[hpc-announce] CFP - AutoDaSP 2021 jointly with ICPE 2021

[Gabriele Mencagli]

Call for Papers
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Auto-DaSP 2021: ICPE 2021 International Workshop
Autonomic Solutions for Parallel and Distributed Data Stream Processing
Date: 19-23, April 2021
Location: Rennes, France
Workshop web page: http://calvados.di.unipi.it/auto-dasp-21/
ICPE 2021 web page: https://icpe2021.spec.org/
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* Call for Papers

The increasing availability of smart devices and sensors has been 
producing large
data volumes in the form of streams, which need to be processed in 
real-time to
extract actionable intelligence. In this context, there is a continuous 
demand for
High-Performance Data Stream Processing Systems to cover a wide spectrum 
of applications
with high socio-economic impact, like systems for healthcare, emergency 
management,
surveillance, intelligent transportation, and many others.

High-volume data streams can be efficiently handled through the adoption 
of novel
high-performance solutions targeting today’s highly parallel hardware. 
This comprises
multicore platforms and heterogeneous systems equipped with GPU and FPGA 
co-processors.
The capacity of these heterogeneous computing platforms has grown 
remarkably over the years,
offering tens of thousands of heterogeneous cores and multiple terabytes 
of aggregated RAM
that is reaching computing, memory and storage capacity of a large 
warehouse-scale cluster
of just few years ago.

The Auto-DaSP 2021 workshop aims at collecting scientific contributions 
from the community
working in the Data Stream Processing (DSP) domain at different levels, 
both experts in
streaming algorithms and applications and researchers working on stream 
processing frameworks
and support tools. The focus is on parallel and autonomic models and 
practical implementations
of DSP applications on parallel hardware and distributed systems, 
performance management and
optimizations with runtime in parallel/distributed environments.

The expected outcome has a twofold nature: stimulating scientific 
questions on the
interrelations among the three core parts of the workshop, i.e. 
autonomic computing,
high-performance, and data stream processing; cross-fertilizing the 
parallel/distributed
computing and performance engineering domains with the DSP research 
area. A partial list
of topics of this workshop is as follows:

     - Performance characterization and modeling of streaming 
applications and systems
     - Highly parallel models for streaming applications
     - Streaming parallel patterns
     - Strategies for dynamic operator and query placement
     - Autonomic solutions for load management, elasticity, and 
reconfiguration
     - Integration of elasticity and fault tolerance in stream 
processing systems
     - Stream processing on heterogeneous and reconfigurable hardware
     - Streaming state management
     - Techniques to deal with out-of-order data streams
     - Benchmarking of parallel/distributed stream processing systems
     - Energy- and power-aware management of stream processing systems
     - Applications and use cases in various domains including Smart 
Cities, Internet of Things,
       Finance, Social Media, and Healthcare

* COVID-related Issues
The workshop is co-located with the ICPE 2021 conference, to be held in 
Rennes, France
(19-23 April, 2021). However, due to the uncertainty around the COVID 
pandemic, we cannot
guarantee that the workshop will be a live event. Further instructions 
will be given as
soon as possible.

* Submission Instructions
 From 6 to 10 pages double column in ACM format. Easychair link is 
available in the website of the
workshop.

* Special Issue
The workshop will be supported by a Special Issue in a top-ranked 
journal. The venue will be
announced soon.

* Important Dates
   January 18th, 2021       Paper submission deadline
   February 15th, 2021      Paper acceptance notifications
   February 22nd, 2021      Camera-ready due
   April 19-20, 2021    Workshop days (exact date not decided, yet)

* 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