Gibeom Byeon, Myungjoon Shon, Hansol Lee, Jiman Hong
{"title":"MACaaS Platform for Fog Computing","authors":"Gibeom Byeon, Myungjoon Shon, Hansol Lee, Jiman Hong","doi":"10.1145/3129676.3129718","DOIUrl":null,"url":null,"abstract":"With the development of the Internet of Things(IoT), where things are connected to the Internet, the number of IoT services and users is increasing day by day. Cloud computing is widely used to save and process the huge amounts of data generated by increasing IoT devices efficiently. However transmission delay problem occurs in the cloud computing environment because the huge amounts of data generated by the IoT devices is saved in the remote cloud servers. To solve this problem, fog computing emerged. Fog computing is a concept that brings cloud servers close to user area to provide high quality service by reducing the network transmission time. In this paper, we propose a Monitoring, Analyzing, and Controlling as a Service, which called MACaaS, platform for the fog computing. The proposed MACaaS platform provides services for monitoring, analyzing and controlling various IoT devices. In addition, the proposed platform can easily expand new services according to the additional requirements of IoT devices and users and provide the consistent interface for integrating various IoT devices.","PeriodicalId":326100,"journal":{"name":"Proceedings of the International Conference on Research in Adaptive and Convergent Systems","volume":"121 45","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Research in Adaptive and Convergent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3129676.3129718","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the development of the Internet of Things(IoT), where things are connected to the Internet, the number of IoT services and users is increasing day by day. Cloud computing is widely used to save and process the huge amounts of data generated by increasing IoT devices efficiently. However transmission delay problem occurs in the cloud computing environment because the huge amounts of data generated by the IoT devices is saved in the remote cloud servers. To solve this problem, fog computing emerged. Fog computing is a concept that brings cloud servers close to user area to provide high quality service by reducing the network transmission time. In this paper, we propose a Monitoring, Analyzing, and Controlling as a Service, which called MACaaS, platform for the fog computing. The proposed MACaaS platform provides services for monitoring, analyzing and controlling various IoT devices. In addition, the proposed platform can easily expand new services according to the additional requirements of IoT devices and users and provide the consistent interface for integrating various IoT devices.
随着物联网(Internet of Things, IoT)的发展,物联网服务和用户的数量日益增加。云计算被广泛用于有效地保存和处理因增加物联网设备而产生的大量数据。然而,在云计算环境中,由于物联网设备产生的大量数据保存在远程云服务器中,导致了传输延迟问题。为了解决这个问题,雾计算出现了。雾计算是通过减少网络传输时间,使云服务器靠近用户区域,提供高质量服务的概念。在本文中,我们提出了一个监测、分析和控制即服务(mcacaas)的雾计算平台。提出的macas平台提供各种物联网设备的监控、分析和控制服务。此外,该平台可以根据物联网设备和用户的额外需求轻松扩展新的业务,并为各种物联网设备的集成提供一致的接口。