| 412 | |
| 413 | == !GridStat on GENI : Simulating a Smart Power Grid Infrastructure over GENI (PlanetLab) == |
| 414 | |
| 415 | Divya Giri, Washington State University [[br]] |
| 416 | Ruma Rani Paul, Washington State University |
| 417 | |
| 418 | '''Abstract''' |
| 419 | Developments in power grid measurement and monitoring technology have enabled precise and frequent measurement of the state of the power grid. Modern power grid control infrastructure are insufficient to the effective forwarding of this information to the necessary control facilities. The GridStat framework offers an efficient, low-latency data forwarding framework that can provide the necessary Quality of Service for control facilities to maintain sub-second status of monitored power grid substations. However, the current GridStat prototypes have not been tested outside local clusters. The GENI infrastructure provide the platform through which it is possible to test GridStat at scale and identify problems with the current framework. |
| 420 | |
| 421 | GENI Project: [[br]] |
| 422 | [wiki:PlanetLab] |
| 423 | |
| 424 | ---- |
| 425 | |
| 426 | == The Performance Evaluation of Bandwidth Allocation Algorithms in Multi-domain Networks == |
| 427 | |
| 428 | Jiten Patel, Rochester Institute of Technology [[br]] |
| 429 | Kaiqi Xiong, Rochester Institute of Technology [[br]] |
| 430 | |
| 431 | '''Abstract''' |
| 432 | This project is concerned with dynamic bandwidth allocation in multi-domain networks. We have been designing and developing the algorithms to minimize the total cost of network bandwidth when satisfying the requirements of Quality of Service (QoS) predefined in the Service Level Agreement (SLA). An SLA is a contract negotiated between a network service provider and customers. The goal of this research is to evaluate the performance of these bandwidth allocation algorithms by a use of the GENI infrastructure. We have conducted experiments for the validation of percentile delay calculations as well as the evaluation of Additive Increase/Multiplicative Decrease (AIMD)-based bandwidth allocation algorithms. Furthermore, by using the research experiments of this project, we have designed GENI educational experiments that have been used in networking courses at RIT. |
| 433 | |
| 434 | ---- |
| 435 | |
| 436 | == MAX GENI Aggregate Federation and Stitching == |
| 437 | |
| 438 | Tom Lehman, University of Southern California [[br]] |
| 439 | Xi Yang, Information Sciences Institute, Virginia [[br]] |
| 440 | Abella Battou, Mid-Atlantic Crossroads GigaPOP [[br]] |
| 441 | Balu Pillai, University of Maryland [[br]] |
| 442 | |
| 443 | '''Abstract''' |
| 444 | The MAX project has constructed the "Mid-Atlantic Crossroads GENI (MAX GENI) Facility" which enables the MAX Regional Network resources to be made available for GENI experiments. This includes development of a MAX Aggregate Manager which integrates the dynamic provision of network and host based resources. The host based resources include !PlanetLab node virtual slices. MAX Network Stitching capabilities allow the host resources to be stitched together with Ethernet VLANs. The MAX AM is also federated with !PlanetLab Princeton and ProtoGENI. In addition, a separate instance of a MAX Aggregate Manager has been deployed to "cover" the Internet2 ION Network.This combination of these capabilities now allows us to provide multi-aggregate sliver creation and stitching operations in response to Experimenters requests. |
| 445 | |
| 446 | More Information: [[br]] |
| 447 | geni.maxgigapop.net/twiki/pub/GENI/Publications/max-geni-gec11-poster.pdf [[br]] |
| 448 | geni.maxgigapop.net |