TY - GEN
T1 - Cloudifying mobile network management
T2 - 5th International Conference on Mobile Networks and Management, MONAMI 2013
AU - Dawar, Sumit
AU - van der Meer, Sven
AU - Keeney, John
AU - Fallon, Enda
AU - Bennet, Tom
N1 - Publisher Copyright:
© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2013.
PY - 2013
Y1 - 2013
N2 - With the ever increasing number of devices, nodes and the events they create, scalability and performance become important aspects for Operation Support Systems (OSS). One solution is to distribute the work load, i.e. ‘cloudify’ the formerly centralized monitoring and decision functions. This requires remodeling Complex Event Processing (monitoring) and Policies (decision making) towards a distributed yet coordinated system. This paper describes an extended architecture, implementation and performance tests for a policy-based event processing system. The main advantage of our approach is that we use policies for event pattern matching (an advanced form of Complex Event Processing) and for the selection of corrective actions (called Distributed Governance). Policies are (a) distributed (over multiple components) and (b) coordinated (using centralized authoring). The resulting system can deal with large numbers of incoming events, as is required in a telecommunication environment. Peak load will be well above 1 million events per second, combining different data sources of a mobile network. This paper presents the motivation for such a system, along with a comprehensive presentation of its design, implementation and evaluation.
AB - With the ever increasing number of devices, nodes and the events they create, scalability and performance become important aspects for Operation Support Systems (OSS). One solution is to distribute the work load, i.e. ‘cloudify’ the formerly centralized monitoring and decision functions. This requires remodeling Complex Event Processing (monitoring) and Policies (decision making) towards a distributed yet coordinated system. This paper describes an extended architecture, implementation and performance tests for a policy-based event processing system. The main advantage of our approach is that we use policies for event pattern matching (an advanced form of Complex Event Processing) and for the selection of corrective actions (called Distributed Governance). Policies are (a) distributed (over multiple components) and (b) coordinated (using centralized authoring). The resulting system can deal with large numbers of incoming events, as is required in a telecommunication environment. Peak load will be well above 1 million events per second, combining different data sources of a mobile network. This paper presents the motivation for such a system, along with a comprehensive presentation of its design, implementation and evaluation.
KW - Complex event processing
KW - Distributed processing
KW - Performance
KW - Rule system
UR - http://www.scopus.com/inward/record.url?scp=85009469025&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-04277-0_8
DO - 10.1007/978-3-319-04277-0_8
M3 - Conference contribution
AN - SCOPUS:85009469025
SN - 9783319042763
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 94
EP - 107
BT - Mobile Networks and Management - 5th International Conference, MONAMI 2013, Revised Selected Papers
A2 - Pesch, Dirk
A2 - Wenning, Bernd-Ludwig
A2 - Timm-Giel, Andreas
A2 - Calvo, Ramón Agüero
A2 - Pentikousis, Pentikousis
PB - Springer-Verlag GmbH and Co. KG
Y2 - 23 September 2013 through 25 September 2013
ER -