A configuration management assessment method for SON verification

Tsvetkov, Tsvetko; Nováczki, Szabolcs; Sanneck, Henning; Carle, Georg

doi:10.1109/iswcs.2014.6933382

Cited by 11 publications

(8 citation statements)

References 7 publications

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“…Furthermore, areas of dense traffic, difficult environments and known trouble spots can be considered during the selection process as well [9]. Another possible solution is to consider the cell neighbor relations, e.g., by taking the first degree neighbors of the reconfigured cell [7]. In a mobile network two cells are neighbors when they have a common coverage area so that a handover of User Equipments (UEs) can be made.…”

Section: A Backgroundmentioning

confidence: 99%

“…For this purpose we require a SON coordinator to prevent other function instances from performing any changes for those areas. However, this might not be always a suitable solution for real world scenarios since the verification area may comprise of more than hundred cells if we just take the direct neighbors of a single cell [7].…”

Section: Solutionsmentioning

confidence: 99%

“…Furthermore, the duration of a period depends on the granularity for gathering PM data from the network. For instance, it can correspond to an hour if KPIs are exported on hourly basis as presented in [7]. Then, we standardize the gathered data by computing the z-score of each data point X 1 .…”

Section: The Son Verification Functionmentioning

confidence: 99%

“…During the third phase root cause analysis is performed with a possible outcome of a corrective action. Typically, this action is a CM undo of the network parameters that have caused an undesired network behavior [7]. In addition, to improve the correctness of the diagnosis a scoring system can be used that rewards a corrective action if it has had a positive effect on the network [8].…”

Section: Introductionmentioning

confidence: 99%

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A graph coloring approach for scheduling undo actions in self-organizing networks

Tsvetkov

Sanneck

Carle

2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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In a mobile Self-Organizing Network (SON) a coordinator is necessary to avoid the execution of conflicting SON function instances. Typically, such a coordinator bases its decision to accept or reject a network parameter change request on a rule set that considers only known conflicts. Moreover, it does not observe the impact of approved changes on the network. For this reason, SON verification approaches have been specified to assess the impact of deployed configuration changes and identify those that are causing an undesired network behavior. Similarly to anomaly detection techniques, a SON verification mechanism has a mathematical model that specifies how the network behavior should look like and defines any behavior that significantly deviates form the expectations as abnormal. Furthermore, the outcome is a corrective action, also called an undo action, that sets network parameters to some previous configuration.The question that often remains unanswered is how conflicting undo actions should be scheduled. A SON coordinator does not have the knowledge to resolve them and may, therefore, prevent such from being deployed. In this paper we present a scheduling approach of such undo actions that uses minimum graph coloring in order to identify the sets of cells whose configuration can be safely rolled back. Our evaluation is split in two parts. In the first part we highlight the importance of our approach by observing a real Long Term Evolution (LTE) network. The second part is based on simulation data in which we show the ability of our method to keep the performance of the network at a high level.

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Section: A Backgroundmentioning

confidence: 99%

Section: Solutionsmentioning

confidence: 99%

Section: The Son Verification Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A graph coloring approach for scheduling undo actions in self-organizing networks

Tsvetkov

Sanneck

Carle

2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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“…However, pre-action coordination can only prevent potential conflicts that are known beforehand. As a consequence, the concept of SON verification has been developed [5,7,17]. It automatically verifies the impact of configuration changes and, in case a degradation is detected, returns the network to the last known stable configuration by performing a rollback of the changes.…”

Section: Introductionmentioning

confidence: 99%

Network Element Stability Aware Method for Verifying Configuration Changes in Mobile Communication Networks

Ali-Tolppa

Tsvetkov

2016

Management and Security in the Age of Hyperconnectivity

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Test Recommendation for Service Validation in 5G Networks

Touloupos

Kapassa

Kyriazis

et al. 2020

Information Systems

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System Testing is the testing of a fully integrated software, as well as a series of different tests whose purpose is to exercise the full computer-based system. Software testing though, is an arduous and expensive activity. In the context of manual testing, any effort to reduce the test execution time and to increase defect findings is welcome. One of the biggest challenges in the upcoming 5G era is the validation and verification of VNFs and NSs, so that operators can be sure of their behavior in different execution environments. 5G technologies as well as SDNs are already introducing great challenges in the field service validation, testing and optimization of the underlying network. Considering the above, we propose a recommendation system acting as a Decision Support Mechanism integrated in an SDN environment. Its purpose is the proposition of tests to the software developers towards a stable NS ready to be deployed to the production environment.

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A configuration management assessment method for SON verification

Cited by 11 publications

References 7 publications

A graph coloring approach for scheduling undo actions in self-organizing networks

A graph coloring approach for scheduling undo actions in self-organizing networks

Network Element Stability Aware Method for Verifying Configuration Changes in Mobile Communication Networks

Test Recommendation for Service Validation in 5G Networks

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