Details

Autor(en) / Beteiligte

• ACM/SPEC International Conference on Performance Engineering
• Feng, Dan
• Becker, Steffen,

Titel

ICPE '22 : proceedings of the 2022 ACM/SPEC International Conference on Performance Engineering : April 9-13, 2022, Beijing, China

Ort / Verlag

New York : Association for Computing Machinery,

Erscheinungsjahr

2022

Beschreibungen/Notizen

• Includes bibliographical references and author index.
• It is our great pleasure to welcome you to the 13th annual ACM/SPEC International Conference on Performance Engineering (ICPE)! Planning for ICPE'22 has started early in 2021, with a landmark decision by the steering committee to hold the conference in China, for the first time in the conference's history. Due to the ongoing COVID-19 pandemic, a decision was made to strive for a hybrid conference, with local sessions in Beijing enriched by remote participants from all around the world. However, as the delta variant of COVID was followed by omicron, and border and travel restrictions around the globe intensified rather than being removed, we made the difficult decision to move to a fully virtual ICPE for the third year in a row. Despite this, we hope that we were able to prepare a program that is no less exciting than previous iterations of ICPE. This year, we extend a warm welcome to three excellent keynote speakers, covering a range of industrial and academic topics - Ivona Brandic (TU Vienna), John Wilkes (Google), and Longxiang Li (Inspur). Following ICPE tradition, the technical program will consist of a healthy mix of academic and industrial contributions - nine full research paper presentations, four short research paper presentations, as well as nine presentations in the industry and experience track. Additionally, the program will offer workshops, tutorials, a work-in-progress track, as well as a demo/poster track. Finally, and for the first time, we have also included a data challenge, where students and researchers were able to study a large dataset of real-life performance traces donated by MongoDB Inc.
• Description based on publisher supplied metadata and other sources.