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Call for Contributions
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ICPE 2022
13th ACM/SPEC International Conference on Performance Engineering
Sponsored by ACM SIGMETRICS, SIGSOFT, and SPEC RG
Beijing, China
April 9 - 13, 2022
Web: https://icpe2022.spec.org/
Twitter: https://twitter.com/ICPEconf/
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IMPORTANT DATES (All dates are in 23:59 AoE)

Double-Blind & in main conference proceedings:
Research abstracts: Sept 30, 2021
Research papers: Oct 07, 2021
Research paper notification: Dec 02, 2021
Industrial/experience abstracts: Sept 30, 2021
Industrial/experience papers: Oct 07, 2021
Industrial/experience paper notification: Dec 02, 2021

Single-Blind & in main conference proceedings
Artifact registration: Dec 10, 2021
Artifact submission: Dec 16, 2021
Artifact notification: Jan 31, 2022

Single-Blind & in conference companion as post-proceedings:
Workshop proposals submission: Oct 07, 2021
Workshop proposals notification: Oct 17, 2021

NEW: Data Challenge submission: Jan 15, 2022
Poster/demo submission: Jan 15, 2022
Tutorial proposals submission: Jan 15, 2022
Work-in-progress papers: Jan 15, 2022
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TRAVEL STATEMENT
Authors and attendees are guaranteed that they can attend and present at ICPE 2022 virtually without traveling to Beijing in cases where the ongoing Covid 19 pandemic does imply travel restrictions or where attendees are concerned about their personal health or CO2 emissions. However, we aim at and hope for most attendees and in particular for paper authors to attend the conference physically in Beijing.

SCOPE AND TOPICS
The International Conference on Performance Engineering (ICPE) is the leading international forum for presenting and discussing novel ideas, innovations, trends and experiences in the field of performance engineering. Modern systems, such as big data and machine learning environments, data centers and cloud infrastructures, social networks, peer-to-peer, mobile and wireless systems, cyber-physical systems, the Internet of Things or more traditional ones such as web-based or real- time systems, rely increasingly on distributed and dynamic architectures and pose a challenge to their end-to-end performance management.

ICPE brings together researchers and practitioners to report state-of-the-art and in-progress research on performance engineering of software and systems, including performance measurement, modeling, benchmark design, and run-time performance management. The focus is both on classical metrics such as response time, throughput, resource utilization, and (energy) efficiency, as well as on the relationship of such metrics to other system properties including but not limited to scalability, elasticity, availability, reliability, cost, sustainability, security and privacy. The systems of interest include any type of computing or software system, such as (but not limited to) desktop systems, cloud systems, web-based systems, embedded systems, distributed systems and cyber-physical systems. The handling of performance issues at all stages of software and system life cycles is also of interest.

Topics of interest include, but are not limited to:

Performance modeling of software:
* Languages and ontologies
* Methods and tools
* Relationship/integration/tradeoffs with other QoS attributes
* Analytical, simulation and statistical modeling methodologies
* Machine learning and neural networks
* Model validation and calibration techniques
* Automatic model extraction
* Performance modeling and analysis tools
* Traceability of software and performance artifacts
* Control of software performance evolution

Performance and software development processes/paradigms:
* Software performance testing
* Software performance (anti-)patterns
* Software/performance tool interoperability (models and data interchange formats)
* Performance-oriented design, implementation and configuration management
* Software Performance Engineering and Model-Driven Development
* Gathering, interpreting and exploiting software performance annotations and data
* System sizing and capacity planning techniques
* (Model-driven) Performance requirements engineering
* Relationship between performance and architecture
* Performance and agile methods
* Performance in (micro)service-based and serverless systems
* Software and system scalability and its impact on performance

Performance measurement, monitoring and analysis:
* Application tracing and profiling
* Workload characterization techniques
* Experimental design
* Tools and techniques for performance testing, measurement, profiling and tuning,
* and analysis of the resulting data

Benchmarking
* Performance metrics and benchmark suites
* Benchmarking methodologies
* Development of parameterizable, flexible benchmarks
* Benchmark workloads and scenarios
* Use of benchmarks in industry and academia

Run-time performance management and adaptation
* Machine learning and runtime performance decisions
* Context modeling and analysis
* Runtime model estimation
* Use of models at run-time
* Online performance prediction
* Autonomic resource management
* Utility-based optimization
* Capacity management

Power and performance, energy efficiency
* Power consumption models and management techniques
* Tradeoffs between performance and energy efficiency
* Performance-driven resource and power management

All other topics related to performance of software and systems.
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SUBMISSION GUIDELINES
Authors are invited to submit original, unpublished papers that are not being considered in another forum. A variety of contribution styles for papers is solicited including: basic and applied research papers for novel scientific insights, industrial and experience papers reporting on applying performance engineering or benchmarks in practice, and work-in-progress papers for ongoing innovative work. Different acceptance criteria apply based on the expected content of the individual contribution types.

=== Double Blind Review for Research and Industry/Experience submissions ==From this year on, ICPE adopts a double-blind review process for the research & industry/experience tracks (fall deadlines, papers that go into the main conference proceedings). Double-blind reviewing is intended to increase fairness and reduce implicit bias during reviewing. Authors are required to make a serious effort to anonymise their PDF submission and declare known conflicts of interest with PC members during submission. We will provide an extensive guideline with FAQ to help the authors with the anonymisation of their submission.

However, most important is that:
* Submitted PDFs do not contain an author list.
* Authors do not explicitly point at their own previous work in a way that would disclose their identity (“In previous work [1], we have shown that …”).
* Submitted PDFs do not contain links to the author’s home institutions, personal websites, or non-anonymous GitHub profiles, e.g., to point at data sets. Data can and should be uploaded to third-party services blinded. Instructions how to upload blinded data (which can be unblinded after acceptance) can be found here: https://ineed.coffee/post/how-to-disclose-data-for-double-blind-review-and-make-it-archived-open-data-upon-acceptance
* There are no acknowledgements of named persons or projects in the submitted PDF (evidently, acknowledgements can be added after acceptance). Notably, double-blind reviewing does not preclude submitting work intended for ICPE to preprint services such as Arxiv. However, we ask authors to use a clearly different title for their preprint submission than for the PDF submitted to ICPE. The PC chairs retain the right to desk-reject submissions that are not sufficiently anonymised.
=== Double Blind Review for Research and Industry/Experience submissions ==
Authors will be requested to self-classify their papers according to the provided topic areas when submitting their papers. Submissions to all tracks need to be uploaded to ICPE's submission system and conform to the ACM submission format.

At least one author of each accepted paper is required to register at the full rate, attend the conference and present the paper. Presented papers will be published in the ICPE 2022 conference proceedings that will be published by ACM and included in the ACM Digital Library.

Authors of accepted research papers are invited to submit an artifact to the ACM/SPEC ICPE 2022 Artifact Track. Artifacts submissions are reviewed single-blind.

The highest quality papers, judged by multiple relevant factors, will be recognized with an award.

AUTHORS TAKE NOTE: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of your conference. The official publication date affects the deadline for any patent filings related to published work. (For those rare conferences whose proceedings are published in the ACM Digital Library after the conference is over, the official publication date remains the first day of the conference.)

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