The 5th HPC I/O in the Data Center Workshop (HPC-IODC 2019) in conjunction with
ISC High Performance on Thursday June 21th, 2019, in Frankfurt, Germany.

== Workshop overview ==

Managing scientific data at large scale is challenging for scientists but also for the host data center. The storage and file systems deployed within a data center are expected to meet users' requirements for data integrity and high performance across heterogeneous and concurrently running applications.

With new storage technologies and layers in the memory hierarchy, the picture is
becoming murkier. To effectively manage the data load within a data center, I/O
experts must understand how users expect to use these new storage technologies
and what services they should provide in order to enhance user productivity.
We seek to ensure a systems-level perspective is included in these discussions.

In this workshop we bring together I/O experts from data centers and application
workflows to share current practices for scientific workflows, issues and
obstacles for both hardware and the software stack, and R&D to overcome these
issues.

The workshop content is build on two tracks:
1) research paper track – requesting submissions regarding state-of-the-practice
and research about I/O in the datacenter.
2) talks from I/O experts – you'll need to submit an abstract for your talk.

Contributions to both tracks are peer reviewed and require submission of the
respective research paper or idea for your presentation via Easychair:
https://easychair.org/conferences/?conf=hpciodc2019

== Track: research papers ==

The proceedings of the research papers will be published by Springer in the
Lecture Notes of Computer Science (LNCS) series. The research track accepts
papers covering state-of-the-practice and research dedicated to storage in the
datacenter. We accept papers with up to 12 pages (excl. references) in
LNCS format.

For accepted papers, the length of the talk during the workshop depends on the controversiality and novelty of the approach (the length is decided based on the preference provided by the authors and feedback from the reviewers). We also allow virtual participation (without attending the workshop personally). All relevant work in the area of data center storage will be able to publish with our joint workshop proceedings, we just believe the available time should be used best to discuss controversial topics.

=== Topics ===
The relevant topics for papers cover all aspects of data center I/O including:
* application workflows
* user productivity and costs
* performance monitoring
* dealing with heterogeneous storage
* data management aspects
* archiving and long term data management
* state-of-the practice (e.g., using or optimizing a storage system for data center workloads)
* research that tackles data center I/O challenges

=== Paper Deadlines ===
* Submission deadline: 2019-04-19 AoE
* Author notification: 2019-05-11
* Pre-final submission: 2019-06-10 (to be shared during the workshop)
* Workshop: 2019-06-21
* Camera-ready papers: 2019-07-21 (preliminary date)

== Track: Talks by I/O experts ==

The topics of interest in this track include but are not limited to:
* A description of the operational aspects of your data center
* A particular solution for certain data center workloads in production

We also accept industry talks, given that they focus on operational issues
and omit marketing.

If you are interested to participate, please submit a short (1/2 page) abstract
of your talk together with a (very) short Bio.

Abstract Deadlines:
* Submission deadline: 2019-04-19 AoE
* Author notification: 2019-05-11

== Program committee ==

Anthony Kougkas (Illinois Institute of Technology)
Suzanne McIntosh (New York University)
Jay Lofstead (Sandia National Laboratories)
George S. Markomanolis (Oak Ridge National Laboratory)
Suren Byna (Lawrence Berkeley National Laboratory)
Adrian Jackson (The University of Edinburgh)
Javier Garcia Blas (Carlos III University)
Bing Xie (Oak Ridge National Lab)
Sandro Fiore (CMCC)
Glenn Lockwood (Lawrence Berkeley National Laboratory)
Michael Kluge (TU Dresden)
Jean-Thomas Acquaviva (DDN)
Robert Ross (Argonne National Laboratory)
Wolfgang Frings (Juelich Supercomputing Centre)
Feiyi Wang (Oak Ridge National Laboratory)
Thomas Boenisch (High performance Computing Center Stuttgart)
Matthew Curry (Sandia National Laboratories)