{"title":"Class of service in fog computing","authors":"Judy C. Guevara, L. Bittencourt, N. Fonseca","doi":"10.1109/LATINCOM.2017.8240187","DOIUrl":null,"url":null,"abstract":"Although Fog computing specifies a scalable architecture for computation, communication and storage, there is still a demand for better Quality of Service (QoS), especially for agile mobile services. Both industry and academia have been working on novel and efficient mechanisms for QoS provisioning in Fog computing. This paper presents a classification of services according to their QoS requirements as well as Class of Service for fog applications. This will facilitate the decision-making process for fog scheduler, and specifically to identify the timescale and location of resources, helping to make scalable the deployment of new applications. Moreover, this paper introduces a mapping between the proposed classes of service and the processing layers of the Fog computing reference architecture. The paper also discusses use cases in which the proposed classification of services would be helpful.","PeriodicalId":190644,"journal":{"name":"2017 IEEE 9th Latin-American Conference on Communications (LATINCOM)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 9th Latin-American Conference on Communications (LATINCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LATINCOM.2017.8240187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
Although Fog computing specifies a scalable architecture for computation, communication and storage, there is still a demand for better Quality of Service (QoS), especially for agile mobile services. Both industry and academia have been working on novel and efficient mechanisms for QoS provisioning in Fog computing. This paper presents a classification of services according to their QoS requirements as well as Class of Service for fog applications. This will facilitate the decision-making process for fog scheduler, and specifically to identify the timescale and location of resources, helping to make scalable the deployment of new applications. Moreover, this paper introduces a mapping between the proposed classes of service and the processing layers of the Fog computing reference architecture. The paper also discusses use cases in which the proposed classification of services would be helpful.