Sürdürülebilir Ağ Yönetimi için Performans Metrikleri ve İzleme Araçları

Year 2021, , 37 - 51, 30.01.2021

İbrahim Duman , Uğur Eliiyi

https://doi.org/10.17671/gazibtd.780504

Cited By: 1

Abstract

Ağ altyapıları, görece mikro ölçekli ofis veya üniversite kampüslerinden makro ölçekli akıllı şehirler veya ulusal savunma sistemleri gibi yapılara kadar değişen büyüklükleri ile modern yaşamımızın omurgasını oluşturmaktadır. Buna bağlı olarak sağlanan hizmetlerin ve ağ altyapılarının kalitesinin ve sürdürülebilirliğinin etkin yönetimi modern hizmet sağlayıcılar için vazgeçilmez hale gelmiştir. Bu çalışmada güvenilirlik, kullanılabilirlik ve sürdürülebilirlik gibi standart özellikler göz önünde bulundurularak ağ performans yönetimi ve sürdürülebilir ağ altyapılarının yatırım seviyeleri için çeşitli sorular belirlenmiştir. Aynı zamanda ağ verimliliğini ve sürdürülebilirliğini ölçmek için kullanılabilecek yazılım araçlarıyla birlikte performans yönetimi süreçlerinin çeşitli aşamaları açıklanmıştır. Bilgi ve iletişim teknolojileri için temel anahtar performans göstergesi kategorileri ve tanımları çalışmamızda ağ yönetimi bağlamındaki işlevlerine göre derlenmiştir. Bir ağ üzerinde sağlanan hizmetlerin önemine bağlı olarak farklı uygulayıcılar için altyapının izlenmesine yönelik farklı performans yönetim sistemlerinin geliştirilmesi gereklidir. İhtiyaç duyulan yönetim sistemlerinin geliştirilmesi bu çalışmada kapsamlı bir şekilde derlenmiş gösterge ve yazılım araçlarının entegre edilmesi yoluyla mümkün olabilecektir.

Keywords

Ağ altyapısı, Temel performans göstergesi, Ağ yönetimi, Ağ verimliliği, Ağ sürdürülebilirliği, Performans izleme

Performance Metrics and Monitoring Tools for Sustainable Network Management

Abstract

Network infrastructures comprise the backbone of our modern life, ranging in scale from relatively micro-level settings of offices or university campuses, to macro-level structures such as smart cities or national defense systems. Consequently, effective management of the quality and sustainability of provided services and network infrastructures has grown to be essential for modern service providers. Considering standard features like reliability, availability and maintainability, several questions are identified in this study for network performance management and investment levels of sustainable network infrastructures. We describe various stages of the performance management processes, along with corresponding software tools to measure network efficiency and sustainability for information and communications technologies. Fundamental key performance indicator categories and their definitions are also compiled according to their functions within the network management context. Depending on the importance of services provided on a network, it is necessary to develop different performance management systems for monitoring the infrastructure for different practitioners. The development of required management systems will be possible by integrating the comprehensive compilation of indicators and software tools presented in this study.

Keywords

Network infrastructure, Key performance indicator, Network management, Network efficiency, Network sustainability, Performance monitoring

References

• S. McGill, Network performance management using application-centric key performance indicators, Phd Thesis, University of Central Florida, College of Engineering and Computer Science, 2007.
• A. Adepetu, E. Arnautovic, D. Svetinovic, O. Weck, “Complex urban systems ICT infrastructure modeling: a sustainable city case study”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(3), 363–374, 2014.
• H. Rohani, A. K. Roosta, Calculating total system availability, Information Services Organization KLM-Air France, Amsterdam, 2014.
• N. R. N. Haizan, A. R. Alinda, A. R. Azizah, “The KPI development framework for ICTSQ measurement”, 3rd International Conference on Information and Financial Engineering 12, Shanghai, China, 274–279, 19-21 August, 2011.
• A. Schiff, J. Small, M. Ensor, Infrastructure Performance Indicator Framework Development, National Infrastructure Unit, The Treasury, New Zealand, 2013.
• B. Celebic, R. Breu, “Using green KPIs for large IT infrastructures’ energy and cost optimization”, 3rd International Conference on Future Internet of Things and Cloud, Rome, Italy, 645–650, 24-26 August, 2015.
• M. Al-Kuwaiti, N. Kyriakopoulos, S. Hussein, “A comparative analysis of network dependability, fault-tolerance, reliability, security, and survivability”, IEEE Communications Surveys & Tutorials, 11(2), 106–124, 2009.
• S. M. Al-Shehri, P. Loskot, T. Numanoglu, M. Mert, “Common metrics for analyzing, developing and managing telecommunication networks”, arXiv:1707.03290, 2017.
• Internet: Zabbix, Network monitoring, www.zabbix.com, 21.02.2020.
• Internet: openDCIM, Data center infrastructure management, opendcim.org, 15.02.2020.
• Internet: Sunbird, dcTrack data center infrastructure management, https://www.sunbirddcim.com, 15.02.2020.
• Internet: Raritan, Power IQ data center energy management and power monitoring, www.raritan.com, 15.02.2020.
• Internet: Txture, Data center energy management, txture.io, 15.02.2020.
• Internet: OTRS, Helpdesk ticket tracking, otrs.com, 16.02.2020.
• Internet: Best Practical, Request Tracker, Helpdesk ticket tracking, bestpractical.com, 16.02.2020.
• Internet: GLPI, Helpdesk ticket tracking, glpi-project.org, 16.02.2020.
• Internet: Kiwi Syslog, Log management, www.kiwisyslog.com, 21.02.2020.
• Internet: Elk Stack, Log management, elastic.co, 21.02.2020.
• Internet: MRTG, Network monitoring, mrtg.com, 21.02.2020.
• Internet: Cacti, Network monitoring, cacti.net, 21.02.2020.
• Internet: SolarWinds, Network monitoring and management, solarwinds.com, 21.02.2020.
• Internet: ManageEngine, Network monitoring and management, manageengine.com, 21.02.2020.
• Internet: Cisco, Cisco Prime network monitoring and management, cisco.com/c/en/us/products/cloud-systems-management/prime.html, 21.02.2020.
• Internet: Nagios, Service and application monitoring, nagios.com, 22.02.2020.
• Internet: CAIDA, Flow monitoring, FlowScan,caida.org, 22.02.2020.
• Internet: ntop, NPROBE flow monitoring, www.ntop.org, 22.02.2020.
• Internet: The Apache Software Foundation, Apache Metron security analytics, metron.apache.org, 28.02.2020.
• Internet: Cyphon, Security threat intelligence, cyphon.io, 28.02.2020.
• Internet: GOSINT, Security threat intelligence, gosint.readthedocs.io, 28.02.2020.
• Internet: AT&T, AlienVault OSSIM security management, cybersecurity.att.com/products/ossim, 18.07.2020.
• Internet: Security Onion, Security management, securityonion.net, 28.02.2020.
• Internet: Zeek Network Monitoring Project, Bro IDS network intrusion detection and prevention, github.com/bro, 28.02.2020.
• Internet: Snort, Network intrusion detection and prevention, snort.org, 28.02.2020.
• Internet: Suricata, Network threat detection, suricata-ids.org, 28.02.2020.
• Internet: OSSEC, Host-based network intrusion detection, www.ossec.net, 28.02.2020.
• Calyam, M. Dhanapalan, M. Sridharan, A. Krishnamurthy, R. Ramnath, “Topology-aware correlated network anomaly event detection and diagnosis”, Journal of Network and Systems Management, 22(2), 208–234, 2014.
• Axelos, ITIL Foundation, ITIL 4 Edition, TSO, London, UK, 2019.
• Internet: ISACA, COBIT, www.isaca.org/resources/cobit, 15.01.2020.
• A. Kwizera, C. Koçak, “Performance evaluation of tunneling mechanism in MIPv6 over IPv4”, Bilişim Teknolojileri Dergisi, 10(3), 327–334, 2017.
• A. N. Katov, Energy Efficient Mechanism for Next Generation Networks: Adaptive Resource Allocation, Master Thesis, Aalborg University, 2014.
• Internet: KPI Library, KPIs in information technology, kpilibrary.com/categories/itman, 10.05.2020.
• F. Abut, “A distributed measurement architecture for inferring TCP round-trip times through passive measurements”, Turkish Journal of Electrical Engineering & Computer Sciences, 27(3), 2106–2120, 2019.
• Internet: iPerf, Throughput measurement, https://iperf.fr, 25.04.2020.
• Internet: A. Grove, JPerf Java performance and scalability testing, sourceforge.net/projects/jperf, 25.04.2020.
• M. Jibril, Information & communications technology service - Review of KPI’s, Breckland: Breckland Council, 2005.
• T. Raza, M. Bin Muhammad, M. A. A. Majid, “A comprehensive framework and key performance indicators for maintenance performance measurement”, ARPN Journal of Engineering and Applied Sciences, 11(20), 12146–12152, 2016.
• E. Personal, J. I. Guerrero, A. Garcia, M. Pena, M., C. Leon, “Key performance indicators: A useful tool to assess Smart Grid goals”, Energy, 76, 976–988, 2014.
• I. Ouafaa, K. Salah-ddi̇ne, L. Jalal, E. Sai̇d, “The comparison study of hierarchical routing protocols for ad-hoc and wireless sensor networks: A literature survey”, Bilişim Teknolojileri Dergisi, 9(2), 71–79, 2016.
• National Academies of Sciences, Engineering, and Medicine. Information Technology Innovation: Resurgence, Confluence, and Continuing Impact, Washington, DC: The National Academies Press. https://doi.org/10.17226/25961, 2020.
• Internet: OpenFlow, SDN communications protocol, opennetworking.org, 01.12.2020.
• Internet: OpenDaylight, Open-source SDN controller, www.opendaylight.org, 01.12.2020.
• Internet: Pox, Open-source SDN controller, noxrepo.github.io/pox-doc/html/, 01.12.2020.
• Internet: Ryu, Open-source SDN controller, ryu-sdn.org, 01.12.2020.
• Internet: Open vSwitch, Open-source SDN controller, www.openvswitch.org, 01.12.2020.
• Internet: Mininet, Open-source SDN Emulator, www.mininet.org, 01.12.2020.
• A. Yassine, H. Rahimi, S. Shirmohammadi, “Software defined network traffic measurement: Current trends and challenges”, IEEE Instrumentation & Measurement Magazine, 18(2), 42–50, 2015