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[apologies for cross-postings]<br>
<br>
The Workshop on Virtualization in High-Performance Cloud Computing
(VHPC) <<a class="moz-txt-link-rfc2396E moz-txt-link-freetext" href="https://vhpc.org/" moz-do-not-send="true">https://vhpc.org/</a>>
is an international forum bringing together researchers and
industrial practitioners facing the challenges posed by
virtualization in HPC/Cloud scenarios, in order to foster
discussion, collaboration, mutual exchange of knowledge and
experience, enabling research to ultimately provide novel solutions
for virtualized computing systems of tomorrow.<br>
<br>
The 18th edition of VHPC will be held on May 25th, 2023, jointly
with the ISC High-Performance 2023 <a class="moz-txt-link-rfc2396E" href="https://www.isc-hpc.com/" moz-do-not-send="true"><https://www.isc-hpc.com/></a>
conference and exhibition in Hamburg (Germany), and it welcomes
contributions on the research topics detailed below. Paper
submissions are due on April 19th. Accepted papers will be published
on Springer LNCS series, and indexed by Scopus, among others.<br>
Workshop Overview<br>
<br>
Containers and virtualization technologies constitute key enabling
factors for flexible resource management in modern data centers, and
particularly in cloud environments. Cloud providers need to
seamlessly manage complex infrastructures, to support the highly
dynamic and heterogeneous workloads customers deploy. Similarly, HPC
environments have been increasingly adopting techniques that enable
flexible management of vast computing and networking resources,
close to marginal provisioning cost, which is unprecedented in the
history of scientific and commercial computing.<br>
<br>
Various virtualization-containerization technologies contribute to
the overall picture in different ways: machine virtualization, with
its capability to enable consolidation of multiple underutilized
servers with heterogeneous software and operating systems (OSes),
and its capability to live-migrate a fully operating virtual
machine (VM) with a very short downtime, enables novel and dynamic
ways to manage physical servers; OS-level virtualization (i.e.,
containerization), with its capability to isolate multiple
user-space environments and to allow for their coexistence within
the same OS kernel, promises to provide many of the advantages of
machine virtualization with high levels of responsiveness and
performance; lastly, unikernels provide for many virtualization
benefits with a minimized OS/library surface. I/O virtualization, in
turn, allows physical network interfaces to exchange traffic with
multiple VMs or containers; network virtualization, with its
capability to create logical network overlays independently from the
underlying physical topology, is another fundamental enabling
technology for Cloud/HPC infrastructures. Last, storage
virtualization needs to evolve to support increasingly demanding
requirements in terms of performance and reliability for the managed
application data.<br>
<br>
<b>Topics of Interest</b><br>
<br>
The VHPC program committee solicits original, high-quality
submissions related to virtualization across the entire software
stack with a special focus on the intersection of HPC,
containers-virtualization and cloud computing, focusing on the
following major topics:<br>
<br>
* HPC on Containers and VMs;<br>
* Containerized applications with OS-level virtualization;<br>
* Lightweight applications with Unikernels;<br>
* HPC-as-a-Service.<br>
<br>
Each of these major topics encompasses design/architecture,
management, performance management, modeling and
configuration/tooling, leading to the following detailed, but
non-necessarily exhaustive, list of topics of interest:<br>
<br>
Design / Architecture:<br>
<br>
* Containers and OS-level virtualization (LXC, Docker, rkt,
Singularity, Shifter, i.a.)<br>
* Hypervisor support for heterogeneous resources (GPUs,
co-processors, FPGAs, etc.)<br>
* Hypervisor extensions to mitigate side-channel
attacks([micro-]architectural timing attacks, privilege escalation)<br>
* VM & Container trust and security models<br>
* Multi-environment coupling, system software supporting in-situ
analysis with HPC simulation<br>
* Cloud reliability, fault-tolerance and high-availability<br>
* Cloud-based quantum compute services<br>
* Energy-efficient and power-aware virtualization<br>
* Containers inside VMs with hypervisor isolation<br>
* Virtualization support for emerging memory and storage
technologies<br>
* Lightweight/specialized operating systems in conjunction with
virtual machines<br>
* Hypervisor support for heterogeneous resources (GPUs,
co-processors, FPGAs, etc.)<br>
* Unikernels and use cases for virtualized HPC environments<br>
* Formal definition and verification of hypervisors and
virtualization system properties<br>
* ARM-based hypervisors, ARM virtualization extensions<br>
<br>
Management:<br>
<br>
* Container and VM management for HPC and cloud environments<br>
* HPC services integration, services to support HPC<br>
* Service and on-demand scheduling & resource management<br>
* Dedicated workload management with VMs or containers<br>
* Workflow coupling with VMs and containers<br>
* Unikernels and lightweight VM application management<br>
* Environments and tools for operating containerized environments
(batch, orchestration)<br>
* Models for non-HPC workload provisioning on HPC resources<br>
<br>
Performance Measurements and Modeling:<br>
<br>
* Performance improvements for, or driven by, unikernels<br>
* Optimizations of virtual machine monitor platforms and
hypervisors<br>
* Scalability analysis of VMs and/or containers at large scale<br>
* Performance measurement, modeling and monitoring of
virtualized/cloud workloads<br>
* Virtualization in supercomputing environments, HPC clusters, HPC
in the cloud<br>
* Energy-efficient deployment of high-performance, ultra-low
latency and real-time workloads in cloud infrastructures<br>
* Modeling, control and isolation of end-to-end performance for
parallel & distributed cloud/HPC applications<br>
<br>
Configuration / Tooling:<br>
<br>
* Tool support for unikernels: configuration/build environments,
debuggers, profilers<br>
* Job scheduling/control/policy and container placement in
virtualized environments<br>
* Measuring and controlling "OS/Virtualization noise"<br>
* Operating MPI in containers/VMs and Unikernels<br>
* GPU virtualization operationalization<br>
<br>
<b>Organization</b><br>
<br>
The workshop will be one day in length, composed of 20 min paper
presentations, each followed by 10 min discussion sections, plus
lightning talks that are limited to 5 minutes. Presentations may be
accompanied by interactive demonstrations.<br>
<br>
For more information and detailed paper submission instructions,
refer to the VHPC'23 webpage: <a class="moz-txt-link-rfc2396E
moz-txt-link-freetext" href="https://vhpc.org/" moz-do-not-send="true">https://vhpc.org/</a><br>
<br>
<b>Important Dates</b><br>
<br>
* <b>Mar 12th, 2023</b>: Abstract registration (/rolling abstract
registrations//always open/)<br>
* <b>Mar 19th, 2023</b>: Paper submission deadline (/Springer
LNCS/)<br>
* <b>Apr 15th, 2023</b>: Acceptance notification<br>
* <b>May 25th, 2023</b>: Workshop Day<br>
* <b>Jun TBA, 2023</b>: Camera-ready version due (/post-workshop/)<br>
<br>
<b>General Chairs</b><br>
<br>
* Michael Alexander, Institute of Science and Technology, Austria<br>
* Anastassios Nanos, Nubificus Ltd., UK<br>
* Tommaso Cucinotta, Scuola Superiore Sant'Anna, Italy<br>
<br>
-- <br>
Tommaso Cucinotta, Associate Professor of Computer Engineering, PhD<br>
Head of the Real-Time Systems Laboratory (ReTiS)<br>
Scuola Superiore Sant'Anna, Pisa, Italy<br>
<a class="moz-txt-link-freetext" href="http://retis.sssup.it/~tommaso/eng/research.html" moz-do-not-send="true">http://retis.sssup.it/~tommaso/eng/research.html</a><br>
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