Migrating EO/IR sensors to cloud-based infrastructure as service architectures

Stephen T. Berglie; Steven Webster; Christopher M. May

doi:10.1117/12.2050556

13 June 2014 Migrating EO/IR sensors to cloud-based infrastructure as service architectures

Stephen T. Berglie, Steven Webster, Christopher M. May

Proceedings Volume 9095, Modeling and Simulation for Defense Systems and Applications IX; 909505 (2014) https://doi.org/10.1117/12.2050556
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

The Night Vision Image Generator (NVIG), a product of US Army RDECOM CERDEC NVESD, is a visualization tool used widely throughout Army simulation environments to provide fully attributed synthesized, full motion video using physics-based sensor and environmental effects. The NVIG relies heavily on contemporary hardware-based acceleration and GPU processing techniques, which push the envelope of both enterprise and commodity-level hypervisor support for providing virtual machines with direct access to hardware resources. The NVIG has successfully been integrated into fully virtual environments where system architectures leverage cloudbased technologies to various extents in order to streamline infrastructure and service management. This paper details the challenges presented to engineers seeking to migrate GPU-bound processes, such as the NVIG, to virtual machines and, ultimately, Cloud-Based IAS architectures. In addition, it presents the path that led to success for the NVIG. A brief overview of Cloud-Based infrastructure management tool sets is provided, and several virtual desktop solutions are outlined. A discrimination is made between general purpose virtual desktop technologies compared to technologies that expose GPU-specific capabilities, including direct rendering and hard ware-based video encoding. Candidate hypervisor/virtual machine configurations that nominally satisfy the virtualized hardware-level GPU requirements of the NVIG are presented , and each is subsequently reviewed in light of its implications on higher-level Cloud management techniques. Implementation details are included from the hardware level, through the operating system, to the 3D graphics APls required by the NVIG and similar GPU-bound tools.

Citation Download Citation

Stephen T. Berglie, Steven Webster, and Christopher M. May "Migrating EO/IR sensors to cloud-based infrastructure as service architectures", Proc. SPIE 9095, Modeling and Simulation for Defense Systems and Applications IX, 909505 (13 June 2014); https://doi.org/10.1117/12.2050556

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Sensors

Video

Clouds

Infrared sensors

Visualization

Computer simulations

Environmental sensing

Show All Keywords

Keywords/Phrases

Search In:

Publication Years