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Martin-1 CSE 5810 CSE 5810 Individual Research Project: Integration of Named Data Networking for Improved Healthcare Data Handling Robert Martin Computer.

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Presentation on theme: "Martin-1 CSE 5810 CSE 5810 Individual Research Project: Integration of Named Data Networking for Improved Healthcare Data Handling Robert Martin Computer."— Presentation transcript:

1 Martin-1 CSE 5810 CSE 5810 Individual Research Project: Integration of Named Data Networking for Improved Healthcare Data Handling Robert Martin Computer Science & Engineering Department The University of Connecticut 371 Fairfield Road, Box U-255 Storrs, CT 06269-2155 Robert.martin@engr.uconn.edu

2 Martin-2 CSE 5810Motivation  Technology limitations  Larger data files  Multiple databases  Ever expanding healthcare network  Fast pace hospital environment  Providers constantly moving  Intolerant to delayed data access  Lack of communication between departments  Clinical, technical, business management, financial, etc.

3 Martin-3 CSE 5810 Large Scope  Keep up with change  Larger data files  Mobile devices  Real-time data availability  Conform to busy hospital environment  Revamp current network  Transparent infrastructure

4 Martin-4 CSE 5810 Overall Goal  Apply Named Data Networking within a hospital environment  Data connectivity  Improved transmission speeds (compared with regular IP networking)  Improved mobile device handling  Interoperability between diverse departments

5 Martin-5 CSE 5810 Named Data Networking (NDN) Image adapted from: Tsudik, Gene. NSF FIA PI meeting: “NDN team presentation.” Berkeley, CA, May 25, 2011.

6 Martin-6 CSE 5810 Hospital Setting NDN

7 Martin-7 CSE 5810 NDN vs. IP Networking  Named Data Networking  Data centric approach  IP Networking  Looks at where data is located Image adapted from: Jacobson et al. (full reference in notes)

8 Martin-8 CSE 5810 Interest and Data Packets  Interest Packet  Data name in query  Nonce is unique identifier  Selectors help better match interest to data  Scope and interest lifetime help guide packet to intended data  Data Packet  Content is of arbitrary data size  Signature is used to verify the packet’s producer and its integrity throughout transmission

9 Martin-9 CSE 5810 Pending Interest Table (PIT)  Monitors all unsatisfied interest packets  Entry classified as unsatisfied until either a data packet is received (to match its interest) or the interest lifetime value is reached “A Case for Stateful Forwarding Plane” by C. Yi et al. depicts a great image for how node’s use PITs(see full reference in notes)

10 Martin-10 CSE 5810 Forwarding Information Base (FIB)  Monitors downstream data location through next hop neighbor “A Case for Stateful Forwarding Plane” by C. Yi et al. depicts a great image for how node’s use FIBs(see full reference in notes)

11 Martin-11 CSE 5810 Content Storage  Cache data locally  Pushes data closer to consumer(s)  Allows network to become “data focused”  Quicker fetching of data for consumer  Data architecture can vary  FIFO, LRU, etc.

12 Martin-12 CSE 5810 Data Naming  Application specific  Flexible standards  Classifications and standards can be adjusted

13 Martin-13 CSE 5810Security  Nurse fetching data which is unrelated to her role in the hospital (e.g. Patent’s social security number)  Security integrated into data packet  Authentication process

14 Martin-14 CSE 5810 Fetching Data  Filtering naming system  Adjust documentation standards for each department  E.g. Financial employee and patient see “heart attack” vs. global view classification as “Myocardial Infarction”  Paths are dynamic while being transparent to end user  Nodes can be added or removed without having an effect on the user  Robust among dense networks We must make network aware of newly added data in an efficient manner

15 Martin-15 CSE 5810 Discovery Service  Maps out data on network (similar to DNS)

16 Martin-16 CSE 5810 Mobility with IP Networking  Illustration through example:  Pre-loading patient’s data  Large data files  Based on IP network

17 Martin-17 CSE 5810 Mobility with IP Networking  Provider must request file again  Additional stress to hospital network

18 Martin-18 CSE 5810 Mobility with Named Data Networking  Illustration through example:  NDN based network

19 Martin-19 CSE 5810 Mobility with Named Data Networking  Data content cached

20 Martin-20 CSE 5810 Mobility with Named Data Networking  Data requested again  Reduced redundant data packets

21 Martin-21 CSE 5810 Simulation Settings  Ns3 and ndnSIM extension used  Regular IP based network vs. NDN integrated network  Focus:  Transmission times  Network stress

22 Martin-22 CSE 5810 Preliminary Simulation Data Network Stress Overall Transmission Time

23 Martin-23 CSE 5810Conclusion  Apply NDN concepts in hospital infrastructure  “What” data instead of “Where”  Reduce stress on keynote features  Less bandwidth usage  Friendlier to mobile devices  Additional features  Adaptability with discovery service  Integrated security through data  Challenges  Acceptability by healthcare  Ensuring security of data

24 Martin-24 CSE 5810 THANK YOU


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