Network monitoring: Present and future

Lee, Sihyung; Levanti, Kyriaki; Kim, Hyong S.

doi:10.1016/j.comnet.2014.03.007

Cited by 84 publications

(30 citation statements)

References 80 publications

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“…Accurate and efficient monitoring is vital to ensure that the network operates according to the intended behavior and then to troubleshoot any deviations. The current practice of user behavior control largely depends on manual operations, and thus enterprises spend a significant portion of their budgets on the workforce that monitor their networks [10]. Reference [10] analyzes present network-monitoring technologies, identify open problems, and suggest future directions.…”

Section: Rmentioning

confidence: 99%

“…The current practice of user behavior control largely depends on manual operations, and thus enterprises spend a significant portion of their budgets on the workforce that monitor their networks [10]. Reference [10] analyzes present network-monitoring technologies, identify open problems, and suggest future directions. In the network behavior monitoring, some commercial filtering systems at present are developed using either source-based blocking techniques or content-based filtering techniques.…”

Section: Rmentioning

confidence: 99%

See 1 more Smart Citation

PM-IUBC: A P2P and MongoDB based Intranet User Behavior Control System

Dong¹,

Qian²,

Hua-xin³

et al. 2015

jcm

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It is important for a government unit or a company to monitor the intranet security and staffs' activities during the working time. Collecting and processing massive user behaviors is difficult in the distributed intranet with thousands of hosts. In view of this, this paper proposes a P2P and MongoDB based Intranet User Behavior Control system (PM-IUBC) which consists of the user terminal, the node sliding server overlay, the database cluster and the monitor center. The user behavior control is implemented on the filter driver embedded in the user terminal, and a slice node server overlay is constructed on Pastry. A uniform light weight communication framework is designed to simplify network programming, and a MongoDB with auto shard based log database is configured to store massive user behavior logs. The user behaviors about operating software applications, removable storage devices and files can be monitored and controlled. Experiment results show that PM-IUBC can control the user behaviors and has good concurrency and scalability. 

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Section: Rmentioning

confidence: 99%

Section: Rmentioning

confidence: 99%

PM-IUBC: A P2P and MongoDB based Intranet User Behavior Control System

Dong¹,

Qian²,

Hua-xin³

et al. 2015

jcm

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“…Many researchers have studied systems monitoring, but their scope was different than that of this paper. Scientists analyzed monitoring solutions regarding areas of network management [4], cloud monitoring [5][6][7][8], monitoring of grid systems [9,10], and distributed systems located in one data center [11][12][13][14][15]. Many of these papers represent monitoring operations in logical layers, such as collection, representation, report, analysis, and presentation, as mentioned in the work of Lee et al This paper focuses on the collection layer and discusses the impact of network latency while collecting raw measurements from systems located in multiple geographic locations.…”

Section: Related Workmentioning

confidence: 99%

“…Further reductions can be achieved when a set of thresholds are established [4]. These thresholds will classify whether the collected event should be dealt with locally or sent immediately to the monitoring system or be transmitted in the next cumulative batch, which, for example, occurs once per hour or once per day.…”

Section: Distributor Concept In Events Data Collectionmentioning

confidence: 99%

Network Latency in Systems Event Monitoring for Multiple Locations

Kufel

2015

Scientific Programming

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Network latency is one of the key parameters to consider when designing and implementing remote monitoring for security and system events. This paper describes how network latency may impact monitoring over wide area networks, especially when the monitoring system is hundreds or thousands of miles away from the monitored servers. Furthermore, an idea of local distributor is proposed to reduce the time of events data collection from multiple geographic locations.

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“…To enable a human user to monitor and understand complex network management operations, intelligent storage and presentation of data is needed [22]. In this work, the OWL 2 model targets this issue with a semantic representation of the network state and the related automated configurations.…”

Section: Introductionmentioning

confidence: 99%

Combining ontological modelling and probabilistic reasoning for network management

Apajalahti

Hyvönen

Niiranen

et al. 2017

AIS

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Advanced automation is needed in future mobile networks to provide adequate service quality economically and with high reliability. In this paper, a system is presented that takes into account the network context, analyses uncertain information, and infers network configurations by means of probabilistic reasoning. The system introduced in this paper is an experimental platform integrating a mobile network simulator, a Markov Logic Network (MLN) model, and an OWL 2 ontology into a runtime environment that can be monitored via a Resource Description Framework (RDF)-based user interface. In this approach, the OWL ontology contains a semantic representation of the relevant concepts, and the MLN model evaluates elements of uncertain information. Experiments based on a prototype implementation demonstrate the value of semantic modelling and probabilistic reasoning in network status characterization, optimization, and visualization.

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Network monitoring: Present and future

Cited by 84 publications

References 80 publications

PM-IUBC: A P2P and MongoDB based Intranet User Behavior Control System

PM-IUBC: A P2P and MongoDB based Intranet User Behavior Control System

Network Latency in Systems Event Monitoring for Multiple Locations

Combining ontological modelling and probabilistic reasoning for network management

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