Towards a holistic semantic support for context-aware network monitoringAn ontology-based approach

被引:0
|
作者
Paulo Carvalho
Solange Rito Lima
Luis Álvarez Sabucedo
Juan M. Santos-Gago
João Marco C. Silva
机构
[1] Centro Algoritmi,Department of Telematics Engeneering
[2] Universidade do Minho,undefined
[3] AtlanTTic,undefined
[4] University of Vigo,undefined
[5] HASLab,undefined
[6] INESC TEC,undefined
[7] Universidade do Minho,undefined
来源
Computing | 2020年 / 102卷
关键词
Recommendation systems; Expert systems; Ontology; Semantic rules; Network monitoring; Traffic sampling; 68M10; 68M11; 68M12; 68Q55;
D O I
暂无
中图分类号
学科分类号
摘要
Monitoring current communication networks and services is an increasingly complex task as a result of a growth in the number and variety of components involved. Moreover, different perspectives on network monitoring and optimisation policies must be considered to meet context-dependent monitoring requirements. To face these demanding expectations, this article proposes a semantic-based approach to support the flexible configuration of context-aware network monitoring, where traffic sampling is used to improve efficiency. Thus, a semantic layer is proposed to provide with a standard and interoperable description of the elements, requirements and relevant features in the monitoring domain. On top of this description, semantic rules are applied to make decisions regarding monitoring and auditing policies in a proactive and context-aware manner. Use cases focusing on traffic accounting and traffic classification as monitoring tasks are also provided, demonstrating the expressiveness of the ontology and the contribution of smart SWRL rules for recommending optimised configuration profiles.
引用
收藏
页码:2565 / 2585
页数:20
相关论文
共 50 条
  • [1] Towards a holistic semantic support for context-aware network monitoring An ontology-based approach
    Carvalho, Paulo
    Lima, Solange Rito
    Sabucedo, Luis Alvarez
    Santos-Gago, Juan M.
    Silva, Joao Marco C.
    COMPUTING, 2020, 102 (12) : 2565 - 2585
  • [2] Ontology-based Matchmaking Approach for Context-aware Recommendations
    Naudet, Yannick
    Mignon, Sabrina
    Lecaque, Lionel
    Hazotte, Cyril
    Groues, Valentin
    FOURTH INTERNATIONAL CONFERENCE ON AUTOMATED SOLUTIONS FOR CROSS MEDIA CONTENT AND MULTI-CHANNEL DISTRIBUTION, PROCEEDINGS, 2008, : 218 - 223
  • [3] An ontology-based model for context-aware
    Yan, Zhongmin
    Li, Qingzhong
    Li, Hui
    2006 1ST INTERNATIONAL SYMPOSIUM ON PERVASIVE COMPUTING AND APPLICATIONS, PROCEEDINGS, 2006, : 647 - +
  • [4] Context-aware, ontology-based recommendations
    Räck, C
    Arbanowski, S
    Steglich, S
    INTERNATIONAL SYMPOSIUM ON APPLICATIONS AND THE INTERNET WORKSHOPS, PROCEEDINGS, 2006, : 98 - 104
  • [5] Ontology-based semantic recommendation for context-aware e-learning
    Yu, Zhiwen
    Nakamura, Yuichi
    Jang, Seiie
    Kajita, Shoji
    Mase, Kenji
    UBIQUITOUS INTELLIGENCE AND COMPUTING, PROCEEDINGS, 2007, 4611 : 898 - +
  • [6] Ontology-based Semantic Similarity in Generating Context-aware Collaborator Recommendations
    Li, Siying
    Abel, Marie-Helene
    Negre, Elsa
    PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD), 2021, : 751 - 756
  • [7] Ontology-based Context-Aware Model by Applying Bayesian Network
    Mok, Jinhyuk
    Min, Hongki
    2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD), 2015, : 2660 - 2664
  • [8] Ontology-Based Modeling of Context-Aware Systems
    Lueddecke, Daniel
    Bergmann, Nina
    Schaefer, Ina
    MODEL-DRIVEN ENGINEERING LANGUAGES AND SYSTEMS, MODELS 2014, 2014, 8767 : 484 - 500
  • [9] Ontology-based modeling of context-aware systems
    Lüddecke, Daniel
    Bergmann, Nina
    Schaefer, Ina
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8767 : 484 - 500
  • [10] Context-aware, ontology-based service discovery
    Broens, T
    Pokraev, S
    van Sinderen, M
    Koolwaaij, J
    Costa, PB
    AMBIENT INTELLIGENCE, PROCEEDINGS, 2004, 3295 : 72 - 83