, we produced a prototype implementation capable of simulating and analysing different scenarios of faults. Our work introduces algorithms for generating synthetic compositions and web services. In this setting, the recovery time, the user preference degradation and the impact of different locations of failure are investigated under different strategies, namely local, partial or total recovery. These strategies represent different levels of intervention on the composition.
我们提出了一种方法,可以提高web服务组合的健壮性,使其能够从不同执行时间可能发生的故障中恢复。我们首先提出了故障的分类,作为对先前关于服务组合故障恢复主题的研究工作的概述。所得到的分类用于提出web服务组合的自修复方法。该方法基于组合物的细化过程,考虑用户偏好以生成最佳可能的恢复组合物。为了验证我们的方法,我们制作了一个能够模拟和分析不同故障场景的原型实现。我们的工作介绍了生成合成组合和web服务的算法。在这种情况下,研究了不同策略下的恢复时间、用户偏好退化和不同故障位置的影响,即局部恢复、部分恢复或完全恢复。这些策略代表了对作文的不同程度的干预。
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引用次数: 0
Q-PD: query graph extension framework using predicate-based RDF on linked open data Q-PD:在链接开放数据上使用基于谓词的RDF的查询图扩展框架
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2020-06-23 DOI: 10.1504/ijwgs.2020.10030142
Jongmo Kim, Kunyoung Kim, Mye M. Sohn, Gyudong Park
Linked open data (LOD) has emerged as a new platform for sharing and integrating information about not only web resources but also physical resources. However, as the volume of LOD increases explosively, it becomes difficult to query the LOD to discover the high-quality information. To obtain the desired information from the LOD, we propose the query graph extension framework (Q-PD framework) that can extend the users' queries. To do so, the Q-PD framework identifies the entity graph (EG), which contain the LOD resources directly related to the users' queries. As a next, it performs predicate-based RDF clustering to find the topic graph patterns (TGPs), which are the EGs to be reconstituted with information on the specific topics. Finally, the Q-PD framework extends the RDF graph patterns related to the users' queries using the TGPs. To prove the excellence of the Q-PD framework, we performed the three kinds of experiment with 681.9 entities and 51,577.1 RDF triples collected from DBpedia. Experimental results show that the Q-PD framework is superior to the existing bottom-up approach in terms of completeness and accuracy.
链接开放数据(LOD)作为一种共享和整合网络资源和物理资源信息的新平台而出现。然而,随着LOD数量的爆炸式增长,查询LOD以发现高质量信息变得困难。为了从LOD中获得所需的信息,我们提出了查询图扩展框架(Q-PD框架),该框架可以扩展用户的查询。为此,Q-PD框架识别实体图(EG),其中包含与用户查询直接相关的LOD资源。接下来,它执行基于谓词的RDF聚类来查找主题图模式(tgp),这些模式是要用关于特定主题的信息重新构造的eg。最后,Q-PD框架使用tgp扩展了与用户查询相关的RDF图模式。为了证明Q-PD框架的卓越性,我们对从DBpedia中收集的681.9个实体和51,577.1个RDF三元组进行了三种实验。实验结果表明,Q-PD框架在完整性和准确性方面都优于现有的自底向上方法。
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引用次数: 1
Real-time disease detection and analysis system using social media contents 利用社交媒体内容的实时疾病检测与分析系统
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2020-03-25 DOI: 10.1504/ijwgs.2020.10027862
SoYeop Yoo, Daeho Kim, SungMin Yang, O. Jeong
Nowadays, research that uses social media has become active. In particular, many studies have attempted to use social media as a sensor, because it generates information in real time, covering topics ranging from daily life to social issues such as disasters. In the area of public health, social media is also being used as a sensor for infectious disease surveillance. However, there are a number of challenges including the need to process efficiently large amounts of social media contents in real time and to detect diseases accurately. We have developed a system that detects disease in real-time and analyses using social media contents. We have built a workflow that enables real-time processing and developing a model managing data and detecting disease accurately. The system also provides useful information by analysing opinions and visualising information in real time. We have verified the effectiveness of the system.
如今,利用社交媒体的研究变得活跃起来。特别是,许多研究试图将社交媒体作为传感器,因为它实时产生信息,涵盖从日常生活到灾难等社会问题的主题。在公共卫生领域,社交媒体也被用作传染病监测的传感器。然而,存在许多挑战,包括需要实时有效地处理大量社交媒体内容和准确检测疾病。我们开发了一种实时检测疾病并利用社交媒体内容进行分析的系统。我们已经建立了一个工作流,可以实时处理和开发一个模型,管理数据并准确检测疾病。该系统还通过分析意见和实时可视化信息来提供有用的信息。我们已经验证了该系统的有效性。
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引用次数: 1
Auditable blockchain voting system - the blockchain technology toward the electronic voting process 可审计的区块链投票系统——区块链技术走向电子投票过程
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2020-03-25 DOI: 10.1504/ijwgs.2020.106102
A. Poniszewska-Marańda, M. Pawlak, Jakub Guziur
There exist many different electronic voting solutions and each has its own set of advantages and disadvantages. Most of the existing systems suffer from inadequate transparency and auditability. However, recently introduced blockchain technology may provide a solution to these problems. In this paper, auditable blockchain voting system (ABVS) is presented. It combines existing voting approach and combines it with blockchain technology to create a supervised and remote internet voting system, which is transparent and audit capable. The paper describes the system's processes, components, model and results of initial testing.
存在许多不同的电子投票解决方案,每种解决方案都有自己的优点和缺点。大多数现有系统缺乏透明度和可审计性。然而,最近引入的区块链技术可能为这些问题提供解决方案。本文提出了一种可审计的区块链投票系统(ABVS)。它结合了现有的投票方式,并将其与区块链技术相结合,创建了一个受监督的远程互联网投票系统,该系统透明且具有审计能力。本文介绍了系统的流程、组成、模型和初步测试结果。
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引用次数: 4
An efficient algorithm and tool for detecting dangerous website vulnerabilities 一个有效的算法和工具,用于检测危险的网站漏洞
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2020-03-25 DOI: 10.1504/ijwgs.2020.10027870
H. Long, Tong Anh Tuan, D. Taniar, Nguyen Van Can, Hoang Minh Hue, N. T. K. Son
Web applications are progressively developing and applied in most aspects of life. However, there exist a variety of dangerous website security vulnerabilities such as SQL injection and cross-site scripting. This creates the opportunity for hackers to exploit and attack websites for commercial or political purposes or fame. Some research and commercial software have been developed for scanning and detecting those vulnerabilities. In this paper, we present an efficient algorithmic study and tool to detect web security vulnerabilities. Experimental results show that the new method is capable of detecting vulnerabilities with high accuracy. Compared to popular commercial software on the market, our tool has faster performance and can detect a number of less common vulnerabilities such as shell injection, or file inclusion.
Web应用程序正在逐步开发并应用于生活的大多数方面。但是,存在着SQL注入、跨站脚本等多种危险的网站安全漏洞。这为黑客为了商业或政治目的或名声而利用和攻击网站创造了机会。一些研究和商业软件已经开发出来扫描和检测这些漏洞。在本文中,我们提出了一种有效的算法研究和工具来检测web安全漏洞。实验结果表明,该方法具有较高的漏洞检测精度。与市场上流行的商业软件相比,我们的工具具有更快的性能,并且可以检测许多不太常见的漏洞,例如shell注入或文件包含。
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引用次数: 8
Implementation and evaluation of a web-based regional culture inheritance support system 基于网络的地域文化传承支持系统的实现与评价
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2020-03-25 DOI: 10.1504/ijwgs.2020.10027867
Tomoyuki Ishida, Hengyi Li
To disseminate and inherit regional culture, we have implemented a web-based regional culture inheritance support system that uses augmented reality (AR) technology based on location information. The proposed system provides its users with browsing and operating functions for digitised regional cultural content, a presentation function for this content linked with location information via a web-based geographic information system, and a superimposing function for media information using AR technology. This system offers generational inheritance of lost regional culture and information dissemination of regional culture. In addition, we implemented a simple and accessible web-based regional cultural content management system. In this study, to evaluate the effectiveness, operability, and applicability of as well as satisfaction with the proposed system, we administered a questionnaire survey to 52 subjects. High evaluations were confirmed for many items.
为了传播和传承地域文化,我们实现了基于网络的基于位置信息的增强现实(AR)技术的地域文化传承支持系统。该系统为用户提供了数字化地域文化内容的浏览和操作功能,通过基于网络的地理信息系统提供了与位置信息链接的内容呈现功能,以及使用AR技术提供了媒体信息的叠加功能。这一制度提供了失落地域文化的代际传承和地域文化的信息传播。此外,我们还实现了一个简单易用的基于web的区域文化内容管理系统。在本研究中,为了评估系统的有效性、可操作性、适用性和满意度,我们对52名受试者进行了问卷调查。许多项目得到了高评价。
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引用次数: 1
Optimal planning of RDS considering PV uncertainty with different load models using artificial intelligence techniques 基于人工智能技术的不同负荷模型下考虑光伏不确定性的RDS优化规划
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2020-03-25 DOI: 10.1504/ijwgs.2020.10027868
Z. Ullah, M. R. Elkadeem, Shaorong Wang, Syed Muhammad Abrar Akber
This article presents the optimised planning of RDS and proposes the artificial intelligence technique using hybrid optimisation combined with phasor particle swarm optimisation and a gravitational algorithm, called PPSO/GSA for optimal planning of RDS considering photovoltaic distributed generators in RDSs. The main objective is to maximise the RDS performance by optimally allocating the PV generators. The proposed PPSO/GSA is implemented and validated on 94-bus practical RDS located in Portuguese considering single and multiple scenarios of PV generators installation along with various loading conditions. The results reveal that the optimised planning of RDS enhance the system reliability in term of a substantial reduction in active power loss and yearly economic loss as well as improving system voltage profile. Moreover, the convergence characteristics, computational efficiency, and applicability of the proposed artificial intelligence technique are evaluated by comparative analysis and comparison with other optimisation techniques.
本文介绍了RDS的优化规划,提出了将相量粒子群优化与引力算法相结合的混合优化人工智能技术PPSO/GSA用于考虑光伏分布式发电的RDS优化规划。主要目标是通过优化分配光伏发电机来最大化RDS性能。所提出的PPSO/GSA在位于葡萄牙的94总线实际RDS上实施和验证,考虑了光伏发电机安装的单一和多个场景以及各种负载条件。结果表明,优化后的RDS规划可大幅降低有功功率损耗和年经济损耗,改善系统电压分布,提高系统可靠性。此外,通过对比分析和与其他优化技术的比较,评估了所提出的人工智能技术的收敛特性、计算效率和适用性。
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引用次数: 4
Energy consumption optimisation based on mobile edge computing in power grid internet of things nodes 基于移动边缘计算的电网物联网节点能耗优化
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2020-01-01 DOI: 10.1504/ijwgs.2020.10031643
Hongbin Sun, Mingjun Liu, Zhejun Qing, Xiaofeng Li, Lixue Li
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引用次数: 4
Unconstrained temporal inconsistency checking of natural language in webpage 网页自然语言的无约束时间不一致性检查
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2020-01-01 DOI: 10.1504/ijwgs.2020.10031642
Lin Gan, Zhan Shu, Shijun Li
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引用次数: 0
期刊
International Journal of Web and Grid Services
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