Changes between Version 4 and Version 5 of GENINICE/EveningDemoSession

Timestamp:

11/04/15 13:36:37 (8 years ago)

Author:

peter.stickney@bbn.com

Comment:

--

GENINICE/EveningDemoSession

@@ -116 +116 @@
  * Zak Zafar
  * Esma Yahia
+
+=== SDN & NFV ===
+
+==== Network Measurement & Inference with SDN-enabled Online Learning ====
+
+Fine grained information about the Internal Attributes of Interest (IAI) of a network, such as the per-flow size, delay, throughput or packet loss, provides an essential input for network design, capacity planning, routing protocol configuration and anomaly detection. In this poster, we would like to revisit the problem of network inference in the context of SDN-based networks. Using traffic matrix estimation (TME) as a case study, we propose a new measurement & inference framework with SDN-enabled online learning and show the performance of our framework for TM estimation and (hierarchical) heavy-hitter detection.
+
+Participants:
+ * Chang Liu, cchliu@ucdavis.edu, University of California-Davis 
+ * Mehdi Malboubi
+ * Chen-Nee Chuah
+
+==== Virtual Network Migration Mechanism on GENI Platform ====
+
+Network virtualization provides flexibility, enables agility and increases manageability by allowing coexistence of multiple virtual networks on the same physical substrate. Virtual network is built on top of the physical infrastructure and is assigned a subset of the underlying physical network resources. To have a better resource management, to recover from failure or provide defense against attacks, virtual networks may need to be remapped to different physical locations from time to time. However, there has not been a lot of work addressing the challenges of deploying a virtual migration mechanism in real infrastructure and exploring how the interaction between the virtual network and substrate network can affect the desired migration. In our project, we design and evaluate a virtual network migration mechanism in Openflow-enabled GENI platform. Specifically, we want to explore (1) how to deploy virtual network on GENI platform, (2) how to design a migration controller to make migration quick and automatic, and (3) how to minimize the disruption caused by migration. We will reveal the challenge and restriction to conduct virtual network migration experiments on GENI, and give recommendations for GENI platform to enhance their ability to support virtual network migration experiments. 
+
+Participants:
+ * Yimeng Zhao, zhaoym428@gmail.com
+ * Samantha Lo
+ * Niky Riga
+ * Mostafa Ammar
+ * Ellen Zegura
+
+==== TBD ====
+
+My demo is based generally on the openFlow architecture, and more specifically my demo consists of:
+ * Floodlight
+ * OVS Swithes(Open vSwitch): precisely I am using 10 of these Switches
+ * 2 nodes, 1 as the client and the other one is the server.
+
+The purpose of my research is finding the best algorithm that guaranties the fastest communication between the client and the server node when n numbers of OVS Swithes are being interconnected to the client and the server host.
+
+Then the next step of my research will be improving this algorithm to cover the security part, and how to avoid the communication attacks.
+
+Participants:
+ * Mohamed Rahouti, mrahouti@mail.usf.edu, University of Southern Florida
+ *  Dr. Kaiqi Xiong
+