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Provisioning of Fog Computing over Named-Data Networking in Dynamic Wireless Mesh Systems
Roman Glazkov1, Dmitri Moltchanov1, Srikathyayani Srikanteswara2
1Faculty of Information Technology and Communication Sciences, Tampere University, 33720 Tampere, Finland.
This study introduces a Named-Data Networking (NDN) approach for fog computing in wireless mesh networks. It enhances user experience by enabling access to distributed computing resources, improving performance and reliability.
Area of Science:
- Computer Science
- Networking
- Distributed Systems
Background:
- Fog computing offers enhanced user experience for on-demand services.
- Conventional IP-based solutions face challenges in wireless multi-hop mesh systems.
- Named-Data Networking (NDN) presents a complementary approach for these environments.
Purpose of the Study:
- To enable fog computing services within autonomous dynamic mesh formations using NDN.
- To address NDN's limitations in broadcast media and improve data-link reliability.
- To reduce routing overhead in dynamic mesh networks.
Main Methods:
- Joint implementation of dynamic face management and a learning-based route discovery strategy.
- Dynamic face management to enable unicast communications and solve NDN broadcast medium issues.
- Learning-based forwarding strategy for efficient route discovery in changing networks.
Main Results:
- The proposed NDN-based fog computing architecture effectively utilizes sporadically available computing resources in static wireless meshes.
- NDN caching capabilities significantly improve system performance.
- Service popularity positively impacts performance gains.
Conclusions:
- The developed NDN approach successfully extends fog computing to wireless mesh systems.
- Dynamic face management and learning-based routing are critical for NDN in mesh environments.
- NDN caching and service popularity are key factors for optimizing fog computing performance in wireless meshes.
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