[Storage-research-list] Call for Papers for HotCloudPerf 2019 - The Second Workshop on Hot Topics in Cloud Computing Performance, Umea, Sweden

[nikolas.herbst at uni-wuerzburg.de]

Call for Papers for

 

=== The Second Workshop on Hot Topics in Cloud Computing Performance ===

 

(HotCloudPerf-2019)

“Performance from the cloud datacenter to the edge”

 

https://hotcloudperf.spec.org

 

VENUE: workshop held in conjunction with FAS*(ICAC/SASO) conferences, 

June 16 or 17, Umea, Sweden

 

Contact: hotcloudperf2019[at]easychair.org 

 

IMPORTANT DATES (Anywhere on Earth) 

Feb 22, 2019                   Abstracts due

Mar 01, 2019                  Papers due

Apr 10, 2019                   Author notification

Apr 18, 2019                   Camera-ready deadline, author registration

Jun 16 or 17, 2019         Workshop Day

 

WORKSHOP THEME AND BACKGROUND

 

Cloud computing is emerging as one of the most profound changes in the 

way we build and use IT. The use of global services in public clouds is
increasing, 

and the lucrative and rapidly growing global cloud market already supports
over 

1 million IT-related jobs. However, it is currently challenging to make the
IT services 

offered by public and private clouds performant (in an extended sense) and
efficient. 

Emerging architectures, techniques, and real-world systems include hybrid
deployment, 

serverless operation, everything as a service, complex workflows,
auto-scaling and -tiering, etc. 

It is unclear to which extent traditional performance engineering, software
engineering, 

and system design and analysis tools can help with understanding and
engineering these 

emerging technologies. The community also needs practical tools and powerful
methods to 

address hot topics in cloud computing performance.

Responding to this need, the HotCloudPerf workshop proposes a meeting venue
for academics and practitioners, 

from experts to trainees, in the field of cloud computing performance. 

The workshop aims to engage this community, and to lead to the development
of new methodological aspects 

for gaining deeper understanding not only of cloud performance, but also of
cloud operation and behavior, 

through diverse quantitative evaluation tools, including benchmarks,
metrics, and workload generators. 

The workshop  focuses on novel cloud properties such as elasticity,
performance isolation, dependability, 

and other non-functional system properties, in addition to classical
performance-related metrics such 

as response time, throughput, scalability, and efficiency.

Each year, the workshop chooses a focus theme to explore; for 2019, the
theme is 

“Performance from the cloud datacenter to the edge.” 

Articles focusing on this topic are particularly encouraged for
HotCloudPerf-2019.

 

The HotCloudPerf workshop is technically sponsored by the Standard
Performance Evaluation Corporation (SPEC)’s 

Research Group (RG), and is organized annually by the RG Cloud Group. 

HotCloudPerf has emerged from the series of yearly meetings organized by the
RG Cloud Group, since 2013. 

The RG Cloud Group group is taking a broad approach, relevant for both
academia and industry, 

to cloud benchmarking, quantitative evaluation, and experimental analysis.

 

WORKSHOP SCOPE AND TOPICS

 

Topics of the focus-theme for 2019, “Performance from the cloud datacenter
to the edge”:

1. Serverless/Function-as-a-Service(FaaS) computing platforms and
micro-services in cloud datacenters.

2. Understanding and engineering dependability and non-traditional
performance requirements for cloud datacenters.

3. Studying performance variability in cloud datacenters and/or solutions
for taming performance variability in clouds.

4. Running specialized services with performance guarantees, such as,
Business Process as a Service, Data as a Service, business-critical
workloads, etc.

5. Extending the cloud datacenter to support the non-functional requirements
of converged workloads, including IoT, HPC, and big data services.

6. Experience reports and use-cases with understanding and engineering
performance in the cloud datacenter.

 

Long-running topics of the HotCloudPerf workshop include, but are not
limited to:

1. Empirical performance studies in cloud computing environments,
applications, and systems, including observation, measurement, and surveys.

2. Comparative performance studies and benchmarking of cloud environments,
applications, and systems.

3. Performance analysis using modeling and queueing theory for cloud
environments, applications, and systems.

4. Simulation-based studies for all aspects of cloud computing performance.

5. Tuning and auto-tuning of systems operating in cloud environments, e.g.,
auto-scaling of resources and auto-tiering of data, optimized resource
deployment.

6. Software patterns and architectures for engineering cloud performance,
e.g., serverless.

7. Experience with and analysis of performance of cloud deployment models,
including IaaS/PaaS/SaaS/FaaS.

8. End-to-end performance engineering for pipelines and workflows in cloud
environments, or of applications with non-trivial SLAs.

9. Tools for monitoring and studying cloud computing performance.

10. General and specific methods and methodologies for understanding and
engineering cloud performance.

 

ARTICLE SUBMISSION GUIDELINES

 

There are two ways to participate: 

i) present a talk without a respective paper published in the workshop
proceedings, 

ii) submit a paper to be presented at the workshop and published in the
workshop (FAS*(ICAC/SASO) companion) proceedings.

 

We solicit the following types of contributions:

 

              Talk only: Extended abstract limited to 1 page (without
formatting restrictions)

              Full paper limited to 6 pages (double column, IEEE conference
format)

              Short paper limited to 2 pages (double column, IEEE conference
format)

 

Contributions in the 1st category (as Talk only) may have already been
(partially) presented at other events 

or in publications. Contributions in the 2nd and 3rd category (technical
papers) must represent original 

and unpublished work that is not currently under review. Full papers may
report on original research, 

lessons learned from realizing an approach, or experiences on transferring a
research prototype into practice. 

Short papers may report on work-in-progress, a tool/demo, or present a
vision or position motivating 

the community to address new challenges.

 

Articles and talk only contributions are required to be submitted via the
EasyChair system of HotCloudPerf-2019.

https://easychair.org/conferences/?conf=hotcloudperf2019

 

Articles must use the IEEE conference format. Each valid submission will
receive at least three (3) peer reviews. 

Presented papers will be published by IEEE and included in IEEE Xplore.
Adhering to IEEE guidelines for conferences, FAS*(ICAC/SASO) requires that
at least one author of each accepted paper attends the workshop and presents
the paper.

 

ORGANIZING COMMITTEE

Nikolas Herbst (U. Würzburg, Germany)

Cristina Abad (ESPOL, Ecuador)

Alexandru Iosup (VU Amsterdam, the Netherlands)

Alexandru Uta (VU Amsterdam, the Netherlands)

 

Web & Publicity Chair:

Erwin van Eyk (Platform9 Fission team, USA, and TU Delft, the Netherlands)

 

PROGRAM COMMITTEE

 

Cristina Abad (Escuela Superior Politecnica del Litoral, Ecuador)

Ahmed Ali-Eldin (University of Massachusetts Amherst, US)

Marta Beltran (Universidad Rey Juan Carlos, Spain)

Andre Bondi (Software Performance and Scalability Consulting LLC, US)

Gunnar Brataas (SINTEF ICT, Norway)

Marco Cello (Rulex, Italy)

Lucy Cherkasova (ARM Research)

Ian Foster (University of Chicago & Argonne National Laboratory, US)

Geoffrey Fox (Indiana University, US)

Wilhelm Hasselbring (Kiel University, Germany)

André van Hoorn (University of Stuttgart, Germany)

Shadi Noghabi (Microsoft)

Alessandro V. Papadopoulos (Mälardalen University, Sweden)

Peter Pietzuch (Imperial College London, UK)

Josef Spillner (Zurich University of Applied Sciences, Switzerland)

Petr Tuma (Charles University Prague, Czech Republic)

Abhishek Verma (Google)

Chen Wang (IBM Research)

Rich Wolski (University of California, Santa Barbara, US) 

Xiaoyun Zhu (HyperPilot, CA, US)

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