[hpc-announce] Deadline Extension: Auto-DaSP at Euro-Par 2017 -- Papers due to May 12

Massimo Torquati torquati at di.unipi.it
Sun Apr 30 03:34:43 CDT 2017

The submission deadline has been extended to May 12.
Workshop web page: http://www.di.unipi.it/auto-dasp-17/
*IMPORTANT*: Elsevier FGCS Special Issue available
A selection of papers submitted to Auto-DaSP 2017 will be invited to the 
FGCS Special Issue on
"New Landscapes of the Data Stream Processing in the Era of Fog Computing"

Auto-DaSP 2017 CfP

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 "on 
the fly" 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's commodity parallel hardware 
are "a must" to enable efficient data stream processing. 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 12 pages in the Springer 
LNCS style, which can be downloaded from the Springer Web site. The 12 
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.
Papers have to be submitted through EasyChair at:

* Special Issue
A number of selected papers presented at the workshop will be invited to 
the special issue titled "New Landscapes of the Data Stream Processing 
in the era of Fog Computing" that will appear on Future Generation 
Computer Systems (Elsevier FGCS).

* Important Dates
May 12, 2017 Paper submission deadline (extended!)
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

Computer Science Department
University of Pisa, Italy
Tel: +39 050 221 3169
Web: http://www.di.unipi.it/~torquati

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