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CSV: Content Service Offloading System with Vehicular Caching.
Yeunwoong Kyung1, Taewon Song2
1Division of Information & Communication Engineering, Kongju National University, Cheonan 31080, Korea.
Vehicular caching (VC) improves network performance but struggles with service continuity. Our Content Service Offloading System (CSV) with VC enables seamless service migration, enhancing continuity and reducing server load.
Area of Science:
- Computer Science
- Network Engineering
- Distributed Systems
Background:
- Vehicular caching (VC) offers reduced latency and network load.
- VC's opportunistic availability due to mobility hinders service continuity.
- Existing systems face challenges in maintaining uninterrupted services.
Purpose of the Study:
- Introduce a Content Service Offloading System (CSV) using VC.
- Enhance service continuity for mobile users.
- Mitigate the limitations of opportunistic vehicular caching.
Main Methods:
- Developed the Content Service Offloading System (CSV).
- Enabled content service migration between fog nodes (FN) and VC.
- Created an analytical model to evaluate VC offloading efficiency.
Main Results:
- CSV successfully migrates content services between fog nodes and vehicular caches.
- Ongoing services are maintained without disruption during migration.
- CSV demonstrably reduces the load on content servers compared to conventional systems.
Conclusions:
- CSV effectively addresses service continuity challenges in vehicular caching.
- The system enhances network efficiency by distributing server load.
- CSV represents a significant advancement for reliable vehicular network services.

