KanseiGenie : Summary Report and Prospectus Anish Arora, Hongwei Zhang, Rajiv Ramnath, Mukundan Sridharan, Wenjie Zeng, Xi Ju, Jing Li July 28, 2011 Anish Arora, Hongwei Zhang, Rajiv Ramnath, Mukundan Sridharan, Wenjie Zeng, Xi Ju, Jing Li July 28, 2011

2 WSN experimental infrastructures Mirage UMN Mirage Intel Tutornet USC NetEye WSU A Line in the Sand ExScal VigilNet CitySense

3 KanseiGenie: GENI-fying and Federating Autonomous Wireless Sensor Networks WSU

4 Refactored KaseiGenie architecture (GEC4, 04/01/2009) Refactored Kansei web interface into Researcher Portal Genified (most) Kansei user services as web services  e.g. implemented (some of the) experiment interaction interfaces as web services Genified Kansei scheduler Genified CM/AM aspects of Experiment & Slice Management planes

5 KanseiGenie-ORCA integration (GEC7, 03/18/2010)

6 LENS: Language for Embedded Networked Sensing (GEC7 – GEC11) Design principles:  Distinguish specified properties as controlled or observed  Controllable factors: co-channel interference … Observable-only factors: slow time-varying wireless path loss …  Controllability is context-specific: control by “choice” in WSN federations o Path loss exponent …  Enable reasoning about relationship/ dependencies among resources  Channel relation (e.g., path loss) between nodes  Correlation among links  Whole-lifecycle resource management  Support different use cases in resource request, delegation/allocation, monitoring, and release

7 LENS (2)

8 LENS Request Parser Experiments Join/Leave Setup Ticket/Lease Request Lease Status Check KanseiGenie KanseiGenie Broker Fine-grained Resource Management Policy  LENS-based resource query and allocation Repository Manager  LENS-based resource pool: free, pending, allocated KanseiGenie Service Manager Experiment Guest Handler  LENS converter for resource request (RR)  LENS serializer and publisher for RR Experiment Controller  LENS-to-ORCA converter  LENS Ontology Reasoning KanseiGenie Site Authority Site Policy Plug-In  Management of LENS-described resource  Export of LENS- described resource Experiment Handler  Client to site scheduler Researcher Portal

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10 LENS-based Resource Management

11 Experiment Specification & Control

12 KanseiGenie Doctor Reason about expt. Failures:  Experiment design?  Malfunctioning testbed? Support heterogeneous platforms  Motes : TelosB, XSM  Stargates  Laptops Visual presentation of health status data

13 KanseiGenie Experiments by Outside Researchers Institutions from 20+ institutions used KanseiGenie testbeds  UCLA  Michigan State  Northwestern  USC  UT, Dallas  Stanford  ICT (Australia)  SUNY –Buffalo  City University of Hong Kong (China)  University of Sci. & Tech. (China)  Southeastern University (China)  Constantly being used for experiments  2,000+ experiments over this year  500+ experiments since last month

14 Unplanned, Encouraging Surprises KanseiGenie federation beyond Kansei and NetEye  Oklahoma State University  Tsinghua University (China, in progress)  Osaka University (Japan, in exploration) VLAN connectivity between OSU and WSU, and with the broader GENI infrastructures

15 KanseiGenie VLAN Connectivity OSU WSU MiLR/ MERIT OSU - OIT OARNET NLR RENCI/BEN Starlight NLR FrameNet

16 Prospectus International collaboration  Tsinghua University (China)  Osaka University (Japan)  Indian Institute of Science (India) Continued GENI involvement?  KanseiGenie-RACK integration  Sensor deployment with GENI RACKs  WiMAX in Metro Detroit  WiMAX client (Intel) o Integrated client-server measurement  Smart transportation smart grid, healthcare o GENI-ns3 integration  WiMAX-KanseiGenie integration  Kansei-Lite, Kansei-Mobile

17 KanseiGenie

18 Backup Slides

19 “VLAN vs. Layer3” Switch