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Int. J. Grid Util. Comput.最新文献

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Resource consumption trade-off for reducing hotspot migration in modern data centres 现代数据中心减少热点迁移的资源消耗权衡
Pub Date : 2021-09-24 DOI: 10.1504/ijguc.2021.117879
Mouhebeddine Berrima, W. Louhichi, N. B. Rajeb
Virtual machine migration is a basic mechanism to implement dynamic resource management such as resource restraints management, physical machine consolidation, and load balancing. These are necessa...
虚拟机迁移是实现动态资源管理(如资源约束管理、物理机整合和负载平衡)的基本机制。这些是必需的……
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引用次数: 2
A computer-based decision support system for knowledge management in the swine industry 猪业知识管理的计算机决策支持系统
Pub Date : 2021-09-24 DOI: 10.1504/ijguc.2021.117844
Johanna Trujillo Diaz, Milton M. Herrera, Flor Nancy Díaz Piraquive
The swine industry contributes to food security around the world. However, the most vulnerable point in the industry occurs at the pig production cycle. This production cycle generates an unbalance...
养猪业为世界各地的粮食安全做出了贡献。然而,该行业最脆弱的点发生在生猪生产周期。这种生产周期产生了不平衡……
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引用次数: 1
K-means clustering algorithm for data distribution in cloud computing environment 云计算环境下数据分布的K-means聚类算法
Pub Date : 2021-09-24 DOI: 10.1504/ijguc.2021.117873
Hailan Pan, Yongmei Lei, Shi Yin
This study analyses the data structure in cluster analysis. It is a clustering method that randomly selects a known number of points and then continues to expand. Through the comparative experiment...
本文对聚类分析中的数据结构进行了分析。它是一种随机选择已知数量的点,然后继续扩展的聚类方法。通过对比实验……
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引用次数: 4
Method for determining cloth simulation filtering threshold value based on curvature value of fitting curve 基于拟合曲线曲率值确定布料仿真滤波阈值的方法
Pub Date : 2021-09-24 DOI: 10.1504/ijguc.2021.117849
Jialong Sun, Zhengyang Zhang, Bingxin Long, Siyuan Qin, Yonghao Yan, Lize Wang, Jiangtao Qin
Cloth Simulation Filtering (CSF) is an algorithm that is effectively applied to mobile 3D laser point cloud filtering. The classification threshold in cloth simulation is a key parameter for separa...
布模拟滤波(CSF)是一种有效应用于移动三维激光点云滤波的算法。织物仿真中的分类阈值是织物分离的关键参数。
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引用次数: 1
Cloud workflow scheduling algorithm based on multi-objective hybrid particle swarm optimisation 基于多目标混合粒子群优化的云工作流调度算法
Pub Date : 2021-09-24 DOI: 10.1504/ijguc.2021.117850
Gang Dai, Baomin Xu, Jianfeng Peng, Lei Zhang
Particle swarm optimisation has been widely used in solving scheduling problems. This paper proposes a hybrid algorithm namely Hill Climbing with Multi-objective Particle Swarm Optimisation called ...
粒子群算法在求解调度问题中得到了广泛的应用。本文提出了一种混合爬坡算法和多目标粒子群算法。
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引用次数: 1
An agent-based mechanism to form cloud federations and manage their requirements changes 基于代理的机制,以形成云联盟并管理其需求更改
Pub Date : 2021-09-24 DOI: 10.1504/ijguc.2021.117851
Nassima Bouchareb, N. Zarour
Cloud computing is a business paradigm, where Cloud providers offer computing resources (software and hardware) and Cloud consumers use them. Forming Cloud federations and managing them is a big pr...
云计算是一种业务范例,其中云提供商提供计算资源(软件和硬件),云消费者使用它们。形成云联盟并对其进行管理是一项重大任务。
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引用次数: 0
FastGarble: an optimised garbled circuit construction framework FastGarble:一个优化的乱码电路结构框架
Pub Date : 2021-09-24 DOI: 10.1504/ijguc.2021.117846
A. Anasuya Threse Innocent, G. Prakash, K. Sangeeta
The emerging field of cryptography, Secure Computation, can be used to solve a number of distributed computing applications without loss of privacy of sensitive/private data. The applications can b...
密码学的新兴领域,安全计算,可以用来解决许多分布式计算应用,而不会丢失敏感/私有数据的隐私。应用程序可以…
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引用次数: 0
DIOXIN: runtime security policy enforcement of fog applications DIOXIN:雾应用程序的运行时安全策略实施
Pub Date : 2021-04-30 DOI: 10.1504/IJGUC.2021.114821
E. Russo, Luca Verderame, A. Armando, A. Merlo
Fog computing is an emerging distributed computational paradigm that moves the computation towards the edge (i.e., where data are produced). Although Fog operating systems provide basic security mechanisms, security controls over the behaviour of applications running on Fog nodes are limited. For this reason, applications are prone to a variety of attacks. We show how current Fog operating systems (with a specific focus on Cisco IOx) are actually unable to prevent these attacks. We propose a runtime policy enforcement mechanism that allows for the specification and enforcement of user-defined security policies on the communication channels adopted by interacting Fog applications. We prove that the proposed technique reduces the attack surface of Fog computing w.r.t. malicious applications. We demonstrate the effectiveness of the proposed technique by carrying out an experimental evaluation against a realistic Fog-based IoT scenario for smart irrigation.
雾计算是一种新兴的分布式计算范式,它将计算移向边缘(即数据产生的地方)。尽管Fog操作系统提供了基本的安全机制,但是对运行在Fog节点上的应用程序的行为的安全控制是有限的。因此,应用程序容易受到各种攻击。我们将展示当前的Fog操作系统(特别关注Cisco IOx)实际上如何无法阻止这些攻击。我们提出了一种运行时策略实施机制,该机制允许在交互Fog应用程序采用的通信通道上规范和实施用户定义的安全策略。实验证明,该方法减少了雾计算恶意应用的攻击面。我们通过对现实的基于雾的物联网智能灌溉场景进行实验评估,证明了所提出技术的有效性。
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引用次数: 0
A vector-based watermarking scheme for 3D models using block rearrangements 一种基于矢量的基于块重排的3D模型水印方案
Pub Date : 2020-09-14 DOI: 10.1504/ijguc.2020.10029974
Modigari Narendra, M. Valarmathi, L. Anbarasi, D. Prasanna
Watermarking schemes help to secure the ownership, authenticity, and copyright-related security issues of electronic data. Digital watermarking is used to enhance the copyright protection of the 3D models thus overcoming the integrity violations. An efficient, robust, semi-blind computationally secure DWT-based watermarking is proposed for 3D models. Firstly, a block segmentation of the vertices is performed on the horizontally or vertically scrambled host 3D model. The secret watermark is embedded into the lower frequency band of each segment using Discrete Wavelet Transform (DWT). The proposed scheme employs block rearrangement to scramble the host 3D model so as to enhance the security and fidelity of the embedded watermark. Reverse scrambling and inverse DWT is accomplished for constructing the watermarked model. Semi-blind extraction process achieved a successful retrieval of the secret watermark from the watermarked 3D model. A simulation study with a variety of 3D models evidenced the performance of the proposed watermarking scheme in terms of geometrical attacks, robustness and degradation affect.
水印方案有助于确保电子数据的所有权、真实性和与版权相关的安全问题。采用数字水印技术增强了三维模型的版权保护,克服了侵犯完整性的问题。提出了一种高效、鲁棒、计算安全的基于dwt的三维模型水印方法。首先,在水平或垂直置乱的主机3D模型上对顶点进行分块分割。利用离散小波变换(DWT)将秘密水印嵌入到每一段的较低频段。该方案采用块重排方式对主机三维模型进行置乱,以提高嵌入水印的安全性和保真度。通过反向置乱和逆小波变换构造水印模型。采用半盲提取方法,成功地从加了水印的三维模型中提取出秘密水印。通过对多种三维模型的仿真研究,证明了所提出的水印方案在几何攻击、鲁棒性和退化影响方面的性能。
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引用次数: 0
Towards self-optimisation in fog computing environments 在雾计算环境中实现自我优化
Pub Date : 2020-09-14 DOI: 10.1504/ijguc.2020.10029710
D. Silva, José dos Santos Machado, A. Ribeiro, E. Moreno
In recent years, the number of smart devices has grown exponentially. However, the computational demand for latency-sensitive applications has grown and the traditional model of cloud computing is no longer able to meet alone all the needs of this type of application. In this direction, a new paradigm of computation was introduced, it is called Fog Computing. Many challenges need to be overcome, especially those regarding issues such as security, power consumption, high latency in communication with critical IoT applications, and need for QoS. We have presented a container migration mechanism to Fog and the cloud computing that supports the implementation of optimisation strategies to achieve different objectives and solutions to problems of resources allocation. In addition, our work emphasises the performance and latency optimisation, through an autonomic architecture based on the MAPE-K control loop, and provides a foundation for the analysis and optimisation architectures design to support IoT applications.
近年来,智能设备的数量呈指数级增长。然而,对延迟敏感的应用程序的计算需求已经增长,传统的云计算模型不再能够单独满足这类应用程序的所有需求。在这个方向上,一种新的计算范式被引入,它被称为雾计算。需要克服许多挑战,特别是与安全、功耗、与关键物联网应用程序通信的高延迟以及对QoS的需求等问题有关的挑战。我们已经向Fog和云计算提供了一个容器迁移机制,该机制支持实现优化策略,以实现不同的目标和解决资源分配问题。此外,我们的工作强调性能和延迟优化,通过基于MAPE-K控制回路的自主架构,并为分析和优化架构设计提供基础,以支持物联网应用。
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引用次数: 1
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Int. J. Grid Util. Comput.
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