Auto-DaSP workshop on Data Stream Processing

[Gabriele Mencagli <ga...@gmail.com>]

Dear Colleagues,

I am forwarding you this CFP of a new workshop (Auto-DaSP) on the
"Autonomic Data Stream
Processing" topic to be held in conjunction with Euro-Par 2017, in Spain
next August. This is the first workshop covering integrated researches
in the Paralell Data Stream Processing and Autonomic Computing fields. I
hope you can
contribute or help me in disseminating the CFP to interested researchers.

The workshop page is at the following link:

http://www.di.unipi.it/auto-dasp-17/

Furthermore, we are trying to find an agreement with Elsevier FGCS (or
similar
journals)  to have a special issue of the workshop papers. I hope you
can be interested (if this is not a disturb, I will contact you again
when the special issue will be approved).

Best regards,

Valeria Cardellini, Gabriele Mencagli and Massimo Torquati (Auto-DaSP
co-chairs)

**************************************************************************
Auto-DaSP 2017: an Euro-Par 2017 International Workshop
Autonomic Solutions for Parallel and Distributed Data Stream Processing
Date: 28-29, August 2017
Location: Santiago de Compostela, Spain
Workshop web page: http://www.di.unipi.it/auto-dasp-17/
Euro-Par web page: http://europar2017.usc.es/
**************************************************************************

* Call for Papers
We are living in an ever-more connected world where everyday life
environments are integrated with a proliferation of devices that
continuously produce unbounded data flows that have to be processed \u201con
the fly\u201d in order to detect operational exceptions, deliver real-time
alerts, and trigger automated actions. This paradigm extends to a wide
spectrum of applications with high socio-economic impact, like systems
for healthcare, emergency management, surveillance, intelligent
transportation and many others.

The data streaming domain belongs to the Big Data ecosystem.
High-frequency data streams featuring time-varying characteristics
represent one of the most challenging aspects in the design of
applications and frameworks. This is especially critical in case of
strict performance requirements (e.g., throughput and latency) that must
be met despite an unexpected workload variability or the dynamism of the
execution environment.

High-performance solutions targeting today\u2019s commodity parallel hardware
are \u201ca must\u201d to enable efficient data stream processsing. This comprises
run-time supports targeting multicores, GPU and FPGA co-processors, and
large-scale distributed-memory systems like clusters, Clouds and
recently Fog infrastructures. However, such solutions need autonomic
logics in order to adapt the framework/applications to changing
execution conditions and workloads. Examples are mechanisms and
strategies to adapt the queries, the operators placement policies,
intra-operator parallelism degree, scheduling strategies, load shedding
rate and so forth.

* Topics of interest include, but are not limited to, the following:
    -  Parallel models for streaming applications
    -  Stream processing in Cloud and Fog computing environments
    -  Parallel continuous queries
    -  Sliding-window queries
    -  High-level parallel patterns
    -  Autonomic solutions based on Control Theory and Artificial
Intelligence methods
    -  Strategies for operator and query placement
    -  Stream processing on heterogeneous and reconfigurable hardware
    -  Out-of-order data streams
    -  Burstiness and workload variations
    -  Stream scheduling strategies and load balancing
    -  Adaptive load shedding
    -  Integration of elasticity supports in existing frameworks
    -  Use cases in various domains including Smart Cities, IoT, Finance,
Social Media, and Healthcare

* Submission Instructions
Submissions in PDF format should not exceed 10 pages in the Springer
LNCS style, which can be downloaded from the Springer Web site. The 10
pages limit is a hard limit. It includes everything (text, figures,
references) and will be strictly enforced by the submission system.
Complete LaTeX sources must be provided for accepted papers. All
submitted research papers will be peer-reviewed. Only contributions that
are not submitted elsewhere or currently under review will be
considered. Accepted papers will be included in the workshop
proceedings, published by Springer in the ARCoSS/LNCS series. Authors of
accepted papers will have to sign a Springer copyright form.

* Special Issue
The best papers presented at the workshop will be invited to contribute
to a special issue on a high quality peer-reviewed indexed journal. The
special issue details will be published soon in the workshop web page.

* Important Dates
May 5, 2017        Paper submission deadline
June 16, 2017        Paper acceptance notifications
October 3, 2017        Camera-ready due
August 28-29, 2017    Workshop day

* Workshop Co-Chairs
- Valeria Cardellini,  University of Rome Tor Vergata, Italy
- Gabriele Mencagli, University of Pisa, Italy
- Massimo Torquati, University of Pisa, Italy

Looking forward to receiving your excellent submissions soon.

Best regards,

Valeria Cardellini, Gabriele Mencagli and Massimo Torquati


-- 
Gabriele Mencagli