CNOM, IFIP WG 6.6, the IRTF NMRG, and the EMANICS Network of Excellence, have developed a taxonomy for network and service management. The goal of this taxonomy is to structure the research area in terms of a two-level, well-defined set of keywords. These keywords can be used by authors to annotate their papers and, more generally, by researchers to indicate their area of expertise and interest. By matching paper keywords to reviewers expertise, organizers of journals and conferences can use this taxonomy to improve quality of reviews.

The taxonomy has two levels: the first level indicates a broad area, whereas the second level refines that area. Keywords from both levels can be used to annotate papers and express areas of expertise. Since keywords are not orthogonal, multiple keywords may be selected. The taxonomy has already been implemented in JEMS, and will also be used for journals such as IJNM. Note that, if desired, authors and conference organizers can extend the taxonomy for their specific purpose. The keywords defined in this taxonomy should not be modified, however.

Note that the Association for Computing Machinery (ACM) has also created a two level classification system, which structures the general area of computer-science. This system has been taken over by others, including IEEE. The network and service management taxonomy can be seen as an extension of that system.

Network and Services Management Taxonomy (by Jan. 2016) [1]

1. Network Management
  • IP networks
  • Wireless networks and cellular networks
  • Optical networks
  • Overlay networks
  • Virtual networks
  • Home networks
  • Access networks
  • Enterprise networks and campus networks
  • Data center networks
  • SCADA networks and distributed control systems
  • Wireless sensor networks
  • Internet of Things networks
  • Information-centric networks
  • Software-defined networks
2. Service Management
  • Multimedia services
  • Content delivery services
  • Cloud computing services
  • Internet connectivity and Internet access services
  • Internet of Things services
  • Security services
  • Context-aware services
  • Information technology services
3. Business Management
  • Economic aspects
  • Multi-stakeholder aspects
  • Service level agreements
  • Lifecycle aspects
  • Process and workflow aspects
  • Legal perspective
  • Regulatory perspective
  • Privacy aspects
4. Functional Areas
  • Fault management
  • Configuration management
  • Accounting management
  • Performance management
  • Security management
5. Management Paradigms
  • Centralized management
  • Hierarchical management
  • Distributed management
  • Federated management
  • Autonomic and cognitive management
  • Policy-based management
  • Pro-active management
  • Energy-aware management
  • Quality of experience-centric management
6. Technologies
  • Communication protocols
  • Middleware
  • Overlay networks
  • Cloud computing and cloud storage
  • Data models, information models semantic models
  • Information visualization
  • Software-defined networking
  • Network function virtualization
  • Orchestration
  • Operations support systems and business support systems
7. Methods
  • Mathematical logic and automated reasoning
  • Mathematical optimization
  • Control theory
  • Probability theory, stochastic processes, and queuing theory
  • Machine learning
  • Evolutionary algorithms
  • Economic theory and game theory
  • Network monitoring and measurements
  • Data mining and (big) data analysis
  • Computer simulation experiments
  • Prototype implementation and testbed experimentation
  • Field trials


1. dos Santos, Carlos Raniery Paula; Famaey, Jeroen; Schönwälder, Jürgen; Granville, Lisandro Zambenedetti; Pras, Aiko; De Turck, Filip (2016). “Taxonomy for the Network and Service Management Research Field”. Journal of Network and Systems Management. ISSN  1064-7570. doi:10.1007/s10922-015-9363-7.