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International Journal of Grid and Utility Computing最新文献

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A survey on resolving security issues in SaaS through software defined networks 通过软件定义网络解决SaaS中的安全问题的调查
IF 0.5 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.1504/IJGUC.2021.10032066
Reddy SaiSindhuTheja, G. Shyam
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引用次数: 1
A competition-based pricing strategy in Cloud markets using regret minimisation techniques 使用遗憾最小化技术的云市场基于竞争的定价策略
IF 0.5 Q3 Mathematics Pub Date : 2021-01-01 DOI: 10.1504/ijguc.2021.10043788
Mehdi Dehghan Takht Rooladi, S. Ghasemi, M. Meybodi, Amir Masoud Rahmani
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引用次数: 0
Online information bombardment! How does eWOM on social media lead to consumer purchase intentions 网络信息轰炸!社交媒体上的口碑如何引导消费者的购买意愿
IF 0.5 Q3 Mathematics Pub Date : 2020-09-14 DOI: 10.1504/ijguc.2020.10032065
Muddasar Ghani Khwaja, Saqib Mahmood, A. Jusoh
Social media networks have increased Electronic Word of Mouth (eWOM) conversations which have created numerous opportunities for online businesses. People using social media networks have been able to discuss, evaluate and argue on different products and services with their friends, family and peers. The study aimed to determine the influence of these social media conversations on the consumer purchase intentions. In this regard, Erkan and Evans' (2016) study was extended as an integrated framework of Theory of Reasoned Action (TRA) and Information Adoption Model (IAM). The proposed framework was estimated using Structural Equation Modelling (SEM) on AMOS. Survey method was deployed in which data from 342 respondents were taken who have been involved in online purchasing due to social media influence. The results attained affirmed the established theoretical foundations.
社交媒体网络增加了电子口碑(eWOM)对话,这为在线企业创造了许多机会。使用社交媒体网络的人已经能够与朋友、家人和同龄人讨论、评估和争论不同的产品和服务。该研究旨在确定这些社交媒体对话对消费者购买意愿的影响。在这方面,Erkan和Evans(2016)的研究被扩展为理性行动理论(TRA)和信息采纳模型(IAM)的综合框架。建议的框架是使用AMOS上的结构方程建模(SEM)进行估计的。采用了一种调查方法,从342名因社交媒体影响而参与在线购买的受访者中获取数据。研究结果肯定了已建立的理论基础。
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引用次数: 3
How do checkpoint mechanisms and power infrastructure failures impact on cloud applications 检查点机制和电力基础设施故障如何影响云应用程序
IF 0.5 Q3 Mathematics Pub Date : 2020-01-01 DOI: 10.1504/ijguc.2020.10030943
Guto Leoni Santos, D. Gomes, D. Sadok, J. Kelner, É. Rocha, P. Endo
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引用次数: 0
Domo Farm 4.0 Domo Farm 4.0
IF 0.5 Q3 Mathematics Pub Date : 2020-01-01 DOI: 10.1504/ijguc.2019.10022982
S. Angeloni
The paper explains and discusses an innovative agricultural appliance, based on vertical farming and hydroponics. The innovative and smart model was launched by a brilliant woman, winner of several awards. Applying her engineering skills, the female entrepreneur has set up a modern company, where technology and agriculture are perfectly integrated in a sustainable way to prevent environmental negative and damaging effects. Recently, the company has developed an automatic hydroponic greenhouse appliance for empowering individuals to grow crops at home. The household hydroponic appliance is based on sensors and smart technologies. The environmental and economic benefits and potentiality of the innovative appliance are highlighted.
本文介绍并讨论了一种基于垂直种植和水培的新型农业器具。这款创新而智能的车型是由一位才华横溢的女性推出的,她曾获得多个奖项。运用她的工程技能,这位女企业家建立了一家现代公司,在这里,技术和农业以可持续的方式完美结合,以防止对环境的负面和破坏性影响。最近,该公司开发了一种自动水培温室设备,使个人能够在家中种植作物。家用水培设备是基于传感器和智能技术。强调了创新设备的环境效益和经济效益以及潜力。
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引用次数: 2
Data access control algorithm based on fine-grained cloud storage 基于细粒度云存储的数据访问控制算法
IF 0.5 Q3 Mathematics Pub Date : 2020-01-01 DOI: 10.1504/ijguc.2020.10027929
Qiaoge Xu
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引用次数: 0
Don't lose the point, check it: Is your cloud application using the right strategy 不要失去重点,检查一下:您的云应用程序是否使用了正确的策略
IF 0.5 Q3 Mathematics Pub Date : 2019-08-09 DOI: 10.1504/IJGUC.2019.10023121
D. Gomes, G. Gonçalves, P. Endo, Moisés Rodrigues, J. Kelner, D. Sadok, C. Curescu
Users pay for running their applications on cloud infrastructure, and in return they expect high availability, and minimal data loss in case of failure. From a cloud provider perspective, any hardware or software failure must be detected and recovered as quickly as possible to maintain users' trust and avoid financial losses. From a user's perspective, failures must be transparent and should not impact application performance. In order to recover a failed application, cloud providers must perform checkpoints, and periodically save application data, which can then be recovered following a failover. Currently, a checkpoint service can be implemented in many ways, each presenting different performance results. The main research question to be answered is: what is the best checkpoint strategy to use given some users' requirements? In this paper, we performed experiments with different checkpoint service strategies to understand how these are affected by the computing resources. We also provide a discussion about the relationship between service availability and the checkpoint service.
用户为在云基础设施上运行他们的应用程序付费,作为回报,他们期望高可用性,并且在发生故障时最小化数据丢失。从云提供商的角度来看,任何硬件或软件故障都必须尽快检测和恢复,以保持用户的信任并避免经济损失。从用户的角度来看,故障必须是透明的,并且不应该影响应用程序的性能。为了恢复失败的应用程序,云提供商必须执行检查点,并定期保存应用程序数据,然后可以在故障转移后恢复这些数据。目前,检查点服务可以通过多种方式实现,每种方式都有不同的性能结果。要回答的主要研究问题是:考虑到某些用户的需求,最好的检查点策略是什么?在本文中,我们对不同的检查点服务策略进行了实验,以了解这些策略如何受到计算资源的影响。我们还讨论了服务可用性和检查点服务之间的关系。
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引用次数: 0
Evaluation prediction techniques to achieve optimal biomedical analysis 实现最佳生物医学分析的评估预测技术
IF 0.5 Q3 Mathematics Pub Date : 2019-07-18 DOI: 10.1504/IJGUC.2019.10020511
Samaher Al-Janabi, M. A. Mahdi
Intelligent analysis of prediction data mining techniques is widely used to support optimising future decision-making in many different fields including healthcare and medical diagnoses. These techniques include Chi-squared Automatic Interaction Detection (CHAID), Exchange Chi-squared Automatic Interaction Detection (ECHAID), Random Forest Regression and Classification (RFRC), Multivariate Adaptive Regression Splines (MARS), and Boosted Tree Classifiers and Regression (BTCR). This paper presents the general properties, summary, advantages, and disadvantages of each one. Most importantly, the analysis depends upon the parameters that have been used for building a prediction model for each one. Besides, classifying those techniques according to their main and secondary parameters is another task. Furthermore, the presence and absence of parameters are also compared in order to identify the better sharing of those parameters among the techniques. As a result, the techniques with no randomness and mathematical basis are the most powerful and fast compared with the others.
智能分析预测数据挖掘技术被广泛用于支持优化未来决策在许多不同的领域,包括医疗保健和医疗诊断。这些技术包括卡方自动交互检测(CHAID)、Exchange卡方自动交互检测(ECHAID)、随机森林回归和分类(RFRC)、多元自适应回归样条(MARS)和增强树分类器和回归(BTCR)。本文介绍了它们的一般特性、综述以及各自的优缺点。最重要的是,分析依赖于已用于为每个模型构建预测模型的参数。此外,根据主要参数和次要参数对这些技术进行分类是另一项任务。此外,还比较了参数的存在和不存在,以确定这些参数在技术之间更好地共享。因此,与其他技术相比,无随机性和数学基础的技术是最强大和最快的。
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引用次数: 44
A peer-to-peer approach to task scheduling in computation grid 计算网格中任务调度的点对点方法
IF 0.5 Q3 Mathematics Pub Date : 2003-12-07 DOI: 10.1007/978-3-540-24679-4_65
Jiannong Cao, Oscar M. K. Kwong, Xianbing Wang, Wentong Cai
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引用次数: 23
期刊
International Journal of Grid and Utility Computing
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