Advanced Control Distributed Processing Architecture (ACDPA) using SDN and Hadoop for identifying the flow characteristics and setting the quality of service(QoS) in the network

Abhijeet Desai, K. S. Nagegowda
{"title":"Advanced Control Distributed Processing Architecture (ACDPA) using SDN and Hadoop for identifying the flow characteristics and setting the quality of service(QoS) in the network","authors":"Abhijeet Desai, K. S. Nagegowda","doi":"10.1109/IADCC.2015.7154814","DOIUrl":null,"url":null,"abstract":"Today the network is seemingly complex and vast and it is difficult to gauge its characteristics. Network administrators need information to check the network behavior for capacity planning, quality of service requirements and planning for the expansion of the network. Software defined networking (SDN) is an approach where we introduce abstraction to simplify the network into two layers, one used for controlling the traffic and other for forwarding the traffic. Hadoop is used for distributed processing. In this paper we combine the abstraction property of SDN and the processing power Hadoop to propose an architecture which we call as Advanced Control Distributed Processing Architecture (ACDPA), which is used to determine the flow characteristics and setting the priority of the flows i.e. essentially setting the quality of service(QoS). We provide experimental details with sample traffic to show how to setup this architecture. We also show the results of traffic classification and setting the priority of the hosts.","PeriodicalId":123908,"journal":{"name":"2015 IEEE International Advance Computing Conference (IACC)","volume":"348 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Advance Computing Conference (IACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IADCC.2015.7154814","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

Today the network is seemingly complex and vast and it is difficult to gauge its characteristics. Network administrators need information to check the network behavior for capacity planning, quality of service requirements and planning for the expansion of the network. Software defined networking (SDN) is an approach where we introduce abstraction to simplify the network into two layers, one used for controlling the traffic and other for forwarding the traffic. Hadoop is used for distributed processing. In this paper we combine the abstraction property of SDN and the processing power Hadoop to propose an architecture which we call as Advanced Control Distributed Processing Architecture (ACDPA), which is used to determine the flow characteristics and setting the priority of the flows i.e. essentially setting the quality of service(QoS). We provide experimental details with sample traffic to show how to setup this architecture. We also show the results of traffic classification and setting the priority of the hosts.
ACDPA (Advanced Control Distributed Processing Architecture),采用SDN和Hadoop技术,用于识别网络中的流特征和设置QoS (quality of service)
今天,这个网络看起来复杂而庞大,很难衡量它的特点。网络管理员在进行容量规划、业务质量要求和网络扩展规划时,需要了解网络运行状况。软件定义网络(SDN)是一种引入抽象的方法,将网络简化为两层,一层用于控制流量,另一层用于转发流量。Hadoop用于分布式处理。在本文中,我们结合SDN的抽象特性和Hadoop的处理能力提出了一种架构,我们称之为高级控制分布式处理架构(ACDPA),它用于确定流特征和设置流的优先级,即本质上设置服务质量(QoS)。我们提供了示例流量的实验细节,以展示如何设置此架构。我们还展示了流量分类和设置主机优先级的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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