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Department of Computer Science and Technology

Systems

Research Projects

The group undertakes research across a wide range of topics, typically through substantial collaborative projects involving design, construction and evaluation of a system or platform.

Ongoing

  • 2020

    The capabilities of edge computing continue to increase, as does the scale. Enabling efficient and effective use of such large-scale (100M+ nodes) and wide-are distributed (countrywide-scale) resources requires different approaches to orchestration and resource management than datacenter networking. The compute resources themselves, the network interconnecting them, and the customer demands placed upon them need careful and holistic treatment to make the most of the infrastructure capacity. Achieving this will enable a range of new applications, from smart vehicles to Internet-of-Things to more resilient network management.

  • 2019

    Combining a unique blend of expertise from the Manufacturing Technology Centre (MTC), the Centre for Digital Built Britain (CDBB) and the Building Research Establishment (BRE), the Hub is working with industry and Government partners to transform the UK construction sector through manufacturing technologies and digital ways of working that are trusted and secure. In doing so, we want to deliver better outcomes for the economy, for society and the environment.

  • 2018

    The Internet of Things (IOT) is underpinned by a range of cloud services with the result that IOT devices rely on connectivity and so are vulnerable to attack and malicious repurposing. Given the ability of many such devices to actuate as well as sense, this raises problems of safety in addition to the long-standing privacy issues. This problem is exacerbated in the domestic context as most users are not inclined to become experts in systems administration and network security. DADA seeks to understand these challenges and to design technologies that can assist in their resolution.

  • 2017

    Owl is a dedicated system for scientific and engineering computing designed and implemented in the functional programming language OCaml. Our intent is to push the frontier of high-performance scientific computing, providing developers in both research and industry with a powerful framework to write concise, fast and safe analytical code. Owl aims to serve as the de-facto tool for computation intensive tasks in OCaml.

  • 2009

    MirageOS is a library operating system that constructs unikernels for secure, high-performance network applications across a variety of cloud computing and mobile platforms. Code can be developed on a normal OS such as Linux or MacOS X, and then compiled into a fully-standalone, specialised unikernel that runs under a Xen or KVM hypervisor. This lets your services run more efficiently, securely and with finer control than with a full conventional software stack.

  • 2009

    Horizon applies a user-centered approach to researching, promoting and championing the potential of ubiquitous digital technology, looking at the challenges of providing a new generation of personally meaningful experiences that use the traces we leave behind when we interact with mobile, Internet and other digital technologies.

Completed

This list is inevitably incomplete so may be updated from time-to-time. In the meantime, record of some other past projects may be found in the NetOS > Projects list.

  • 2016 — 2020

    The Databox platform is an open-source personal networked device, augmented by cloud-hosted services, that collates, curates, and mediates access to an individual’s personal data by verified and audited third-party applications and services. The Databox will form the heart of an individual’s personal data processing ecosystem, providing a platform for managing secure access to data and enabling authorised third parties to provide the owner with authenticated services, including services that may be accessed while roaming outside the home environment.

  • 2016 — 2019

    At the institutional level, concerns arise over the risks associated with personal data access, ownership, privacy and confidentiality. This project investigates whether and how these institutional concerns are reflected in the perceptions of individual users. This proposal will establish a new programme of research in digital economy by understanding how individual subjective perceptions of users with regard to cybersecurity relate to organizational and institutional views on cybersecurity. By gaining this understanding we seek to develop new business models which would allow businesses to minimize individual perceptions of vulnerability with regard to issues of privacy, security, and trust.