2015 3rd International Conference on Future Internet of Things and Cloud最新文献_第3页

Formalizing Over Design and Under Design of Value Engineering for Context-Aware Cloud Service Development 面向上下文感知云服务开发的价值工程的过设计和欠设计形式化

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.14

Yucong Duan, Q. Duan, A. O. Elfaki, Chengxiang Ren

引用次数: 4

A Virtual Cluster Head Election Scheme for Energy-Efficient Routing in Wireless Sensor Networks 一种用于无线传感器网络节能路由的虚拟簇头选举方案

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.92

Ming-Yu Tsai, Yaw-Chung Chen

引用次数: 10

Structural Analyses of Malaysian Web and Host Graphs 马来西亚网站和主机图的结构分析

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.11

Jason Yong-Jin Tee, Lay-Ki Soon, Choo-Yee Ting

{"title":"Structural Analyses of Malaysian Web and Host Graphs","authors":"Jason Yong-Jin Tee, Lay-Ki Soon, Choo-Yee Ting","doi":"10.1109/FiCloud.2015.11","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.11","url":null,"abstract":"In this paper, we present our study on building a Web graph for the Malaysian Web based on the crawling of Malaysian Web sites. Given the constructed Web graph, interesting characteristics have been studied, such as the in-degree, out-degree, the distribution of power law, bow-tie structure and the strongly-connected components (SCCs). Besides, more important insight could be obtained from analyzing the hyperlinks among the hosts. Similar to Web graph, host graph serves as an informative source for enhancing crawling and searching methodologies, predicting Web growth and for Web sociology study. To date, Web or host graphs have been built for the global Web and other nations. Hence, being a subset of the global Web, it would also be interesting to compare the characteristics of Malaysian host graph with the global Web and other nations'. This research outputs a Malaysian Web graph, a Malaysian host graph and studies on the characteristics of these graphs. The graphs portray characteristics that are consistent with the graphs created for other nations. There are irregularities to the graphs where it is discussed at length to justify to anomalies.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130122507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of Cloud Test Beds Using OpenSource Solutions 使用开源解决方案的云测试平台分析

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.106

Bashir Mohammed, M. Kiran

{"title":"Analysis of Cloud Test Beds Using OpenSource Solutions","authors":"Bashir Mohammed, M. Kiran","doi":"10.1109/FiCloud.2015.106","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.106","url":null,"abstract":"Cloud computing is increasingly attracting large attention both in academic research and in industrial initiatives. However, despite the popularity, there is a lack of research on the suitability of software tools and parameters for creating and deploying Cloud test beds. Virtualization and how to set up virtual environments can be done through software tools, which are available as open source, but there still needs to be work in terms of which tools to use and how to monitor parameters with the suitability of hardware resources available. This paper discusses the concepts of virtualization, as a practical view point, presenting an in-depth critical analysis of open source cloud implementation tools such as CloudStack, Eucalyptus, Nimbus, OpenStack, OpenNebula, OpenIoT, to name a few. This paper analyzes the various toolkits, parameters of these tools, and their usability for researchers looking to deploy their own Cloud test beds. The paper also extends further in developing an experimental case study of using OpenStack to construct and deploy a test bed using current resources available in the labs at the University of Bradford. This paper contributes to the theme of software setups and open source issues for developing Cloud test bed for deploying and constructing private Cloud test bed.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132587363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Pre-emptive Flow Installation for Internet of Things Devices within Software Defined Networks 软件定义网络中物联网设备的先发制人流安装

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.87

P. Bull, Ron Austin, Mak Sharma

引用次数: 17

A Lightweight Platform Implementation for Internet of Things 面向物联网的轻量级平台实现

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.29

Young Ju Heo, Sung-Min Oh, W. S. Chin, J. Jang

引用次数: 6

Information Security Theory for the Future Internet 未来互联网的信息安全理论

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.12

A. Malyuk, N. Miloslavskaya

引用次数: 10

Redundancy in Linked Data Partitioning for Efficient Query Evaluation 链接数据分区中的冗余度用于高效查询求值

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.36

Eleftherios Kalogeros, M. Gergatsoulis, M. Damigos

引用次数: 3

A Machine Learning Approach for Big Data in Oil and Gas Pipelines 油气管道大数据的机器学习方法

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.54

Abduljalil Mohamed, M. Hamdi, S. Tahar

{"title":"A Machine Learning Approach for Big Data in Oil and Gas Pipelines","authors":"Abduljalil Mohamed, M. Hamdi, S. Tahar","doi":"10.1109/FiCloud.2015.54","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.54","url":null,"abstract":"Experienced pipeline operators utilize Magnetic Flux Leakage (MFL) sensors to probe oil and gas pipelines for the purpose of localizing and sizing different defect types. A large number of sensors is usually used to cover the targeted pipelines. The sensors are equally distributed around the circumference of the pipeline, and every three millimeters the sensors measure MFL signals. Thus, the collected raw data is so big that it makes the pipeline probing process difficult, exhausting and error-prone. Machine learning approaches such as neural networks have made it possible to effectively manage the complexity pertaining to big data and learn their intrinsic properties. We concentrate, in this work, on the applicability of artificial neural networks in defect depth estimation and present a detailed study of various network architectures. Discriminant features, which characterize different defect depth patterns, are first obtained from the raw data. Neural networks are then trained using these features. The Levenberg-Marquardt back-propagation learning algorithm is adopted in the training process, during which the weight and bias parameters of the networks are tuned to optimize their performances. Compared with the performance of pipeline inspection techniques reported by service providers such as GE and ROSEN, the results obtained using the method we proposed are promising. For instance, within ±10% error-tolerance range, the proposed approach yields an estimation accuracy at 86%, compared to only 80% reported by GE, and within ±15% error-tolerance range, it yields an estimation accuracy at 89% compared to 80% reported by ROSEN.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125028539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 28

Towards Semantic Monitoring Data Collection and Representation in Federated Infrastructures 面向联邦基础设施的语义监测数据收集与表示

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.40

Yahya Al-Hazmi, T. Magedanz

{"title":"Towards Semantic Monitoring Data Collection and Representation in Federated Infrastructures","authors":"Yahya Al-Hazmi, T. Magedanz","doi":"10.1109/FiCloud.2015.40","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.40","url":null,"abstract":"The federation of infrastructures in the fields of Cloud and Future Internet (FI) test beds is evolving rapidly due to its multilateral benefits for end-users and infrastructure owners. However, interoperable monitoring data exchange across multiple administrative domains is a critical task to achieve as the heterogeneity of the used tools and interfaces arises. Several efforts have been done to unify interfaces but are task or domain specific. In this paper alternative, existing data models and collection protocols are reviewed. Their limitations to serve the need of a generic monitoring solution operating across federated, heterogeneous infrastructure are identified. This paper introduces an approach for unification of monitoring data collection and representation based on Semantic Web technologies. The main contribution of this paper is the design and implementation of an ontology-based information model for monitoring federated infrastructures. An initial validation has been achieved in a local cloud test bed, however, this solution is planned for a federation of multiple heterogeneous test beds within the context of the European Fed4FIRE project.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131101772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10