[hpc-announce] CFP: Deadline approaching for JSSPP 2018 - 22nd workshop on Job Scheduling Strategies for Parallel Processing (Co-Located with IEEE IPDPS 2018)
Job Scheduling Strategies for Parallel Processing Workshop
jssppw at gmail.com
Thu Feb 8 08:48:36 CST 2018
Call for Papers
*** Apologies if you receive multiple copies. ***
*** Please forward to interested colleagues. ***
22nd Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP
In Conjunction with IEEE IPDPS 2018,
Vancouver, Canada, 25 May 2018
Paper submission deadline: Feb 11, 2018 (a week extension is planned)
Notification due: Mar 11, 2018
The JSSPP workshop addresses all scheduling aspects of parallel processing,
including cloud, grid (HPC) as well as "mixed/hybrid" or otherwise specific
Large parallel systems have been in production for more than 20 years,
creating the need of scheduling for such systems. Since 1995, JSSPP
provides a forum for the research and engineering community working in the
area. Initially, parallel systems were very static, with machines built in
fixed configurations, which would be wholesale replaced every few years.
Similarly, much of the workload was static as well, consisting of parallel
scientific jobs running on a fixed number of nodes. Systems were primarily
managed via batch queues. The user experience was far from interactive;
jobs could wait in queues for days or even weeks.
A little over 10 years ago, the emergence of large scale, interactive, web
applications together with the massive virtualization began to drive the
development of a new class of (cloud) systems and schedulers. These systems
would use virtual machines and/or containers to run "services", which would
essentially never terminate (unlike scientific jobs). This created systems
and schedulers with vastly different properties. Moreover, the enormous
demand for computing resources resulted in a commercial market of competing
providers. At the same time, the increasing demands for more power and
interactivity have driven scientific platforms in a similar direction,
causing the lines between these platforms to blur.
Nowadays, parallel processing is much more dynamic and connected. Many
workloads are interactive and make use of variable resources over time.
Complex parallel infrastructures can now be built on the fly, using
resources from different sources, provided with different prices and
quality of services. Capacity planning became 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 also welcomes descriptions of open
problems in large scale scheduling. Lack of real-world data substantially
often hampers the ability of the research community to engage with
scheduling problems in a way that has real world impact. Our goal to bridge
the gap between the production and research worlds, in order to facilitate
direct collaborations and impact.
Call for Papers
JSSPP solicits papers that address any of the challenges in parallel
* 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
* 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,
* 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
Call for Problems
JSSPP also welcomes descriptions of open problems in large scale
scheduling. Effective scheduling approaches are predicated on three things:
* A concise understanding of scheduling goals, and how they relate to one
* Details of the workload (job arrival times, sizes, shareability,
* Details of the system being managed (size, break/fix lifecycle,
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. Scripts to
evaluate results and compute the metrics relevant for the system are highly
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, 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:
Papers must be submitted before Feb 11, 2018 using Easychair:
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).
Walfredo Cirne, Google
Narayan Desai, Google
Dalibor Klusáček, CESNET
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
Eitan Frachtenberg, Facebook
Alfredo Goldman, University of Sao Paulo
Allan Gottlieb, New York University
Virajith Jalaparti, Microsoft
Kostantinos Karanasos, Microsoft
Zhiling Lan, Illinois Institute of Technology
Bill Nitzberg, Altair Engineering
P-O Östberg, Umeå University
Larry Rudolph, Two Sigma Investments
Gonzalo Rodrigo, Berkeley Lab
Uwe Schwiegelshohn, Technical University Dortmund
Leonel Sousa, Universidade Tecnica de Lisboa
Mark Squillante, IBM T. J. Watson Research Center
Wei Tang, Google NYC
Ramin Yahyapour, GWDG - University of Göttingen
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the hpc-announce