Edge Computation aims to bring the functionality of hyperscale datacenters closer to the end-user as to offer reliable low-latency communication through distributed compute power. With the ongoing rise of 5G standalone promis-ing low latency and high capacity, the possibility of running user real-time applications in a distributed setting has never been closer. The focus of this master’s thesis is to analyze and evaluate the limitation and solution alternatives for application state migration, whilst maintaining service continuity. By employing migration strategies and custom application specific methods, this thesis proposes avenues of minimizing application state divergence and viable, distributed Edge Compute specific, modifications of an orchestration system applicable without breaking core functionality.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:ltu-91078 |
| Date | January 2022 |
| Creators | Alvarsson, Axel |
| Publisher | Luleå tekniska universitet, Institutionen för system- och rymdteknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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