[Sis-dtn] FW: LTP - upcoming seminar

[Scott, Keith L.]

From: "Clark, Gilbert J. (GRC-LCN0)" <gilbert.j.clark at nasa.gov>
Date: Tuesday, August 28, 2018 at 4:09 PM
To: Scott Burleigh <scott.c.burleigh at jpl.nasa.gov>, Keith Scott <kscott at mitre.org>, Brett Willman <brett.m.willman at nasa.gov>, Adam Schlesinger <adam.m.schlesinger at nasa.gov>, "Pohlchuck, William A. (JSC-OD)[THE BOEING COMPANY]" <william.a.pohlchuck at nasa.gov>, "Basciano, Thomas E. (JSC-OD111)" <thomas.e.basciano at nasa.gov>
Subject: FW: LTP - upcoming seminar

Hi,

There are times that messages don’t make it out to mailing lists as I’d expect them to, so I figured I’d pass this along directly to some folks I thought might have an interest in the subject matter.

Please feel free to disregard (with my apologies) in the event this is not the case ☺

Cheers,
Gilbert

From: "Clark, Gilbert J. (GRC-LCN0)" <gilbert.j.clark at nasa.gov>
Date: Tuesday, August 28, 2018 at 3:49 PM
To: nasa-ion-wg <nasa-ion-wg-bounces at lists.nasa.gov>
Subject: LTP - upcoming seminar

Hi all,

We have a professor (Dr. Ricardo Lent) traveling to GRC on Friday, August 31st to offer a seminar on work he has performed to date.  I believe the work may be of interest to this working group, so the title and abstract for his seminar have been included below.

Feel free to get in touch if interested in attending, and I’ll pass along relevant WebEx information.

With that, we now return you to your regularly scheduled mailing list (currently in progress).

Cheers,
Gilbert Clark


Title:

Performance evaluation of LTP and a Self-Optimizing Block Segmentation Technique



Date / Time:

8/31/2018

1:00 PM eastern



Speaker:

Ricardo Lent

University of Houston



Abstract:

Cognitive networking enables the creation of a self-adaptive network that can help to significantly reduce the manual configuration efforts needed to run the system. By implementing a continuous observation of the network state, a cognitive network can independently recognize and adapt to changes in the environment or user demand. These properties can be particularly attractive for the reliable transmission of data bundles in challenged networks that can be affected by erratic factors. In this talk, I will present our ongoing research efforts on cognitive networking methods for improving space communications. First, I will introduce a performance evaluation study of the Licklider Transport Protocol–a common convergence layer choice.  Through the use of analytical and computational methods not previously used for the study of LTP, we identify theoretical performance limitations and optimization opportunities with this protocol. Second, I will introduce a neuromorphic computing approach leading to the design of a cognitive network controller. The controller uses a recurrent spiking neural network structure to learn and to decide the next optimal action. To demonstrate the main results of this study, I will then present the benefits of introducing a self-optimizing block segmentation process to LTP through a simulation study of a space link. Our approach to cognitive networking offers a unique avenue for achieving an optimal use of space communications links.

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