[hpc-announce] JSSPP 2019 - 23rd workshop on Job Scheduling Strategies for Parallel Processing (Co-Located with IEEE IPDPS 2019)

Tue Nov 27 08:17:16 CST 2018

Call for Papers

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23rd Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP
2019)
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In Conjunction with IEEE International Parallel & Distributed Processing
Symposium IPDPS 2019,
Rio de Janeiro, Brazil, 24 May 2019
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webpage: http://jsspp.org
Submission Deadline: Feb 1, 2019
Notification Due: Mar 10, 2019
Workshop date: May 24, 2019
Submission link    https://easychair.org/conferences/?conf=jsspp2019

The JSSPP workshop addresses all scheduling aspects of parallel processing,
including cloud, grid (HPC) as well as "mixed/hybrid" or otherwise specific
systems.
>From its very beginning, JSSPP has strived to balance practice and theory
in its program. This combination provides a rich environment for technical
debate about scheduling approaches including both academic researchers as
well as participants from industry.
Building on this tradition, JSSPP welcomes both regular papers as well as
descriptions of Open Scheduling Problems (OSP) in large scale scheduling.
Lack of real-world data often substantially hampers the ability of the
research community to engage with scheduling problems in a way that has
real world impact.
Our goal in the OSP venue is to build a bridge between the production and
research worlds, in order to facilitate direct collaborations and impact.

Call for Regular Papers
-----------------------
JSSPP solicits papers that address any of the challenges in parallel
scheduling, including:

* Design and evaluation of new scheduling approaches.
* Performance evaluation of scheduling approaches, including methodology,
benchmarks, and metrics.
* Workloads, including characterization, classification, and modeling.
* Consideration of additional constraints in scheduling systems, like job
priorities, price, accounting, load estimation, and quality of service
guarantees.
* Impact of scheduling strategies on system utilization, application
performance, user friendliness, cost efficiency, and energy efficiency.
* Scaling and composition of very large scheduling systems.
* Cloud provider issues: capacity planning, service level assurance,
reliability.
* Interaction between schedulers on different levels, like processor level
as well as whole single- or even multi-owner systems
* Interaction between applications/workloads, e.g., efficient batch job and
container/VM co-scheduling within a single system, etc.
* Experience reports from production systems or large scale compute
campaigns.

Call for Open Scheduling Problems
---------------------------------
Rationale and main goal:
One of the crucial roles of the JSSPP community is to enable the sharing,
discussion, and possible resolution of scheduling problems. To fulfill this
role, JSSPP also welcomes descriptions of Open Scheduling Problems (OSP) in
datacenter and other large-scale environments.

Rules for submitting OSPs:
This call is primarily aimed at owners, operators, and clients of
datacenters and large-scale environments. Each OSP, which must address a
real or realistic situation, must include at least:
1) the Scheduling Goals and their inter-relationship, including key
metrics, SLOs, SLAs, etc., and to which stakeholder they are relevant and
why,
2) the structure of both the Workload and its Jobs, including key arrival
and other operational patterns, job inter-dependency, elastic and moldable
properties, etc.,
3) the Environment to manage, including key size and topology information,
types of resources, but also various operational and management rules such
as scheduled maintenance, allocation and other constraints, etc.

Ideally, the OSP should also include:
4) the actual workload logs,
5) clear description of the current solution (solver) being used to solve
the scheduling problem,
6) scripts used in the real environment to compute various
performance-related metrics used in that system

OSPs must be as clear as possible, to ensure the community addresses
important problems robustly, but also to ensure reproducibility. To this
end, the organizers will provide a common human- and machine-readable
format for presenting OSPs, and the basic tools associated with these. The
format will include extensibility options, to allow free-form descriptions,
but authors of OSPs are encouraged to limit the use of these options to
ensure reproducibility. The organizers are also well-aware of the
importance of privacy and anonymity associated with the operation of
datacenters and other large-scale environments, and will help authors of
OSPs for this with advice based on own experience and with direct action if
requested.

Process:
Prior to the workshop, the organizers will also engage the authors of
accepted OSPs, and possibly ask for clarifications and more details about
the proposed OSP, for example, the exact definition of a performance metric
or SLO, the maintenance and failure patterns if not specified, other
managerial goals that may have been reflected into the operation of the OSP
environment. Ideally, OSPs will be accompanied by all the relevant
open-access data and free open-source software, for example, anonymized
operational logs and sanitized scripts used in the real environment to
compute various metrics (iff. different from the tools provided by JSSPP).
Description of the current solution (solver) being used to solve the
presented scheduling problem is also welcome.

Publication options for OSPs:
We accept two different publication options for OSPs:
1) regular papers, where the authors must attend the JSSPP workshop and the
OSPs are later included in the JSSPP proceedings and also published on the
website.
2) OSPs are discussed during the JSSPP 2019 workshop. The authors are not
required to attend JSSPP, yet their presence is most welcome. The OSPs are
published on the JSSPP website, and later in an arXiv technical report.

In both cases, data and software will be published on relevant
repositories, such as Zenodo and GitHub, respectively. For further
information concerning paper formatting instructions please visit the
Submission section.

Paper Formatting, Submission and Proceedings
--------------------------------------------
Papers should be no longer than 20 single-spaced pages, 10pt font,
including figures and references. All submissions must follow the LNCS
format, see the instructions at Springer's web site:
http://www.springer.com/lncs
Papers must be submitted before Feb 1, 2019 using Easychair:
https://easychair.org/conferences/?conf=jsspp2019
All papers in scope will be reviewed by at least three members of the
program committee. Interim proceedings containing a collection of the
papers presented will be distributed at the workshop in electronic form.
It is planned to also publish a post-workshop proceedings in the Springer's
"Lecture Notes in Computer Science" series, as was done in previous years
(pending approval from Springer). OSPs have an additional publication
option (see above).

Committees
----------

Workshop organizers:

    Dalibor Klusáček, CESNET a.l.e.
    Walfredo Cirne, Google
    Narayan Desai, Google

Program committee:

    Henri Casanova, University of Hawaii at Manoa
    Julita Corbalan, Technical University of Catalonia
    Hyeonsang Eom, Seoul National University
    Dror Feitelson, The Hebrew University
    Liana Fong, IBM T. J. Watson Research Center
    Alfredo Goldman, University of Sao Paulo
    Alexandru Iosup, Delft University
    Bill Nitzberg, Altair Engineering
    P-O Ostberg, Umea University
    Gonzalo Rodrigo, Berkeley Lab
    Yingchong Situ, Google
    Leonel Sousa, Universidade Tecnica de Lisboa
    Mark Squillante, IBM T. J. Watson Research Center
    Ramin Yahyapour, GWDG - University of Göttingen

http://jsspp.org/
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