Online distributed algorithm in edge-clouds
Edge Computing is an architecture of cloud computing that focuses on low latency by bringing computation nearer to mobile devices. These mobile devices can offload tasks to a set of edge servers with low latency, enabling a set of new applications. However, by adding more variety of infrastructure,...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/162864 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Edge Computing is an architecture of cloud computing that focuses on low latency by bringing computation nearer to mobile devices. These mobile devices can offload tasks to a set of edge servers with low latency, enabling a set of new applications. However, by adding more variety of infrastructure, it exacerbates the challenging problem of dispatching and scheduling tasks. Traditional systems rely upon a centralized orchestrator. However, with the dynamic nature of edge networks, a centralized orchestrator might prove unreliable. Distributed consensus algorithms could be a possible solution to handle the problems caused by a centralized orchestrator. This paper presents an experimental model that attempts to solve the problem of resource allocation by adopting a distributed model to dispatch and schedule tasks. Without utilizing a centralized orchestrator, the objective is to reduce the overall weighted response time of all tasks. This paper also studies the feasibility of incorporating a distributed consensus algorithm to address some of the problems the experimental model. |
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