Custom Query (1408 matches)

Demo description paragraph (three sentence minimum):

Intelligent data management service is dynamic storage and networking solution. It is deployed in Geni to evaluate performance. In this demonstration, we are extending our previous stitched shared-vlan experiment with meso-scale openFlow experiment spread across uh-eg, gpo-eg and fiu-eg. Two experiment are connected to each other using Layer 3 router deployed in VM at Illinois-ig. We will also be deploying Phoebus Gateways on backbone for external access to the experiment.

List of equipment that will need AC connections (e.g. laptop, switch, monitor): 1 monitor 2 laptops

Total number of wired network connections (sum standard IP and VLAN connections): NONE

Number of wired layer 2 VLANs (if any): 1 wired connection

Number of wireless network connections (include required bandwidth if significant): None

Number of static addresses needed (if any): NONE

Monitor (y/n, specify VGA or DVI): 1 ( 32" )

Number of posters (max size poster boards are 30" x 40"):1 poster (30" x 24")

Special requests: NONE

(from Ashok Anand ​ashok@cs.wisc.edu)

1. Internet traffic is increasing at a tremendous rate. We propose a

framework of deploying packet level redundancy elimination (RE) on network elements (e.g., routers) ) and show that it can serve as an effective way to improve network efficiency without expensive upgrading of network links to higher bandwidths. In the demo, we first show the current scenario of Internet video transmission in terms of link loads.

We then show the impact of RE, and how it reduces link loads by

eliminating redundant content. We have RE enabled software routers, which are configured by a Nox controller.

2. 2 AC connections total; 2 Laptops, one as video client, and other

for viewing link loads

3. 2 wired network connections

4. 1 wireless network connection

5. No monitors or projectors

6. 1 poster

7. No static addresses

8. No special requests

1. Offloading is a widely proposed solution for coping with the increased demands emerging mobile applications place on these resource constrained defines. However, existing systems have not been widely adopted because (i) they lack mechanisms to ensure data privacy, and (ii) they pay little attention to the decision of where to offload. We have developed an enterprise framework to opportunistically leverage available computational resources and offer both security guarantees and performance/energy improvements to smartphone users. Our demonstration showcases our central controller which assigns offloading tasks based on resource availability and an administrator specified security policy. We show security is maintained and available resources are maximally leveraged.
2. Laptop, switch
3. One wired connection
4. One wireless connection
5. No projector or monitor
6. One poster board
7. No static addresses
8. No special requests