Postdoc position available: edge computation and named data for systems management

Edge compute infrastructure is an essential part of modern networks, but existing approaches to managing such infrastructure are complex and do not scale. Thanks to generous support from Rakuten Mobile, we're looking to appoint a postdoctoral research associate to work on a project to develop highly decentralised models for edge computation, leveraging ideas from named data networking and peer-to-peer to build new programming models to manage edge compute infrastructure at scale.

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One postdoctoral research associate position is available, working with Jeremy Singer and I at the University of Glasgow, in cooperation with Paul Harvey at the Rakuten Mobile Innovation Studio in Tokyo. This is a 24 month post, based in Glasgow. The closing date for applications is 23 November 2021.

The project will build on lessons learned building the FRμIT testbed. That project explored whether massive aggregation of low-cost, low-power, commodity infrastructure could form an efficient and effective compute fabric for distributed applications. A key outcome of the FRμIT testbed was an understanding that existing large-scale systems management and DevOps tools can be effective in data centre environments, but are not well-suited to managing the edge compute infrastructure. This new project seeks to use the ideas of named data networking and peer-to-peer systems to build alternative, and more scalable, system management tools for edge compute devices.

If you have experience or interest in modern Internet transport protocols, peer-to-peer or delay-tolerant networking, named data networking, or languages and programming models for large-scale distributed systems, then please get in touch – this promises to be an interesting project, with a great industrial partner.