分布式协同容器平台分析式负载均衡的设计与实现

Jae-Seung Han, J. An, Younghwan Kim
{"title":"分布式协同容器平台分析式负载均衡的设计与实现","authors":"Jae-Seung Han, J. An, Younghwan Kim","doi":"10.1145/3400286.3418277","DOIUrl":null,"url":null,"abstract":"Container-based Micro Service technology has problems with the limitations of resource expansion and the inability to move services between container platforms to respond to growing user traffic. For this reason, distributed collaborative container plat-form(DCCP) technology has emerged that provides the expansion and availability of services and enables collaboration among locally distributed container platforms. DCCP is an essential technology to overcome the limitations of existing stand-alone container platforms by maximizing flexible expansion of resources and service mobility through collaboration between distributed platforms. In this paper, the inter-platform traffic load balancing technology is proposed to construct DDCP. The proposed technology analyzes the user's traffic, identifies the user's geographic location information, and calculates scores for each distributed platform. The scoring method calculates the geographical score based on the platform's geographical location information and the user's geographical location, and calculates the resource score by analyzing the platform's resource status. Transport traffic through the calculated geographical scores and resource scores to the platform that holds the highest scores. The proposed technology provides analytical load balancing technology that addresses the non-efficient problem of randomly dispersing loads on existing independent platforms by load balancing according to the location and resource status of the platform.","PeriodicalId":326100,"journal":{"name":"Proceedings of the International Conference on Research in Adaptive and Convergent Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Implementation of Analytical Load Balancing between Distributed Collaborative Container Platforms\",\"authors\":\"Jae-Seung Han, J. An, Younghwan Kim\",\"doi\":\"10.1145/3400286.3418277\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Container-based Micro Service technology has problems with the limitations of resource expansion and the inability to move services between container platforms to respond to growing user traffic. For this reason, distributed collaborative container plat-form(DCCP) technology has emerged that provides the expansion and availability of services and enables collaboration among locally distributed container platforms. DCCP is an essential technology to overcome the limitations of existing stand-alone container platforms by maximizing flexible expansion of resources and service mobility through collaboration between distributed platforms. In this paper, the inter-platform traffic load balancing technology is proposed to construct DDCP. The proposed technology analyzes the user's traffic, identifies the user's geographic location information, and calculates scores for each distributed platform. The scoring method calculates the geographical score based on the platform's geographical location information and the user's geographical location, and calculates the resource score by analyzing the platform's resource status. Transport traffic through the calculated geographical scores and resource scores to the platform that holds the highest scores. The proposed technology provides analytical load balancing technology that addresses the non-efficient problem of randomly dispersing loads on existing independent platforms by load balancing according to the location and resource status of the platform.\",\"PeriodicalId\":326100,\"journal\":{\"name\":\"Proceedings of the International Conference on Research in Adaptive and Convergent Systems\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"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/10.1145/3400286.3418277\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Research in Adaptive and Convergent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3400286.3418277","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

基于容器的微服务技术存在资源扩展限制和无法在容器平台之间移动服务以响应不断增长的用户流量等问题。由于这个原因,分布式协作容器平台(DCCP)技术已经出现,它提供了服务的扩展和可用性,并支持本地分布式容器平台之间的协作。DCCP是克服现有独立容器平台局限性的关键技术,通过分布式平台之间的协作,最大限度地实现资源的灵活扩展和服务的移动性。本文提出了跨平台流量负载均衡技术来构建DDCP。该技术分析用户的流量,识别用户的地理位置信息,并计算每个分布式平台的分数。该评分方法根据平台的地理位置信息和用户的地理位置计算地理分数,通过分析平台的资源状况计算资源分数。运输流量通过计算地理分数和资源分数到得分最高的平台。该技术提供了一种分析负载均衡技术,通过根据平台的位置和资源状态进行负载均衡,解决了现有独立平台上随机分散负载的低效问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Implementation of Analytical Load Balancing between Distributed Collaborative Container Platforms
Container-based Micro Service technology has problems with the limitations of resource expansion and the inability to move services between container platforms to respond to growing user traffic. For this reason, distributed collaborative container plat-form(DCCP) technology has emerged that provides the expansion and availability of services and enables collaboration among locally distributed container platforms. DCCP is an essential technology to overcome the limitations of existing stand-alone container platforms by maximizing flexible expansion of resources and service mobility through collaboration between distributed platforms. In this paper, the inter-platform traffic load balancing technology is proposed to construct DDCP. The proposed technology analyzes the user's traffic, identifies the user's geographic location information, and calculates scores for each distributed platform. The scoring method calculates the geographical score based on the platform's geographical location information and the user's geographical location, and calculates the resource score by analyzing the platform's resource status. Transport traffic through the calculated geographical scores and resource scores to the platform that holds the highest scores. The proposed technology provides analytical load balancing technology that addresses the non-efficient problem of randomly dispersing loads on existing independent platforms by load balancing according to the location and resource status of the platform.
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:481959085
Book学术官方微信