2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud)最新文献

A Smart Winter Service Platform and Route Planning Algorithm 智能冬季服务平台及路由规划算法

2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2018-08-01 DOI: 10.1109/FiCloud.2018.00035

Perin Ünal, Yunuscan Kocak, Y. Donmez

引用次数: 1

Ensuring IoT Security with an Architecture Based on a Separation Kernel 基于分离内核的架构确保物联网安全

2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2018-08-01 DOI: 10.1109/FiCloud.2018.00025

Mahieddine Yaker, Chrystel Gaber, G. Grimaud, Jean-Philippe Wary, Julien Iguchi-Cartigny, Xiao Han, Vicente Sanchez-Leighton

引用次数: 3

Realizing Prioritized Scheduling Service in the Hadoop System 在Hadoop系统中实现优先调度服务

2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2018-08-01 DOI: 10.1109/FiCloud.2018.00015

Tsozen Yeh, Hsinyi Huang

{"title":"Realizing Prioritized Scheduling Service in the Hadoop System","authors":"Tsozen Yeh, Hsinyi Huang","doi":"10.1109/FiCloud.2018.00015","DOIUrl":"https://doi.org/10.1109/FiCloud.2018.00015","url":null,"abstract":"Cloud computing has been widely used in many areas nowadays. It is common that large cloud systems could simultaneously service tens of thousands of users and host an excessive number of jobs running at the same time. Under such circumstances, the completion of urgent or time-critical tasks can be significantly delayed if the underlying cloud system does not offer schemes to speed up the execution of those tasks. Among the platforms adopted in cloud computing, Hadoop is one of the most widely used in the community of cloud computing. Unfortunately, Hadoop does not provide users efficient ways to expedite the course of execution for high-priority jobs which users would hope for their fast completion. We designed and implemented a new scheduling scheme enabling Hadoop to support fully prioritized scheduling. With our scheduling scheme, users can dynamically assign high priority to individual jobs so their execution could be accelerated accordingly. We evaluated our design and implementation by executing the same programs with ordinary priority versus high priority in Hadoop environments under different configurations. Experimental results show that programs can shorten their execution time by up to 82.70% if they are executed with high priority.","PeriodicalId":174838,"journal":{"name":"2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130572102","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: 5

Efficient Cloud Auto-Scaling with SLA Objective Using Q-Learning 利用q -学习实现SLA目标的高效云自动扩展

2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2018-08-01 DOI: 10.1109/FiCloud.2018.00020

Shay Horovitz, Yair Arian

引用次数: 42

Challenges Facing the Industrial Implementation of Fog Computing 雾计算工业实现面临的挑战

2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2018-08-01 DOI: 10.1109/FiCloud.2018.00056

Imen Bouzarkouna, M. Sahnoun, Nouha Sghaier, D. Baudry, C. Gout

{"title":"Challenges Facing the Industrial Implementation of Fog Computing","authors":"Imen Bouzarkouna, M. Sahnoun, Nouha Sghaier, D. Baudry, C. Gout","doi":"10.1109/FiCloud.2018.00056","DOIUrl":"https://doi.org/10.1109/FiCloud.2018.00056","url":null,"abstract":"Recently, the industries converge to the integration of the industry 4.0 paradigm to keep responding to the variable market demands. This integration is realized by the adoption of several components of the industry 4.0 such as IoT, Big Data and Cloud Computing, etc. Several difficulties concerning the integration of data management were encountered during first level of Industry 4.0 integration because of the unexpected quantity of data generated by IoT devices. The Fog computing can be considered as a new component of Industry 4.0 to resolve this kind of problem. However its implementation in the industrial field faces several challenges from different natures. This paper explains the role of Fog Computing solution to enhance the Cloud layer (distribution, low latency, real-time,. . . ) and studies its ability to be implemented in manufacturing systems. The Fog Manufacturing is introduced as the new industrial Fog vision. The challenges preventing the Fog Manufacturing implementation are studied and the links between each other are justified. A future use case is described to carry out the solutions given to satisfy the Fog Manufacturing challenges.","PeriodicalId":174838,"journal":{"name":"2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115866766","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: 20

Future of IoTSP – IT and OT Integration 物联网技术的未来——IT和OT的融合

2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2018-08-01 DOI: 10.1109/FiCloud.2018.00037

Daniel Lewandowski, Diego Pareschi, Waldemar Pakos, E. Ragaini

{"title":"Future of IoTSP – IT and OT Integration","authors":"Daniel Lewandowski, Diego Pareschi, Waldemar Pakos, E. Ragaini","doi":"10.1109/FiCloud.2018.00037","DOIUrl":"https://doi.org/10.1109/FiCloud.2018.00037","url":null,"abstract":"The Future of Internet of Things, Service and People (IoTSP) for the industrial sector lies in integrating two worlds – information technology and operation technology. This article explains in details practical concepts of IT and OT integration with a usage of digitalization approach. As an example an oil and gas business is taken into account. The so-called Digital Oilfield idea is focusing on melding the IT, OT and IoTSP in order to \"learn\" what is working best for O&G production, to predict equipment failures, track employees in the field in order to coach them in real-time and remove from hazardous situations. The ABB Polish Corporate Research Center has developed and built the advanced test rig for ABILITY-powered machines, used as multipurpose experimental rig mainly for applications in the oil, gas and chemicals sectors. The test rig provides additional capabilities in terms of the advanced control methods and condition monitoring techniques design and evaluation for the industrial compression systems. Except the industrial view on the matter, the facility is also used to verify novel and disruptive concepts for device communication and connectivity from sensors and devices up to cloud and it has been used to validate cloud use and business cases.","PeriodicalId":174838,"journal":{"name":"2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132307046","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

Using Sparse Matrices to Prevent Information Leakage in Cloud Computing 利用稀疏矩阵防止云计算中的信息泄漏

2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2018-08-01 DOI: 10.1109/FiCloud.2018.00070

K. Khan, Mahboob Shaheen, Yongge Wang

引用次数: 2

Multi-Level Elastic Deployment of Containerized Applications in Geo-Distributed Environments 容器化应用在地理分布环境中的多级弹性部署

2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2018-08-01 DOI: 10.1109/FiCloud.2018.00009

Matteo Nardelli, V. Cardellini, E. Casalicchio

引用次数: 22

A Rank Scheduling Mechanism for Fog Environments 雾环境的分级调度机制

2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2018-08-01 DOI: 10.1109/FiCloud.2018.00059

D. Abreu, Karima Velasquez, M. M. Assis, L. Bittencourt, M. Curado, E. Monteiro, E. Madeira

引用次数: 15

Virtualizing the Edge: Needs, Opportunities and Trends 虚拟化边缘:需求、机会和趋势

2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud) Pub Date : 2018-08-01 DOI: 10.1109/FiCloud.2018.00062

E. Marín-Tordera, X. Masip-Bruin, Beatriz Otero, Eva Rodríguez

引用次数: 0