IFIP PERFORMANCE 2020 workshops are open for submissions. We solicit
contributions on themes related to the three workshops: Artificial
Intelligence in Networks and Distributed Systems (WAIN), Cryptocurrency
Analysis (SOCCA) and System Analytics and Characterization (SAC). The
deadlines are September 15th for WAIN and September 14th for SOCCA and SAC.
https://www.performance2020.deib.polimi.it/workshops-2/
All accepted papers will appear at Performance Evaluation Review (PER) and
will be presented virtually at the conference, which will go fully online.
Submissions should take the form of a short paper, not to exceed 4 pages in
length, in ACM PER format.
More details on the workshops follow below.
WAIN - 2nd Workshop on AI in Networks and Distributed Systems
Co-located with IFIP Performance 2020
6th November 2020, remote presentation only
Website: https://www.performance2020.deib.polimi.it/wain
Submission deadline: September 15th, 2020 (Anywhere on Earth), papers must
be 3-4 pages long
Thanks to rapid growth in network bandwidth and connectivity, networks and
distributed systems have become critical infrastructures that underpin much
of today's Internet services. They provide services through the cloud,
monitor reality with sensor networks of IoT devices, and offer huge
computational power with data centers or edge and fog computing.
At the same time, AI and Machine Learning is being widely exploited in
networking and distributed systems. Examples are algorithms and solutions
for fault isolation, intrusion detection, event correlation, log analysis,
capacity planning, resource management, scheduling, and design
optimization, just to name a few. The scale and complexity of today's
networks and distributed systems make their design, analysis, optimization
and management a daunting task. For this, smart and scalable approaches
leveraging machine learning solutions must be deployed to take full
advantage of these networks.
WAIN workshop aims at showing to the community new contributions in these
fields. The workshop looks for smart approaches and use cases for
understanding when and how to apply AI. WAIN will allow researchers and
practitioners to share their experiences and ideas and discuss the open
issues related to the application of machine learning to computer networks.
Topics of Interest:
The following is a non-exhaustive list of topics of interest for WAIN
workshop:
Applications of ML in communication networks and distributed systems
Data analytics and mining in networking and distributed systems
Traffic monitoring through AI
AI applied to IoT and 5G
Application of reinforcement-learning
ML-based methodologies for anomaly detection and cybersecurity
Performance optimization through AI/ML and Big Data
Experiences and best-practices using machine learning in operational
networks
Reproducibility of AI/ML in networking and distributed systems
Methodologies for performance evaluation of distributed infrastructure
Machine Learning application in cloud, edge, and fog computing
Performance evaluation of Content Delivery Networks
Application of AI/ML in sensor networks
AI/ML for data center management
AI/ML for cyber-physical systems
ML-driven resource management and scheduling
AI-driven fault tolerance in distributed systems
Important dates:
Submission deadline: September 15th, 2020 (Anywhere on Earth)
Notification of acceptance: October 7th, 2020
Camera ready version deadline: October, 15th, 2020
Workshop presentation: November 6th,2020
[The conference will be fully virtual]
Submission Guidelines:
Papers will be published at ACM SIGMETRICS Performance Evaluation Review
(PER, https://www.sigmetrics.org/per.shtml, 3 to 4 pages long).
Submissions must be original, unpublished work, and not under consideration
at another conference or journal. The format for the submissions is that of
PER (two-column 10pt ACM format)), between 3 and 4 pages, including all
figures, tables, references, and appendices. Papers must include authors'
names and affiliations for single-blind peer reviewing by the TPC. Authors
of accepted papers are expected to present their papers at the workshop.
The submission page is available at
https://easychair.org/conferences/?conf=wain2020.
Program Chairs:
Luca Vassio, Politecnico di Torino, Italy
Zhi-Li Zhang, University of Minnesota, USA
Danilo Giordano, Politecnico di Torino, Italy
Abhishek Chandra, University of Minnesota, USA
SOCCA – 2nd Symposium on Cryptocurrency Analysis
Co-located with 38th International Symposium on Computer Performance,
Modeling, Measurements and Evaluation 2020 (IFIP WG 7.3 PERFORMANCE 2020)
https://www.performance2020.deib.polimi.it/socca-2/
This symposium aims to bring together researchers, performance modellers
and practitioners interested in quantitative aspects of cryptocurrency and
blockchain technology, such as performance, dependability,
energy-efficiency, profitability and scalability.
Topics of Interest
Topics include, but are not limited to:
cryptocurrency mining algorithms and selfish mining strategies
modelling/simulation studies of blockchain algorithms and protocols
optimal design of blockchain algorithms and protocols
modelling/simulation studies of applications of blockchain
simulation tools for the analysis of cryptocurrencies and blockchain
benchmarking of cryptocurrencies and blockchains
Submitted papers must be original and contain work that has not been
published before or is under review elsewhere.
Papers will be published at ACM SIGMETRICS Performance Evaluation Review (2
to 4 pages).
This workshop will include papers from both academia and industry.
The submission page is available at
https://easychair.org/conferences/?conf=socca20.
SAC – 2nd International Workshop on System Analytics and Characterization
Co-located with IFIP WG 7.3 PERFORMANCE 2020
https://www.performance2020.deib.polimi.it/sac/
The statistical techniques at the forefront of the big data movement are
uniquely suited to the systems community; even modest sized systems can
easily produce hundreds of millions of data entries per hour . Efficiently
tracking and mining this data has the potential for significant benefits,
ranging from performance optimization in data centers to fundamental
architectural changes in how we design and organize scalable systems. To
apply these techniques successfully, as well as to understand the new
challenges in data-driven systems design and administration, we must take a
close look at current best practices and explore novel techniques in trace
collection, validation, and analysis.
Submissions on applications, results and experiences are of course welcome,
but we have a particular interest in submissions with novel applications,
new unsolved problems, and 'moonshot'' ideas to stimulate discussions and
new collaborations.
Topics of Interest
Topics of interest include, but are not limited to:
Efficient Data Gathering: Possible topics include low-overhead workload
collection, sub-sampling, and synthetic workload generation.
Trace Validation and Replay: Possible topics include instrumentation, trace
reconstruction, and hint generation.
Characterization and Prediction: Possible topics include novel applications
of data mining to system traces and performance analysis, predicting and
analysis in real time systems, and workload characterization.
Storage in Novel Systems: Possible topics include DNN storage, IoT storage,
and autonomous vehicles. For this area, we will favor position papers.
Important dates:
Submission deadline: September 1, 2020 (Anywhere on Earth) Extended to
September 14, 2020 (AoE)
Notification of acceptance: September 30, 2020
Workshop day: November 6, 2020
Submission Guidelines:
Submissions should take the form of a short paper, not to exceed 4 pages in
length, in ACM format. Submissions will be double-blind. Please do not
include identifying information in the submission. If you are building on
your past work, please cite it as you would any other paper. For an
accepted paper, at least one author must attend. Submissions that include
public release of code and datasets will be given special consideration.
Accepted papers will be published in the workshop proceedings and given a
10-15 minute time slot for presentation, with at least 5 minutes for
questions and discussion after each presentation. Come prepared!
Submissions under NDA will not be considered. All submissions should be
original, unpublished work. Papers will be submitted through Easychair.
The submission page is available at
https://easychair.org/conferences/?conf=sac2020.
Chairs
Avani Wildani, Emory University, US
Ian Adams, Intel Research, US
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