通过提高服务质量构建可扩展的移动边缘计算

Mayank Tiwary, Shanya Sharma, Pritish Mishra, H. El-Sayed, M. Prasad, Deepak Puthal
{"title":"通过提高服务质量构建可扩展的移动边缘计算","authors":"Mayank Tiwary, Shanya Sharma, Pritish Mishra, H. El-Sayed, M. Prasad, Deepak Puthal","doi":"10.1109/INNOVATIONS.2018.8605955","DOIUrl":null,"url":null,"abstract":"With the new computing archutecture supported by Mobile Edge Computing (MEC) brings services to the physical proximity of end users, resource rich mobile devices such as smartphones can now offer computational services to another smartphones. Leveraging the computational resources from mobile cloudlet clusters the availability of mobile nodes is the most important attribute. The effect of movement of mobile devices in real life scenarios has not been captured reliably. This work focuses on improving the Quality of Service (QoS) by considering the effect of mobility deviation. This paper presents an dynamic pricing model which calculates the deviation of the contributors and optimises the price depending on the demand-supply curve. Finally, the proposed scheme is simulated in NS3 environment and is compared with existing schemes to validate the performance of proposed scheme. We observe that there is a proposed steep increase in overall utility in terms of response time and resource utilization with the proposed scheme.","PeriodicalId":319472,"journal":{"name":"2018 International Conference on Innovations in Information Technology (IIT)","volume":"239 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Building Scalable Mobile Edge Computing by Enhancing Quality of Services\",\"authors\":\"Mayank Tiwary, Shanya Sharma, Pritish Mishra, H. El-Sayed, M. Prasad, Deepak Puthal\",\"doi\":\"10.1109/INNOVATIONS.2018.8605955\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the new computing archutecture supported by Mobile Edge Computing (MEC) brings services to the physical proximity of end users, resource rich mobile devices such as smartphones can now offer computational services to another smartphones. Leveraging the computational resources from mobile cloudlet clusters the availability of mobile nodes is the most important attribute. The effect of movement of mobile devices in real life scenarios has not been captured reliably. This work focuses on improving the Quality of Service (QoS) by considering the effect of mobility deviation. This paper presents an dynamic pricing model which calculates the deviation of the contributors and optimises the price depending on the demand-supply curve. Finally, the proposed scheme is simulated in NS3 environment and is compared with existing schemes to validate the performance of proposed scheme. We observe that there is a proposed steep increase in overall utility in terms of response time and resource utilization with the proposed scheme.\",\"PeriodicalId\":319472,\"journal\":{\"name\":\"2018 International Conference on Innovations in Information Technology (IIT)\",\"volume\":\"239 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Innovations in Information Technology (IIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INNOVATIONS.2018.8605955\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Innovations in Information Technology (IIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INNOVATIONS.2018.8605955","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

随着移动边缘计算(MEC)支持的新计算架构将服务带到终端用户的物理附近,资源丰富的移动设备(如智能手机)现在可以为另一个智能手机提供计算服务。利用来自移动云集群的计算资源,移动节点的可用性是最重要的属性。在现实生活场景中,移动设备的移动效果还没有得到可靠的捕捉。本文的研究重点是通过考虑移动性偏差的影响来提高服务质量。本文提出了一种动态定价模型,该模型根据供需曲线计算参与者的偏差并优化价格。最后,在NS3环境下对所提方案进行了仿真,并与现有方案进行了比较,验证了所提方案的性能。我们观察到,在响应时间和资源利用率方面,拟议方案的总体效用有了大幅增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building Scalable Mobile Edge Computing by Enhancing Quality of Services
With the new computing archutecture supported by Mobile Edge Computing (MEC) brings services to the physical proximity of end users, resource rich mobile devices such as smartphones can now offer computational services to another smartphones. Leveraging the computational resources from mobile cloudlet clusters the availability of mobile nodes is the most important attribute. The effect of movement of mobile devices in real life scenarios has not been captured reliably. This work focuses on improving the Quality of Service (QoS) by considering the effect of mobility deviation. This paper presents an dynamic pricing model which calculates the deviation of the contributors and optimises the price depending on the demand-supply curve. Finally, the proposed scheme is simulated in NS3 environment and is compared with existing schemes to validate the performance of proposed scheme. We observe that there is a proposed steep increase in overall utility in terms of response time and resource utilization with the proposed scheme.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信