[hpc-announce] CFP: JSSPP 2023 - 26th Workshop on Job Scheduling Strategies for Parallel Processing (collocated with IEEE IPDPS)

Thu Nov 10 04:53:19 CST 2022

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26th Workshop on Job Scheduling Strategies for Parallel Processing 
(JSSPP 2023)
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In Conjunction with 37th IEEE IPDPS 2023, St. Petersburg, Florida USA. 
19 May 2023
Webpage: http://jsspp.org
Submission Deadline: February 5th, 2023
Notification Due: March 12th, 2023
Workshop date: May 19th, 2023

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The JSSPP workshop addresses all scheduling aspects of parallel 
computing, including cloud, grid, HPC & HTC, as well as "mixed/hybrid" 
or otherwise specific systems.

For the last 30 years, such parallel systems have grown in capacity and 
complexity, creating the need for new scheduling systems to govern them. 
JSSPP focuses both on such problems for traditional parallel 
cluster/HPC/HTC systems as well as more recent cloud-based systems.

Nowadays, parallel computing supports extremely heterogeneous workloads 
in very dynamic and connected environments. Many workloads are 
interactive and make use of variable resources over time. Complex 
parallel infrastructures can now be built on the fly, sourcing  compute 
capacity from different providers simultaneously, while each offers 
different prices and quality of services. Capacity planning has become 
more proactive, where resources are acquired continuously, with the goal 
of staying ahead of demand. The interaction model between job and 
resource manager is shifting to one of negotiation, where they agree on 
resources, price, and quality of service. Also, "hybrid" systems are 
often used, where the (virtualized) infrastructure is hosting a mix of 
competing workloads/applications, each having its own resource manager 
that must be somehow co-scheduled. These are just a few examples of the 
open issues facing our field.

 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 (see below). 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.

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Call for Regular Papers
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JSSPP solicits papers that address any of the challenges in parallel 
scheduling, including but not limited to:

   * 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.

For further information concerning paper formatting instructions please 
visit the Submission section (https://jsspp.org/index.php?page=submission).

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Call for Open Scheduling Problems (OSP)
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JSSPP welcomes descriptions of open problems in large-scale scheduling. 
We believe that clearly described real-world scheduling problems will 
help both the production and the scientific community to bridge the gap 
that often prevents adoption of newly proposed scheduling techniques in 
practice.

Effective scheduling approaches are predicated on three things:

   * A concise understanding of scheduling goals, and how they relate to 
one another.
   * Details of the workload (job arrival times, sizes, shareability, 
deadlines, etc.)
   * Details of the system being managed (size, break/fix lifecycle, 
allocation constraints)

Submissions must include concise description of the key metrics of the 
system and how they are calculated, as well as anonymized data 
publication of the system workload and production schedule. Detailed 
descriptions of operational considerations (maintenance, failure 
patterns, fault domains) are also important. Ideally, anonymized 
operational logs would also be published, though we understand this 
might be more difficult.

We envision that these papers will provide sufficiently detailed 
information to be able to develop new scheduling approaches, which can 
be robustly compared with the schedules used in production facilities, 
and other approaches to solve the same problems.

Paper formatting requirements for OSP-related submissions are the same 
as for regular papers and are available in the Submission section 
(https://jsspp.org/index.php?page=submission).

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Venue and virtual venue
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JSSPP 2023 is being planned for May 19 in in St. Petersburg, Florida 
USA. However, remote paper presentation and attendance will be likely 
allowed to accommodate various constraints and restrictions caused by 
the pandemic. In virtual format, we will use videoconferencing and 
upload workshop-ready versions of papers at the workshop website 
beforehand. After the workshop the recording of the talks and the slides 
of all presentations will be shared on the JSSPP website and JSSPP 
youtube channel 
(https://www.youtube.com/channel/UC93tGBsMmjjEitQSQyL7eTw/playlists). 
The virtual format was very successful in JSSPP 2020, 2021 and JSSPP 
2022, with great participant attendance and engagement with the presenters.

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Committees
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Workshop organizers:

   * Dalibor Klusáček, CESNET a.l.e.
   * Julita Corbalán, Barcelona Supercomputing Center
   * Gonzalo Rodrigo Álvarez, Apple

Program committee (Not closed):

   * Amaya Booker, Facebook
   * Stratos Dimopoulos, University of California, Santa Barbara
   * Hyeonsang Eom, Seoul National University
   * Dror Feitelson, Hebrew University
   * Jiří Filipovič, Masaryk University
   * Liana Fong, IBM T. J. Watson Research
   * Bogdan Ghit, Databricks
   * Eitan Frachtenberg, Reed College
   * Alfredo Goldman, University of Sao Paulo
   * Douglas Jacobsen, NERSC
   * Cristian Klein, Umeå Univeristy / Elastisys
   * Priyesh Narayanan, Netflix
   * Bill Nitzberg, Altair
   * P-O Östberg, Department of Computing Science, Umeå University
   * Larry Rudolph, Two Sigma
   * Lavanya Ramakrishnan, Lawrence Berkeley National Lab
   * Nikos Parlavantzas, INSA Rennes
   * Uwe Schwiegelshohn, TU Dortmund University
   * Leonel Sousa, Universidade de Lisboa
   * Ramin Yahyapour, GWDG - University of Goettingen
   * Narayan Desai, Google
   * Henri Casanova, University of Hawaii
   * Zhiling Lan, Illinois Institute of Technology

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Submission
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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

All papers in scope will be reviewed by at least three members of the 
program committee (see the list of organizers/PC members here: 
http://jsspp.org/index.php?page=committees).

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Proceedings
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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 "Lecture Notes on 
Computer Science" series, as was done in previous years (pending 
approval from Springer).