Home Network Management Policies: Putting the User in the Loop

2012 ◽  
Author(s):  
Dimosthenis Pediaditakis ◽  
Anandha Gopalan ◽  
Naranker Dulay ◽  
Morris Sloman ◽  
Tom Lodge
Keyword(s):  
Network Management ◽  
Home Network ◽  
Management Policies

scholarly journals Supporting novel home network management interfaces with openflow and NOX

2011 ◽  
Author(s):  
Richard Mortier ◽  
Ben Bedwell ◽  
Kevin Glover ◽  
Tom Lodge ◽  
Tom Rodden ◽  
...  
Keyword(s):  
Network Management ◽  
Home Network

A REVIEW OF ‘HUMAN-COMPUTER INTERACTION’ INFLUENCE TO HOME NETWORK: A REVIEW OF HCI INFLUENCE TO HN

2015 ◽  
Vol 75 (3) ◽  
Author(s):  
Erman Hamid ◽  
Azizah Jaafar ◽  
Ang Mei Choo
Keyword(s):  
Human Computer Interaction ◽  
Network Management ◽  
Home Network ◽  
Management Tools ◽  
Home Networking ◽  
Future Work ◽  
Computer Interaction

There has been a number of researches carried out on Human-Computer Interaction (HCI) impact to home networking. Many researchers have stated that the HCI elements are the most important aspects to be considered in making user understand some of issues concerning the Home Network. This paper reviews the existing research related to Human-Computer Interaction, Home Network and Network Management. This paper seeks to identify the effectiveness of existing Network Management Tools and the importance of HCI in dealing with it. In addition, this paper looks into the potential future work that could be done in order to archive desirable goals of Home Network.

scholarly journals NORA: An Approach for Transforming Network Management Policies into Automated Planning Problems

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1790
Author(s):  
Angela Rodriguez-Vivas ◽  
Oscar Mauricio Caicedo ◽  
Armando Ordoñez ◽  
Jéferson Campos Nobre ◽  
Lisandro Zambenedetti Granville
Keyword(s):  
Natural Language ◽  
Network Management ◽  
Language Processing ◽  
Automated Planning ◽  
Management Control ◽  
Management Scenarios ◽  
Autonomic Management ◽  
Management Policies ◽  
Network Status ◽  
Network Administrators

Realizing autonomic management control loops is pivotal for achieving self-driving networks. Some studies have recently evidence the feasibility of using Automated Planning (AP) to carry out these loops. However, in practice, the use of AP is complicated since network administrators, who are non-experts in Artificial Intelligence, need to define network management policies as AP-goals and combine them with the network status and network management tasks to obtain AP-problems. AP planners use these problems to build up autonomic solutions formed by primitive tasks that modify the initial network state to achieve management goals. Although recent approaches have investigated transforming network management policies expressed in specific languages into low-level configuration rules, transforming these policies expressed in natural language into AP-goals and, subsequently, build up AP-based autonomic management loops remains unexplored. This paper introduces a novel approach, called NORA, to automatically generate AP-problems by translating Goal Policies expressed in natural language into AP-goals and combining them with both the network status and the network management tasks. NORA uses Natural Language Processing as the translation technique and templates as the combination technique to avoid network administrators to learn policy languages or AP-notations. We used a dataset containing Goal Policies to evaluate the NORA’s prototype. The results show that NORA achieves high precision and spends a short-time on generating AP-problems, which evinces NORA aids to overcome barriers to using AP in autonomic network management scenarios.

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