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International Journal of Web and Grid Services最新文献

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An overview of compute first networking 计算优先网络的概述
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2021-01-01 DOI: 10.1504/IJWGS.2021.10036709
Liang Tian, Mingzhe Yang, Shangguang Wang
: Edge computing has become an important innovative business model in the 5G era, especially its low latency feature, which is considered to be not available in traditional solutions. Therefore, edge computing can provide more service capabilities and has a wider range of application scenarios. However, the collaboration of computing power between edge computing and cloud computing in the central position has become a new technical problem. That is, it is necessary to achieve cloud-to-network collaboration, cloud-to-edge collaboration, or even edge-to-edge collaboration among edge computing, cloud computing, and network to achieve the optimisation of resource utilisation. On the basis of studying the compute distribution and scheduling requirements of edge computing, this paper introduces a compute network scheme based on the deep fusion of cloud, edge and network, compute first networking. Firstly, we introduce the basic concept and related work of compute first networking. Then, we mainly discuss the framework and key technology of compute first networking. After that, we present some applications with respect to compute first networking. Finally, we discuss the challenges and opportunities in the area of compute first networking.
:边缘计算已经成为5G时代重要的创新商业模式,特别是其低延迟特性,被认为是传统解决方案所不具备的。因此,边缘计算可以提供更多的业务能力,具有更广泛的应用场景。然而,处于中心位置的边缘计算和云计算之间的计算能力协同已经成为一个新的技术问题。即需要实现边缘计算、云计算和网络之间的云到网络协作、云到边缘协作,甚至是边缘到边缘协作,以实现资源利用的优化。在研究边缘计算的计算分布和调度需求的基础上,提出了一种基于云、边缘和网络深度融合、计算优先组网的计算网络方案。首先介绍了计算优先网络的基本概念和相关工作。然后,重点讨论了计算优先网络的框架和关键技术。之后,我们将介绍一些关于计算优先网络的应用。最后,我们讨论了计算优先网络领域的挑战和机遇。
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引用次数: 5
An algorithm for online distributed fault-tolerant job scheduling in grid computing 网格计算中在线分布式容错作业调度算法
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2021-01-01 DOI: 10.1504/ijwgs.2021.10040918
Jun Zeng
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引用次数: 1
Reinforced resource management in vehicular fog computing using deep beacon power control protocol 基于深度信标功率控制协议的车载雾计算资源管理
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2021-01-01 DOI: 10.1504/ijwgs.2021.10040917
Seifedine Kadry, S. Vimal, Y. H. Robinson, E. G. Julie, R. Rajmohan, T. A. Kumar
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引用次数: 2
A sequence-to-sequence traffic predictor on software-defined networking 基于软件定义网络的序列到序列流量预测器
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2021-01-01 DOI: 10.1504/IJWGS.2021.10036975
Wenchuan Yang, Rui Hua, Qiuhan Zhao
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引用次数: 0
Automatic incremental recomposition algorithm for QoS-aware internet of things service composition 面向qos感知的物联网服务组合的自动增量重组算法
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2021-01-01 DOI: 10.1504/IJWGS.2021.10036711
Hyunyoung Kil, Wonhong Nam
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引用次数: 0
Attack resistance-based topology robustness of scale-free internet of things for smart cities 智慧城市无标度物联网的抗攻击拓扑鲁棒性
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2021-01-01 DOI: 10.1504/ijwgs.2021.10040915
T. N. Qureshi, Nadeem Javaid, Ahmad S. Almogren, Zain Abubaker, Hisham N. Almajed, Irfan Mohiuddin
In internet of things (IoTs), the increase in the number of devices is directly proportional to the number of applications. The exponential growth of devices increases both the network complexity and risk against topology robustness. Moreover, the network is also prone to targeted and malicious attacks. In this paper, enhanced angle sum operation ROSE (EASO-ROSE), enhanced ROSE, adaptive genetic algorithm (AGA) and cluster adaptive genetic algorithm (CAGA) are proposed to cater the topology robustness issue for IoT enabled smart cities. In addition, the proposed solutions keep the nodes’ initial degree distribution unchanged by maintaining the scale-free nature of the topology. Enhanced ROSE and EASO-ROSE Copyright © 2021 Inderscience Enterprises Ltd. 344 T.N. Qureshi et al. significantly improve the topology robustness by calculating the difference in nodes’ degree while rearranging the surrounding angles according to the highest degree node. CAGA and AGA also significantly improve the topology robustness by using adaptive probabilities of crossover and mutation that guide both algorithms to converge towards global optimum solution. Extensive simulations are preformed to evaluate the performance of the proposed strategies. Schneider R is used as a performance metric in the simulations. The results depict that the proposed algorithms perform 61.3%, 48.3%, 45.5% and 34.95%, better than simulating annealing algorithm.
在物联网(iot)中,设备数量的增加与应用数量成正比。设备的指数级增长增加了网络的复杂性和拓扑鲁棒性的风险。此外,网络也容易受到针对性和恶意攻击。本文提出了增强型角度和运算ROSE (EASO-ROSE)、增强型ROSE、自适应遗传算法(AGA)和聚类自适应遗传算法(CAGA),以满足物联网智能城市的拓扑鲁棒性问题。此外,所提出的解决方案通过保持拓扑的无标度特性来保持节点的初始度分布不变。版权©2021 Inderscience Enterprises Ltd. 344 T.N. Qureshi等通过计算节点度差,同时根据最高度节点重新排列周围角度,显著提高了拓扑鲁棒性。CAGA和AGA还通过使用交叉和突变的自适应概率来指导两种算法收敛到全局最优解,从而显著提高了拓扑鲁棒性。进行了大量的仿真来评估所提出的策略的性能。在模拟中使用Schneider R作为性能指标。结果表明,所提算法的效率分别比模拟退火算法高61.3%、48.3%、45.5%和34.95%。
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引用次数: 4
A hybrid pre-joined service network in graph database and memory for service composition 一种基于图形数据库和内存的混合式预加入服务网络
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2021-01-01 DOI: 10.1504/IJWGS.2021.10038138
Jing Li, Ming Zhang, Ming Zhu, Li-zhen Cui, Yuhong Yan, Bowen Song
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引用次数: 1
Machine learning applications for fog computing in IoT: a survey 物联网中雾计算的机器学习应用:调查
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2021-01-01 DOI: 10.1504/ijwgs.2021.10040913
M. Mousavi, J. Rezazadeh, Omid Ameri Sianaki
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引用次数: 2
An egalitarian approach of scheduling time restricted tasks in mobile crowdsourcing for double auction environment 双拍卖环境下移动众包中时间限制任务的平均调度方法
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2021-01-01 DOI: 10.1504/IJWGS.2021.10038140
Jaya Mukhopadhyay, V. Singh, S. Mukhopadhyay, Meghana M. Dhananjaya, Anita Pal
{"title":"An egalitarian approach of scheduling time restricted tasks in mobile crowdsourcing for double auction environment","authors":"Jaya Mukhopadhyay, V. Singh, S. Mukhopadhyay, Meghana M. Dhananjaya, Anita Pal","doi":"10.1504/IJWGS.2021.10038140","DOIUrl":"https://doi.org/10.1504/IJWGS.2021.10038140","url":null,"abstract":"","PeriodicalId":54935,"journal":{"name":"International Journal of Web and Grid Services","volume":"43 1","pages":"221-245"},"PeriodicalIF":1.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76593222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Virtual vehicle based on incremental learning for navigation service 基于增量学习的虚拟车辆导航服务
IF 1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2021-01-01 DOI: 10.1504/IJWGS.2021.10036710
Shangguang Wang, Tao Lei, Lei Yang, Zhizhong Shi
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引用次数: 0
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International Journal of Web and Grid Services
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