Applying big data technologies to manage QoS in an SDN

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.

[1]  Stefan Kätker,et al.  Fault Isolation and Event Correlation for Integrated Fault Management , 1997, Integrated Network Management.

[2]  B. B. Meshram,et al.  Management of Networks Using SNMP , 2012 .

[3]  Antonio Pescapè,et al.  A tool for the generation of realistic network workload for emerging networking scenarios , 2012, Comput. Networks.

[4]  Salvatore J. Stolfo,et al.  A coding approach to event correlation , 1995, Integrated Network Management.

[5]  Nick McKeown,et al.  A network in a laptop: rapid prototyping for software-defined networks , 2010, Hotnets-IX.

[6]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[7]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.

[8]  Yu Hua,et al.  Mining and modelling the dynamic patterns of service providers in cellular data network based on big data analysis , 2013, China Communications.

[9]  G. Jakobson,et al.  Alarm correlation , 1993, IEEE Network.

[10]  Rakesh Kumar Jha,et al.  OpenFlow Technology: A Journey of Simulation Tools , 2014 .

[11]  Hidetoshi Yokota,et al.  An alarm correlation algorithm for network management based on root cause analysis , 2011, 13th International Conference on Advanced Communication Technology (ICACT2011).

[12]  Malgorzata Steinder,et al.  A survey of fault localization techniques in computer networks , 2004, Sci. Comput. Program..

[13]  Thomas Plevyak,et al.  Next Generation Telecommunications Networks, Services, and Management: Plevyak/Next Generation Telecommunications , 2010 .

[14]  Yossi A. Nygate,et al.  Event correlation using rule and object based techniques , 1995, Integrated Network Management.

[15]  Mei Song,et al.  The Study of Cross Networks Alarm Correlation Based on Big Data Technology , 2016, HCC.

[16]  Mischa Schwartz,et al.  Schemes for fault identification in communication networks , 1995, TNET.

[17]  Seraphin B. Calo,et al.  Alarm correlation and fault identification in communication networks , 1994, IEEE Trans. Commun..