Databox has been featured as a case study at the Royal Academy of Engineering report “Towards trusted data sharing: guidance and case studies”

Read all about it here: http://reports.raeng.org.uk/datasharing/cover/

https://github.com/me-box/databox/ 

This version contains a number of bug fixes arm64v8 support and some new features including:

• Arm64v8 support has been enabled and arm images built. Databox now runs on a Pi3b+ (testing and performance improvements needed)
• fixed bugs , ,   
• Version manifests and allow addition of manifest repos to the app-store driver
• Manifests for apps and drivers can now provide a full docker image name and tag
• Changes to the manifest format to enable core-ui to install dependencies at install time
• Fixed nodejs builds
• Containers running as root (all apps and drivers now run as an unprivileged user)
• the first version of the quickstart guide 
• make databox recover from host and docker demon restarts
• App and Driver crashes are detected and restarted cleanly
• removed the need for the CM and SDK to bind mount directories on the host
• updates to the arbiter to fix export token support
• The export service has been re-enabled

The Living Room of the Future “TV plots altered by our individual data”, the   work created in partnership with BBC for the AHRC immersive experience project was featured on Reuters , see the video on https://uk.reuters.com/video/2018/10/25/tv-plots-altered-by-our-individual-data?videoId=476741733&videoChannel=4000

https://github.com/me-box/databox

This version contains a rewritten core-arbiter, core-container-manger and a new set of build tools. There is now no javascript in the code of databox. Most of the core databox components now communicate over the ZestDB protocol, the language-specific libraries have been updated to reflect this change.

The databox user interface has been moved for the core-container-manger into its own component core-ui. This uses a new experimental store based API to access data and API endpoints within the container-manager. This enhances security and enables audit logging by default. It also has the benefit that new user interfaces can be developed in the same way as databox apps.

The platform-app server has also been removed in favour of a databox driver that read manifest from a git hub repository (driver-app-store).

With these changes, the core of databox is much more stable and should be easier or extend and develop on in the future.

Have fun, and as always expect bugs and dragons. Please report issues on the main me-box/databox repository.

The Databox Team

http://www.jobs.cam.ac.uk/job/18311/

Research Associate £31,604 – £38,833 or Senior Research Associate £39,992 – £50,618

Fixed-term: The funds for this post are available for 24 months.

A Research Associate post is available in the Systems Research Group at the Cambridge University Computer Laboratory for up to 2 years with the possibility of extension. Appointment to Senior Research Associate will be considered for exceptional candidates. We welcome applications from candidates with experience outside academia.

The Systems Research Group provides a supportive and rigorous environment in which to undertake world-leading research in a wide range of topics in computer systems. The group’s outputs are not limited to publications but often also include spin out companies significant successes include XenSource (acquired by Citrix Systems Inc. for $500M in 2007) and Unikernel Systems (acquired early last year by Docker Inc.).

The group holds a portfolio of projects supporting development, experimentation and data analysis in personal networked systems to support Human-Data Interaction https://www.interaction-design.org/literature/book/the-encyclopedia-of-human-computer-interaction-2nd-ed/human-data-interaction including Databox https://databoxproject.uk/ and DADA https://www.nottingham.ac.uk/news/pressreleases/2018/april/defence-against-dark-artefacts-%E2%80%93-the-enemy-within-the-wall.aspx .

This post will focus on design, development and systematic evaluation of technology prototypes for traffic management of domestic IoT devices. This will entail using technologies such as eBPF and Linuxkit to gather data to feed a range of machine learning algorithms, as well as consuming the results of those algorithms alongside user inputs to dynamically reconfigure network connectivity as device behaviours evolve.

Successful candidates will hold a Ph.D. in Computer Science, or have equivalent skills and experience through non-academic routes, and must be able to evidence:

• Ability to communicate clearly in English, in both written and spoken forms.
• Familiarity with the core Internet protocols (e.g., TCP/IP, UDP, DNS), the BSD Socket APIs, and Linux software development.
• Experience of or aptitude for systems-level (e.g., OS kernel, device driver, assembly level) software development.
• Experience of or aptitude for rigorous system measurement and evaluation, including experiment design, data capture, and data analysis. This may have been gained in commercial or industrial settings as well as through production of academic papers.

Other desirable characteristics include:

• Evidence of an excellent publication record, commensurate with level of experience is also desirable. Candidates from outside academia may be able to evidence this by providing examples of rigorous technical writing published or distributed through channels other than academic conferences and journals.
• Familiarity with machine learning algorithms, techniques and applications.

For more background information on the Systems Research Group, see http://www.cl.cam.ac.uk/research/srg/ where further information about the projects mentioned can also be found.

Informal enquiries should be directed to Richard Mortier ().

To apply online for this vacancy, please click on the ‘Apply’ button below. This will route you to the University’s Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure you upload your Curriculum Vitae (CV) and a covering letter. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please quote reference NR16300 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

https://www.imperial.ac.uk/jobs/description/ENG00357/databox-research-associate

Applications are invited for a Senior Postdoctoral Research Associate position on Data mining, Analytics, Privacy Protocols and Machine Learning aspects of Personal and IoT data for the the EPSRC Databox Project (https://databoxproject.uk ) and the EPSRC Defense Against Dark Artefacts project (http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/R03351X/1 ), ideally with a focus on edge computing, Internet of Things, data mining, data visualization, or designing and implementation of and security and privacy protocols and machine learning algorithms.

Job listing information

• Reference ENG00357
• Closing date 1 July 2018

Salary £36,800 – £44,220 plus benefits

This is full time fixed term position for 14 months, with high possibility of further extensions.

Duties and responsibilities

• Design and building efficient and scalable privacy protocols and machine learning algorithms in conjunction with the Databox system
• Designing intuitive data discovery and visualisation apps for IoT/Personal data
• Engage with the other team members in design and conduct of experiments assessing the interaction of users with exemplar apps and data
• Work on a team including the PI, CoIs, and other PDRAs to design the Databox prototype

Further information and job details available via https://www.imperial.ac.uk/jobs/description/ENG00357/databox-research-associate

Databox Version 0.4.0 is now available for download: https://github.com/me-box/databox

Changes since last version:

Changes to me-box/databox:

• Add funding/grant information see me-box/databox/pull/250
• Always update node modules see me-box/databox/pull/247
• enable broadcast traffic relay see me-box/databox/pull/243
• Adds the needed authorization headers to the tests see me-box/databox/pull/241
• Authentication see me-box/databox/pull/239
• Update year in license see me-box/databox/pull/238

Changes to core repositories:

Changes to me-box/core-container-manager:

• Fix app driver startup order see me-box/core-container-manager/pull/26
• Fixes proxy DNS lookup errors see me-box/core-container-manager/pull/25
• UI Updates see me-box/core-container-manager/pull/24
• Adds a timeout and makes sure next() is called see me-box/core-container-manager/pull/23
• Fix broken link #21 see me-box/core-container-manager/pull/22
• Authentication see me-box/core-container-manager/pull/20

Changes to me-box/core-arbiter:

• No changes in this version

Changes to me-box/core-export-service:

• No changes in this version

Changes to me-box/core-network:

• Enable driver to see broadcast packets see me-box/core-network/pull/5
• ignore reverse lookup request see me-box/core-network/pull/4

Changes to me-box/core-store:

• Update to zest 0.0.6 see me-box/core-store/pull/5
• Update to v0.0.4 see me-box/core-store/pull/4
• Move to jptmoore/zest:v0.0.4 see me-box/core-store/pull/3
• Core-store v2 see me-box/core-store/pull/2

Changes to me-box/lib-node-databox:

• Fix parsing of observe response with spaces in the payload see me-box/lib-node-databox/pull/36
• Core store v2 see me-box/lib-node-databox/pull/35
• Update to core-store v2 api see me-box/lib-node-databox/pull/34

Changes to me-box/lib-go-databox:

• Fixes parseRawObserveResponse for payloads with spaces see me-box/lib-go-databox/pull/9
• Update to new care-store API see me-box/lib-go-databox/pull/8

A new Report, commissioned by the Horizon Digital Research Institute, looks at the industry and consumer market engagement opportunities of the Databox project. The report looks at market engagement with the Databox concept, as it emerges from a limited number of conversations with project stakeholders, business consultants and industry experts. It seeks to explore its value proposition for individuals, ‘data-rich’ companies and ‘data-poor’ companies.

See the full report on http://www.horizon.ac.uk/wp-content/uploads/2017/01/Market-engagement-in-the-Databox-project.pdf

In 2018 we will showcase a live engagement event and demonstrator of the ‘Future of the Living Room’ with the BBC R&D at FACT in Liverpool as part of the States of play exhibition and at the Western Balkans Culture Summit.

The living room will be open to the public at States of Play in May 2018 at FACT, Liverpooland at The Western Balkans Culture Summit in August 2018.

See the details on: http://www.bbc.co.uk/rd/blog/2017-10-on-the-living-room-of-the-future

Databox Version 0.2 has been released in time for our MozFest 2017 Hackathon next week. See the release notes on:

https://github.com/me-box/databox/releases/tag/0.2.0

Downloads

• Source code (zip)
• Source code (tar.gz)