EuroSys — LLMpedia

EuroSys
Name	EuroSys
Discipline	Computer science, Distributed computing, Operating systems, Computer architecture, Computer networking
Abbreviation	EuroSys
Publisher	ACM SIGOPS, ACM SIGCOMM (historical sponsors)
Country	European research institutions and venues
Frequency	Annual
First	2006

Contents

EuroSys

EuroSys is an annual international conference focused on Computer systems research, bringing together researchers from ACM, IEEE, Linux Foundation, Google, Microsoft Research, Facebook, Amazon Web Services, and leading universities such as University of Cambridge, ETH Zurich, University of Oxford, MIT, and Stanford University. The conference features peer-reviewed papers, posters, workshops, and keynotes by figures from institutions like Intel, ARM Holdings, Nokia, Telefónica, and Siemens. EuroSys serves as a venue for work related to projects and platforms including Linux kernel, Xen, KVM, Docker, Kubernetes, and research from labs such as Microsoft Research Cambridge, Google Research, and IBM Research.

Overview

EuroSys covers advances in systems research spanning topics represented by programs and groups at Princeton University, Carnegie Mellon University, University of California, Berkeley, University of Washington, EPFL, Technical University of Munich, TU Delft, École Polytechnique Fédérale de Lausanne, Purdue University, and University of Illinois Urbana-Champaign. Typical sessions address interactions among technologies like virtualization (examples: Xen and KVM), containerization (Docker, LXC), cloud computing platforms at Amazon Web Services and Google Cloud Platform, and edge computing initiatives from Nokia Bell Labs. EuroSys aligns with other venues such as SOSP, OSDI, SIGCOMM, USENIX FAST, and Usenix ATC while emphasizing European and international collaborations.

The conference was established in 2006, evolving from workshops and meetings involving researchers at Imperial College London, University of Cambridge, INRIA, University of Edinburgh, Universität Karlsruhe, and Heidelberg University. Early editions featured work tied to projects like Xen from University of Cambridge and Citrix Systems, and virtualization research influenced by groups at University of Glasgow and ETH Zurich. EuroSys grew alongside the expansion of cloud providers such as Amazon, Google, and Microsoft, and collaborations with standards bodies like IETF and IEEE 802 informed sessions on networking and distributed protocols. Over time, the program committee included senior researchers from Microsoft Research, Google Research, ETH Zurich, University of Cambridge, École Normale Supérieure, and Max Planck Institute for Software Systems.

EuroSys solicits submissions in areas including Operating system design and implementation, Distributed systems protocols, Computer architecture improvements for system support, Storage systems like those from NetApp and Seagate Technology, and Networking research influenced by Cisco Systems and Juniper Networks. Related themes include Security and Privacy work with contributions from CNRS, Fraunhofer Society, and SRI International, real-time systems developed at Lund University, power-aware computing research tied to ARM Holdings, and heterogeneous computing involving platforms from NVIDIA and AMD. EuroSys also includes industry tracks and sessions on systems for machine learning frameworks like TensorFlow and PyTorch.

EuroSys is governed by a rotating steering committee composed of researchers from institutions such as ETH Zurich, University of Cambridge, Vrije Universiteit Amsterdam, TU Delft, Karlsruhe Institute of Technology, Chalmers University of Technology, and KTH Royal Institute of Technology. Program committees select papers with reviewers from ACM SIGOPS, IEEE, USENIX, and corporate labs including Google Research, Microsoft Research, IBM Research, Facebook AI Research, and Amazon Science. Conference organization involves local host institutions like University of Bologna, University of Porto, Sorbonne Université, and Technical University of Denmark, with sponsorship and exhibition by firms such as Intel, ARM, NVIDIA, Red Hat, and Canonical.

EuroSys has published influential papers affecting projects and systems such as Kubernetes, Linux kernel, Xen, Ceph, Hadoop, Spark, and RAID design principles. Notable contributions include work on lock-free data structures and concurrency control from authors associated with MIT, Stanford University, ETH Zurich, and UC Berkeley; storage systems innovations referenced by Seagate Technology and Western Digital; and networking breakthroughs cited by Cisco Systems and Juniper Networks. Papers from EuroSys have influenced subsequent research at SOSP and OSDI and have been integrated into production at Google, Facebook, Twitter, Netflix, and cloud providers such as DigitalOcean.

EuroSys best paper and distinguished paper awards have recognized authors from institutions like University of Cambridge, ETH Zurich, Imperial College London, École Polytechnique, Max Planck Institute, University of Toronto, McGill University, and University of Melbourne. Recipients often proceed to win community awards including ACM SIGOPS Hall of Fame honors and ACM Prize in Computing mentions, and their work is frequently presented at SIGCOMM, SOSP, OSDI, and USENIX Security. Industry recognition includes adoption and integration of EuroSys ideas by companies such as Google, Microsoft, Amazon, and Red Hat.

The EuroSys community includes graduate students, postdoctoral researchers, faculty, and engineers from organizations such as Google, Microsoft, Facebook, Amazon, Apple, Intel, ARM, Nokia, Ericsson, Siemens, Bosch, and research institutions including INRIA, CNRS, Max Planck Society, Fraunhofer Society, and CERN. The conference fosters collaborations leading to joint projects with labs like Microsoft Research Cambridge, Google Brain, IBM Research Zurich, and academic consortia formed across European Research Council grants and Horizon Europe programs. Workshops and tutorials attract participation from communities represented at PLDI, POPL, SIGMOD, VLDB, ICML, and NeurIPS.