Context & Scope
The 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2018) aims to provide a platform for researchers from both academia and industry to present new discoveries in the broad area of big data computing and applications. The conference topics are big data science, infrastructure and platforms, applications, trends and challenges as well as visualisation of big data.
BDCAT 2018 will have a co-located 11th International Conference on Utility and Cloud Computing (UCC 2018) and a subsequent Serverless Symposium. Do not miss the opportunity for discussing a full week of cloud and big data advances in central Europe at the end of the year!
This will be the 5th BDCAT along with the 11th UCC in a successful conference series of community-driven events. For more information, consult the conference history and the listing of previous awards given to top papers presented at the conference..
~~Workshop proposals due: 01 May, 2018~~
Paper submissions due: 01 August, 2018
Tutorial and Cloud Challenge proposals as well as Doctoral Research Papers due: 01 August, 2018
Posters due: 01 September, 2018
- Notification of acceptance for main conference papers: 15 September, 2018
- Camera ready papers due: 08 October, 2018
- Early and author registration deadline: 08 October, 2018
Note: For satellite event proposals (workshops, tutorials, cloud challenge, posters) please see the corresponding calls
on the UCC 2018 website!
12.06.2018: Three hotels with attractive conference rates can be booked through our website. For details, see the venue and hotels page.
25.04.2018: Tentative dates for authors were updated and are no longer tentative as the proceedings production schedule is being confirmed.
07.02.2018: BDCAT 2018 Call for papers has been made available.
05.01.2018: BDCAT 2018 website is active.
08.12.2017: BDCAT 2018 preparations are kicked off. The preliminary Call for Papers and Workshops has just been published.
BDCAT is co-sponsored by IEEE TCSC & ACM SIGARCH and executed in-cooperation with ACM SIGHPC.