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

PV Panel Modeling: A Mobile Application for Modeling Photovoltaic Panels Using Datasheets Information 光伏板建模:使用数据表信息建模光伏板的移动应用程序

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.48

A. Tedeschi, F. R. Fulginei, Antonino Laudani

{"title":"PV Panel Modeling: A Mobile Application for Modeling Photovoltaic Panels Using Datasheets Information","authors":"A. Tedeschi, F. R. Fulginei, Antonino Laudani","doi":"10.1109/FiCloud.2015.48","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.48","url":null,"abstract":"Over the past years, different approaches have been proposed for circuital modeling photovoltaic modules. Most of these approaches introduce simplifications and/or approximations techniques or exploit inaccurate data interpolated from the plots representing panel characteristic curves: this in order to overcome the treatment of transcendental equations or to add points for numerical fitting. Unfortunately, this leads to ineffective algorithms and inaccurate results. In this work, we propose a fast and powerful mobile application, named PV Panel Modeling, for the identification of PV panels from datasheet. PV Panel Modeling is based on a complete theoretical and practical analysis on the extraction of one-diode model parameters. In particular, the proposed procedure separates the independent parameters from the dependent ones by using suitable algebraic manipulations of the commonly used equations. Hence, it is possible to verify the open circuit, short circuit and maximum power point conditions, and to reduce the dimensions of the search space of the parameters. The application and its core are designed in order to be cross-platform and ensure high performances. Here, we propose an implementation for handheld devices based on Android operating system. Finally, the obtained results have been validated on hundreds of PV panels belonging to the California Energy Commission database.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"74 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":"115482819","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: 6

Predictive Congestion Avoidance in Wireless Mesh Network 无线网状网络中的预测拥塞避免

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.69

F. Khasawneh, Abderrahmane BenMimoune, M. Kadoch, M. Khasawneh

引用次数: 9

oneM2M Architecture Based User Centric IoT Application Development 基于oneM2M架构的以用户为中心的物联网应用开发

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.7

S. K. Datta, A. Gyrard, C. Bonnet, K. Boudaoud

引用次数: 55

Aggregated Sensor Payload Submission Model for Token-Based Access Control in the Web of Things 物联网中基于令牌访问控制的聚合传感器负载提交模型

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.22

Mohammed Amir, P. Pillai, Yim-Fun Hu

{"title":"Aggregated Sensor Payload Submission Model for Token-Based Access Control in the Web of Things","authors":"Mohammed Amir, P. Pillai, Yim-Fun Hu","doi":"10.1109/FiCloud.2015.22","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.22","url":null,"abstract":"Web of Things (WoT) can be considered as a merger of newly emerging paradigms of Internet of Things (IoT) and cloud computing. Rapidly varying, highly volatile and heterogeneous data traffic is a characteristic of the WoT. Hence, the capture, processing, storage and exchange of huge volumes of data is a key requirement in this environment. The crucial resources in the WoT are the sensing devices and the sensing data. Consequently, access control mechanisms employed in this highly dynamic and demanding environment need to be enhanced so as to reduce the end-to-end latency for capturing and exchanging data pertaining to these underlying resources. While there are many previous studies comparing the advantages and disadvantages of access control mechanisms at the algorithm level, vary few of these provide any detailed comparison the performance of these access control mechanisms when used for different data handling procedures in the context of data capture, processing and storage. This study builds on previous work on token-based access control mechanisms and presents a comparison of two different approaches used for handling sensing devices and data in the WoT. It is shown that the aggregated data submission approach is around 700% more efficient than the serial payload submission procedure in reducing the round-trip response time.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"148 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":"116529060","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: 1

Unification of Graph Data Models for Heterogeneous Security Information Resources' Integration 异构安全信息资源集成中图形数据模型的统一

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.13

S. Stupnikov, N. Miloslavskaya, V. Budzko

引用次数: 2

Using Green KPIs for Large IT Infrastructures' Energy and Cost Optimization 利用绿色kpi优化大型IT基础设施的能源和成本

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.86

Boban Celebic, R. Breu

引用次数: 1

Gatica: Linked Sensed Data Enrichment and Analytics Middleware for IoT Gateways Gatica:用于物联网网关的链接感测数据丰富和分析中间件

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FICLOUD.2015.37

Soheil Qanbari, Negar Behinaein, R. Rahimzadeh, S. Dustdar

{"title":"Gatica: Linked Sensed Data Enrichment and Analytics Middleware for IoT Gateways","authors":"Soheil Qanbari, Negar Behinaein, R. Rahimzadeh, S. Dustdar","doi":"10.1109/FICLOUD.2015.37","DOIUrl":"https://doi.org/10.1109/FICLOUD.2015.37","url":null,"abstract":"Raw sensed data lacks semantics. This poses a challenge to apply analytics directly to raw IoT sensor data. Such operational data requires an intensive enrichment processes to drive value. Pragmatic use of naming conventions and taxonomies can increase the quality of data and make it more interpretable. In this paper, we incorporate semantic and linked data technologies and offer a middleware called Gatica, to dynamically inject semantics to make the raw streaming data of an IoT gateway \"Rich\" on the device layer. Gatica collects the real-time sensor data, enriches them using annotations then transforms and exposes them in RDF triples, and finally streams RDF objects to the analytic endpoint for querying the linked sensor streaming data. Various analytic applications can utilize our middleware by sending SPARQL requests over the sensor network to our query interface and retrieving the results. Our middleware offers the ability to discover hidden patterns of mutually correlated variables and uncover actionable information within raw data for more utility. This paper details Gatica's architecture together with its implementation.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"49 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":"128421424","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: 8

Performance Optimization of a Data Center Using Virtualization Technology: A Case Study Utilizing DEMATEL Method 基于虚拟化技术的数据中心性能优化:基于DEMATEL方法的案例研究

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.72

A. N. Shivashankarappa, Sharath Basavanna, D. Ramalingam

引用次数: 3

Power Optimization of Large Scale Mobile Cloud Computing Systems 大规模移动云计算系统的功耗优化

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.126

M. Al-Ayyoub, Y. Jararweh, L. Tawalbeh, E. Benkhelifa, Anas Basalamah

{"title":"Power Optimization of Large Scale Mobile Cloud Computing Systems","authors":"M. Al-Ayyoub, Y. Jararweh, L. Tawalbeh, E. Benkhelifa, Anas Basalamah","doi":"10.1109/FiCloud.2015.126","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.126","url":null,"abstract":"The main objective of deploying large scale Mobile Cloud Computing (MCC) systems using the cloudlet based infrastructure is to reduce the total power consumption and the network delay while satisfying the Service Level Agreement (SLA). However, this objective is challenging to achieve due to the limited capabilities of the cloudlet system which limit the number of available services on each cloudlet system. This will force different cloudlets to cooperate in order to meet the users demands for different types of services. Moreover, the cooperation will require routing of user requests from the local cloudlet to a remote cloudlet that provide the requested service using a backbone network. This cooperation will increase the total power consumption per request which will include both the user to the local cloudlet power consumption and the power consumption for routing the request to a remote cloudlet. In this paper, we address the problem of optimizing the power consumption for large scale cooperative cloudlets deployments. The evaluation of the proposed model under different realistic scenarios shows that it can be used to accurately optimize power consumption in large scale MCC systems.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"54 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":"114852351","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: 29

A Game-Theoretic Analysis on Context-Aware Resource Allocation for Device-to-Device Communications in Cloud-Centric Internet of Things 云中心物联网设备间通信环境感知资源分配的博弈论分析

2015 3rd International Conference on Future Internet of Things and Cloud Pub Date : 2015-08-24 DOI: 10.1109/FiCloud.2015.125

Jun Huang, Ying Yin, Q. Duan, Huifang Yan

{"title":"A Game-Theoretic Analysis on Context-Aware Resource Allocation for Device-to-Device Communications in Cloud-Centric Internet of Things","authors":"Jun Huang, Ying Yin, Q. Duan, Huifang Yan","doi":"10.1109/FiCloud.2015.125","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.125","url":null,"abstract":"Recent technology advances in wireless mobile communications, sensor networks, machine-to-machine communications, and Cloud computing enable a Cloud-centric Internet of Things (IoT) paradigm which may have a significant impact on development, deployment, and utilization of IoT applications. Device-to-Device (D2D) communication is an emerging technology for improving cellular networks, which play a crucial role in realizing such a new IoT paradigm. Resource allocation is a key technical issue for achieving high-performance data transportation in cellular networks with D2D communications. Game theory has been applied as an effective tool for addressing the problem of resource allocation for D2D communications in cellular networks. Our previous work [1] proposed a resource allocation scheme for intercell D2D communication, which introduced location-awareness in D2D resource allocation. In this paper, we extend our previous work by particularly analyzing the situations where the game model for D2D resource allocation does not have a Nash Equilibrium within the resource constraints given by the studied system. We model the resource allocation for such situations as a cooperative game between the base stations of two cells where a pair of D2D users are located, and develop an algorithm for determining the bandwidth allocation at each station for maximizing the total utility of both stations. Such an algorithm, with integrated with the resource allocation protocol developed in [1], enables a context-aware D2D resource allocation in cellular networks that choose different strategies for different system situations.","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":"128070586","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: 22