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DEBS 2018 : 12th ACM International Conference on Distributed and Event-Based Systems

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Conference Series : Distributed Event-Based Systems
 
Link: http://debs.org/2018/
 
When Jun 25, 2018 - Jun 29, 2018
Where Hamilton, New Zealand
Abstract Registration Due Feb 21, 2018
Submission Deadline Feb 26, 2018
Notification Due Apr 17, 2018
 

Call For Papers

ACM DEBS 2018 — Preliminary Call for Research Papers

Where: Hamilton, New Zealand
When: 25 - 29 June 2018

Over the past decade, the ACM International Conference on Distributed
and Event-Based Systems (DEBS) has become one of the leading venues for
contributions in the fields of distributed and event-based systems. The
ACM DEBS conference provides a forum dedicated to the dissemination of
original research, the discussion of practical insights, and the
reporting of experiences relevant to distributed systems and event-based
computing. It brings together academia and industry to discuss
innovative technology and exchange ideas.


Scope

The DEBS conference covers topics both in distributed and in event-based
computing. The scope of the conference includes systems dealing with
detecting, processing and responding to events and with massively
distributed middleware and applications. Topics include, but are not
limited to:

1. Models, Architectures and Paradigms: Event-driven architectures,
real-time analytics, complex event processing, event processing in big
data, stream processing, rule-based systems, logic-based event
recognition, event correlation and pattern languages.
2. Middleware infrastructures: Distributed data processing, distributed
programming, federated event-based systems, information-centric
networking, fault tolerance, reliability, availability, and scalability,
as well as cloud, peer-to-peer, ubiquitous and mobile computing.
3. Applications, Experience and Requirements: Use cases and
applications of distributed and event-based systems in various domains
including internet of things, cyber-physical systems, sensor networks,
network monitoring, online machine learning, online graph algorithms,
smart cities, smart grids, finance, healthcare, transportation, and
logistics. Also, relevant topics span enterprise-level computing,
including enterprise application integration, real-time enterprises,
event-based business process management, and support for enterprises to
respond in timely fashion to changing situations.


Important Dates

- Abstract submission for research track: Feb 21st, 2018
- Research paper submission: Feb 26th, 2018
- Research paper notification: Apr 17th, 2018
- Conference: Jun 25th–29th, 2018


Submissions

All submissions must be original and unpublished. Accepted papers will
be published by ACM and disseminated through the ACM Digital Library.
Note that the proceedings will be available prior to the conference, and
that the official publication date is the date the proceedings appear in
the ACM Digital Library. This date may be up to two weeks prior to the
first day of the conference. The official publication date affects the
deadline for any patent filings related to published work.

The conference adopts a double-blind review process for the research
track, where neither authors nor reviewers know each other’s identities.
This means that papers must not list or otherwise identify the authors.
References to previous work should be done in the third person so as to
not reveal the identities of the authors. Research track submissions
that are not anonymous may be rejected without review.

Research Track papers must be no longer than 12 pages. The authors of
accepted papers will be given a choice between different copyright
agreements, in accordance with the recent changes in the ACM policy. The
options will include new opportunities for open access as well as the
traditional ACM copyright agreement. Further information about the
submissions will be posted on the conference website: http://debs.org/2018


Organizers

General Co-Chairs:

Annika Hinze, University of Waikato
David Eyers, University of Otago

Program Committee Co-Chairs:

Martin Hirzel, IBM T.J. Watson
Matthias Weidlich, Humboldt-Universität zu Berlin


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