Welcome to VEE 2016
The 12th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE’16) brings together researchers and practitioners from different computer systems domains to interact and share ideas in order to advance the state of the art of virtualization, systems programming and programming languages.
Program, including full papers, available here
Best Paper awarded to Building a KVM-based Hypervisor for a Heterogeneous System Architecture Compliant System!
Call for Papers:
(available as PDF)
Virtualization has a central role in modern systems. It constitutes a key aspect in a wide range of environments, from small mobile computing devices to large-scale data centers and computational clouds. Virtualization techniques encompass the underlying hardware, the operating system, and the runtime system. Although these layers have different design and implementation techniques, the fundamental challenges and insights tend to be similar.
The 12th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE’16) brings together researchers and practitioners from different computer systems domains to interact and share ideas in order to advance the state of the art of virtualization and broaden its applicability. VEE’16 accepts both full-length and short papers. Both types of submissions are reviewed to the same standards and differ primarily in the scope of the ideas expressed. Short papers are limited to half the space of full-length papers. The program committee will not accept a full paper on the condition that it is cut down to fit in a short paper slot, nor will it invite short papers to be extended to full length. Submissions will be considered only in the category in which they are submitted.
Short papers are relatively new to VEE. An ideal short paper would express an idea that doesn’t require 12 pages to describe or evaluate. The ideas should be well formed and complete just like those in a full-length paper. A short paper should not be a HotOS / HotStorage-style workshop paper with an interesting idea that isn’t yet fully developed. Short papers will be held to the same standard as full-length papers in terms of clarity of presentation and evaluation, however, the scope of the work as well as the breadth of the evaluation is expected to be smaller.
We invite authors to submit original papers related to virtualization across all layers of the software stack down to the microarchitectural level. Topics of interest include (but are not limited to):
- virtualization support for programs and programmers;
- architecture support for virtualization;
- operating system support for virtualization;
- compiler and programming language support for virtualization;
- runtime system support for virtualization;
- virtual I/O, storage, and networking;
- memory management;
- managed runtimes and virtual machines;
- management technologies for virtual environments;
- performance analysis and debugging for virtual environments;
- security and virtual environments
- virtualization in cloud computing
- virtualization technologies applied to specific problem domains such as HPC, realtime, and power management.
As usual (since 2008), VEE’16 is co-located with ASPLOS 2016, which will take place in Atlanta, Georgia. VEE’16 will be held concurrently with the ASPLOS 2016 workshops on April 2-3, 2016.
Please direct correspondence to the chairs using the following email: email@example.com
Tzi-Cker Chieuh (Industrial Technology Research Institute, Taiwan)
John Criswell (University of Rochester)
Dilma Da Silva (Texas A&M University)
Julian Dolby (IBM Thomas J. Watson Research Center)
Björn Franke (University of Edinburgh)
Soo-Mook Moon (Seoul National University)
Guilherme Ottoni (Facebook)
Kevin Pedretti (Sandia National Laboratories)
Behnam Robatmilli (Qualcomm Research)
Chris Rossbach (VMware Research and University of Texas at Austin)
Mark Silberstein (Technion---Israel Institute of Technology)
Mary Lou Soffa (University of Virginia)
Malgorzata Steinder (IBM Research)
Priyanka Tembey (VMware)
Peng Wu (Huawei America Lab)