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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 Science & Engineering Department The University of Connecticut 371 Fairfield Road, Box U-255 Storrs, CT 06269-2155 Robert.martin@engr.uconn.edu
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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.
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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
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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
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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.
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Martin-6 CSE 5810 Hospital Setting NDN
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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)
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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
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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)
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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)
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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.
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Martin-12 CSE 5810 Data Naming Application specific Flexible standards Classifications and standards can be adjusted
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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
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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
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Martin-15 CSE 5810 Discovery Service Maps out data on network (similar to DNS)
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Martin-16 CSE 5810 Mobility with IP Networking Illustration through example: Pre-loading patient’s data Large data files Based on IP network
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Martin-17 CSE 5810 Mobility with IP Networking Provider must request file again Additional stress to hospital network
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Martin-18 CSE 5810 Mobility with Named Data Networking Illustration through example: NDN based network
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Martin-19 CSE 5810 Mobility with Named Data Networking Data content cached
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Martin-20 CSE 5810 Mobility with Named Data Networking Data requested again Reduced redundant data packets
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Martin-21 CSE 5810 Simulation Settings Ns3 and ndnSIM extension used Regular IP based network vs. NDN integrated network Focus: Transmission times Network stress
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Martin-22 CSE 5810 Preliminary Simulation Data Network Stress Overall Transmission Time
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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
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Martin-24 CSE 5810 THANK YOU
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