[Apologies if you receive multiple copies of this CFP]

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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