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[apologies for cross-postings]<br>
<p>The <a moz-do-not-send="true" href="vhpc.org/">Workshop on
Virtualization in High-Performance Cloud Computing (VHPC)</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 17th edition of VHPC will be held on June 2nd, jointly with
the <a moz-do-not-send="true" href="https://www.isc-hpc.com/">ISC
High-Performance 2022</a> conference and exhibition in Hamburg
(Germany), and will feature two excellent industrial <u><i>keynote
speakers</i></u><br>
</p>
<ul>
<li>“rtla: finding the sources of OS noise on Linux”, Daniel
Bristot De Oliveira, Senior Principal Software Engineer in the
real-time kernel team at Red Hat</li>
<li>“DynamoDB: NoSQL database services for predictable HPC
workloads”, Akshat Vig, Principal Software Engineer at Amazon
Web Services (AWS).</li>
</ul>
<p>In addition to the general research topics mentioned below,
VHPC'22 encourages particularly contributions on the following <u><i>focus
topics</i></u>:<br>
</p>
<ul>
<li> Container Platforms (Kubernetes, Docker, Singularity,
Shifter, rkt, …) for Scientific Workflows</li>
<li>Composable Lightweight Applications and Unikernel Frameworks</li>
<li>Latency Control and Data/Container Placement in Heterogeneous
HPC Virtualized Environments</li>
<li>Energy-efficiency and Service Orchestration in Virtualized
Cloud & HPC Infrastructures <br>
</li>
</ul>
<ul>
</ul>
<p><b>Workshop Overview</b><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
manage complex and heterogeneous infrastructures in a seamless
fashion to support the highly dynamic and diverse workloads and
applications 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. More recently, Function as
a Service (Faas) and Serverless computing, leveraging on
lightweight virtualizaton and containerization solutions, widens
the spectrum of applications that can be deployed in a cloud
environment, especially in an HPC context. Here, HPC-provided
services can become accessible to distributed workloads outside of
large cluster environments. <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 bare-metal
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
take traffic from multiple VMs or containers; network
virtualization, with its capability to create logical network
overlays that are independent of the underlying physical topology
is furthermore enabling virtualization of HPC infrastructures. <br>
</p>
<p><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. <br>
<br>
Each topic encompasses aspects related to design/architecture,
management, performance management, modeling and
configuration/tooling: <br>
<br>
Design / Architecture: <br>
</p>
<ul>
<li>Containers and OS-level virtualization (LXC, Docker, rkt,
Singularity, Shifter) </li>
<li>Hypervisor support for heterogeneous resources (GPUs,
co-processors, FPGAs, etc.) </li>
<li>Hypervisor extensions to mitigate side-channel attacks
([micro-]architectural timing attacks, privilege escalation) </li>
<li>VM & Container trust and security models </li>
<li>Multi-environment coupling, system software supporting in-situ
analysis with HPC simulation </li>
<li>Cloud reliability, fault-tolerance and high-availability </li>
<li>Energy-efficient and power-aware virtualization </li>
<li>Containers inside VMs with hypervisor isolation </li>
<li>Virtualization support for emerging memory technologies </li>
<li>Lightweight/specialized operating systems in conjunction with
virtual machines </li>
<li>Hypervisor support for heterogeneous resources (GPUs,
co-processors, FPGAs, etc.) </li>
<li>Novel unikernels and use cases for virtualized HPC
environments </li>
<li>ARM-based hypervisors, ARM virtualization extensions<br>
</li>
</ul>
<p>Management: <br>
</p>
<ul>
<li>Container, VM and data management for HPC and cloud
environments </li>
<li>HPC services integration, services to support HPC </li>
<li>Service and on-demand scheduling & resource management </li>
<li>Dedicated workload management with VMs or containers </li>
<li>Workflow coupling with VMs and containers </li>
<li>Unikernels and lightweight VM application management </li>
<li>Environments and tools for operating containerized
environments (batch, orchestration) </li>
<li>Novel models for non-HPC workload provisioning on HPC
resources<br>
</li>
</ul>
<p>Performance Measurements and Modeling: <br>
</p>
<ul>
<li>Performance improvements for or driven by unikernels </li>
<li>Optimizations of virtual machine monitor platforms and
hypervisors </li>
<li>Scalability analysis of VMs and/or containers at large scale </li>
<li>Performance measurement, modeling and monitoring of
virtualized/cloud workloads </li>
<li>Virtualization in supercomputing environments, HPC clusters,
HPC in the cloud </li>
<li>Energy-efficient deployment of high-performance, ultra-low
latency and real-time workloads in cloud infrastructures </li>
<li>Modeling, control and isolation of end-to-end performance for
parallel & distributed cloud/HPC applications<br>
</li>
</ul>
<p>Configuration / Tooling: <br>
</p>
<ul>
<li>Tool support for unikernels: configuration/build environments,
debuggers, profilers </li>
<li>Job scheduling/control/policy and container placement in
virtualized environments </li>
<li>Measuring and controlling “OS/Virtualization noise” </li>
<li>Operating MPI in containers/VMs and Unikernels </li>
<li>GPU virtualization operationalization </li>
</ul>
<p> 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.</p>
<p>For more information and detailed paper submission instructions,
refer to the <a moz-do-not-send="true" href="https://vhpc.org/">VHPC'22
webpage</a>:<br>
<a class="moz-txt-link-freetext" href="https://vhpc.org/" moz-do-not-send="true">https://vhpc.org/</a><br>
</p>
<p><b>Important Dates</b></p>
<p> </p>
<ul>
<li><strong>Apr 12th, 2022</strong>: Abstract submission (opens <em>Feb
14th, 2022</em>)</li>
<li><strong>Apr 19th, 2022</strong>: Paper submission deadline
(Springer LNCS)</li>
<li><strong>May 3rd, 2022</strong>: Acceptance notification</li>
<li><strong>Jun 2nd, 2022</strong>: Workshop Day</li>
<li><strong>Jul 10th, 2022</strong>: Camera-ready version due
(post-workshop)</li>
</ul>
<p><b>General Chairs</b><br>
</p>
<ul>
<li>Michael Alexander, BOKU Vienna, Austria </li>
<li>Anastassios Nanos, Nubificus Ltd., UK </li>
<li>Tommaso Cucinotta, Scuola Superiore Sant’Anna, Ital </li>
</ul>
<ul>
</ul>
<pre class="moz-signature" cols="120">--
Tommaso Cucinotta, Associate Professor of Computer Engineering, PhD
Head of the Real-Time Systems Laboratory (ReTiS)
Scuola Superiore Sant'Anna, Pisa, Italy
<a class="moz-txt-link-freetext" href="http://retis.sssup.it/people/tommaso" moz-do-not-send="true">http://retis.sssup.it/~tommaso/eng/research.html</a></pre>
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