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Real-time visualization system for computational offloading / by Bryan Dawson and David L. Doria.
- Format:
- Book
- Government document
- Author/Creator:
- Dawson, Bryan, author.
- Doria, David L., author.
- Series:
- ARL-TN ; 0655.
- ARL-TN ; 0655
- Language:
- English
- Subjects (All):
- Computational steering (Computer science).
- Software visualization.
- Work sharing.
- Genre:
- Text
- Physical Description:
- 1 online resource (iv, 14 pages) : color illustrations.
- Place of Publication:
- Aberdeen Proving Ground, MD : Army Research Laboratory, January 2015.
- Language Note:
- English
- Summary:
- In recent years, the availability and sophistication of mobile computing devices has advanced incredibly. The power of these new devices warrants an exploration of their potential use in tactical environments. Unfortunately, no single device is powerful enough carry out the many computational tasks that will be required on the battlefield. To overcome this limitation, we have started to develop strategies that allow multiple devices to interact and share resources. These strategies include offloading computational tasks to nearby high-performance computers over the tactical network and computation ferrying, or picking up and processing jobs using mobile high-performance computers. These systems and algorithms are in early developmental stages and require complex emulation systems to test their effectiveness. These emulation systems are very useful but do not afford an inherent way to visualize experiments and show the state of the devices and jobs in real time. In this report, we fill this gap by presenting a software package that allows exactly this visualization. In addition, the same package provides the capability to visualize a computational ferrying schedule, which is useful to demonstrate how our scheduling algorithms would be carried out on the battlefield.
- The original document contains color images.
- Notes:
- "January 2015."
- Description based on online resource; title from PDF title page (ARL, viewed Sept. 25, 2019).
- Approved for public release; distribution is unlimited.
- text/html
- OCLC:
- 913595343
- Access Restriction:
- Open access content Open access content
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