Applying Big Data Technologies to Manage QoS in an SDN

被引：0
|
作者：
Jain, Shashwat [1 ]
Khandelwal, Manish [1 ]
Katkar, Ashutosh [1 ]
Nygate, Joseph [1 ]
机构：
[1] Rochester Inst Technol, Rochester, NY 14623 USA
来源：
2016 12TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT AND WORKSHOPS(CNSM 2016) | 2016年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Managing QoS in a telecommunications network is a complex process. Effective network design and sizing in conjunction with load balancing, access control and traffic prioritization need to be orchestrated to optimize CAPEX investment, maximize network utilization and ensure that performance metrics and SLAs are met. This work shows how big data analytics were used to improve the management of QoS in an SDN by performing multi-dimensional analysis of Key Performance Indicators (KPIs) and applying machine learning algorithms to discover new correlations, perform root cause analysis and predict traffic congestion.
引用
收藏
页码：302 / 306
页数：5
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