Draft-rosen-dns-sos-02 Brian Rosen. The basic idea 123.main.pittsburgh.allegheny.pa.us.sos.arpa contains a NAPTR, sos+psap, of something like

Slides:



Advertisements
Similar presentations
Providing Certainty in Addressing - A Revised Street Addressing Standard Anselm Haanen Deputy Surveyor-General, LINZ Brian Goodchild Manager, Geographic.
Advertisements

Additional Data related to an Emergency Call draft-ietf-ecrit-additional-data-00.txt Hannes Tschofenig Brian Rosen.
1 Human Computer Interaction Week 3 User Interface Design.
DDI3 Uniform Resource Names: Locating and Providing the Related DDI3 Objects Part of Session: DDI 3 Tools: Possibilities for Implementers IASSIST Conference,
Brian Rosen Chair, Long Term Definition WG.  i1 = document older strategies for VoIP into  i2 = standard way to support VoIP on current E9-1-1.
 Balancing Symbols 3. Applications
Chapter 9 Hypothesis Testing
Community service Project By: Brennan Wescott. Problem? I did my project on the homeless. Homelessness is when people do not have a home to go to or cannot.
GIS Error and Uncertainty Longley et al., chs. 6 (and 15) Sources: Berry online text, Dawn Wright.
Quadtrees Raster and vector.
United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys, Bangkok,
1 CODE TESTING Principles and Alternatives. 2 Testing - Basics goal - find errors –focus is the source code (executable system) –test team wants to achieve.
Application Layer At long last we can ask the question - how does the user interface with the network?
XML Namespaces Andrey Smirnov CSCI 7818 September 21, 2000.
North American Emergency Services Brian Rosen Emergicom.
Geocoding: - Table to geocode may be an ASCII, spreadsheet, dBase, or MapInfo table - Referred to as the “target” table - The target table is the attribute.
THE PROJECT TEAM TYPICAL REQUIREMENTS AND RESPONSIBILITIES OF THE PROJECT TEAM TRADITIONAL TEAM ORGANIZATION AND VARIATIONS THE OWNER’S TEAM THE DESIGN.
The Calibration Process
NENA Development Conference | October 2014 | Orlando, Florida How will your GIS data be uploaded to the NG9-1-1 System? Jason Horning & Brian Rosen NENA:
The Next Generation Proof-of-Concept System.
Copyright ©2005 Brooks/Cole, a division of Thomson Learning, Inc. How to Get a Good Sample Chapter 4.
Unit 4 – XML Schema XML - Level I Basic.
4.00 Understand promotion and intermediate uses of marketing- information.
 2007 Pearson Education, Inc. All rights reserved C Formatted Input/Output.
North American Emergency Services Brian Rosen Emergicom.
Locating objects identified by DDI3 Uniform Resource Names Part of Session: Concurrent B2: Reports and Updates on DDI activities 2nd Annual European DDI.
NEMSIS Compliance National Database Implementation National EMS Reports.
SDO Emergency Services Coordination Workshop (ESW06) 1 A Location-to-Service Translation Protocol (LoST) & Mapping Protocol Architecture Ted Hardie Andrew.
Development and Testing of Comprehensive Transport and Dispersion Model Evaluation Methodologies Steven Hanna (GMU and HSPH) OFCM Hanna 19 June 2003.
NENA Next Generation Architecture
Pointers in the TEI Current issues 3 octobre 2004.
NENA Development Conference | October 2014 | Orlando, Florida Security Certificates Between i3 ESInet’s and FE’s Nate Wilcox Emergicom, LLC Brian Rosen.
NENA Development Conference | October 2014 | Orlando, Florida Emergency Incident Data Document (EIDD) Transfer Protocols Jerry Schlesinger, PMP – City.
Mark COMMUNICATION Criteria 9-10 Very Good Information, ideas and points of view are presented and explained with confidence. Can narrate events when appropriate.
Learning from Observations Chapter 18 Through
Computer Science: A Structured Programming Approach Using C1 Objectives ❏ To be able to list and describe the six expression categories ❏ To understand.
Next Generation Standards, Transitions and Challenges Brian Rosen Senior Director, Neustar Chair, Long Term Definition WG, NENA.
ICANN MEETING NO. 38 | JUNE 2010 ALSes Survey Analysis Preliminary results ALSes Survey June 2010 EURALO.
(1) Milestone 1 Review Milestone 2 Planning Philip Johnson Collaborative Software Development Laboratory Information and Computer Sciences University of.
Similar Location Extension to LoST Document Authors: Roger Marshall, Jeff Martin, Brian.
NG9-1-1 Core Architecture: i3 v3 TERRY REESE BRIAN ROSEN.
Bridge Meeting Okemah, OK  Meeting 1: Okemah Emergency Management Personnel  3/13/09  Personnel from health department, EMS, city and county.
Sampling in Qualitative and Quantitative Research Unit 4: A practical how-to ‹#› 1.
Paolo Valente - UNECE Statistical Division Slide 1 Technology for census data coding, editing and imputation Paolo Valente (UNECE) UNECE Workshop on Census.
COMPUTATIONAL MODELLING Dr Marina Neophytou University of Cambridge, Department of Engineering Scope: Test the appropriateness and validity of models of.
BOT / GEOG / GEOL 4111 / Field data collection Visiting and characterizing representative sites Used for classification (training data), information.
BRIAN ROSEN HANNES TSCHOFENIG HENNING SCHULZRINNE draft-rosen-ecrit-data-only-ea.
1 Compound Documents: Combining XML Vocabularies.
Implementing an Interstate Mutual Aid/Assistance Program for Water and Wastewater Utilities.
March 2004GEOPRIV - IETF 59 (Seoul)1 GEOPRIV Policy draft-ietf-geopriv-policy draft-ietf-geopriv-common-policy Henning Schulzrinne Columbia University.
World Geography An Introduction. Different Perspectives  Scientists are concerned with process. The focus is on causes and effects that occur regardless.
Public Libraries Survey Data File Overview. 2 What We’ll Talk About PLS: Public Library Survey State level data Public library data (Administrative Entities)
Internet Naming Service: DNS* Chapter 5. The Name Space The name space is the structure of the DNS database –An inverted tree with the root node at the.
PART 1 XML Basics. Slide 2 Why XML Here? You need to understand the basics of XML to do much with Android All of they layout and configuration files are.
INFORMATION AND PROGRESS An analysis of what is happening in the Caribbean with information, decision- making and progress in Education.
Static SDO Proposal Main Points/ Next Steps. Goals of specification Not about the algorithm to generate Static SDOs Instead, about how Static SDOs map.
GIS Project1 Physical Structure of GDB Geodatabase Feature datasets Object classes, subtypes Features classes, subtypes Relationship classes Geometric.
Thoughts on the LMAP protocol(s) LMAP Interim meeting, Dublin, 15 th September 2014 Philip Eardley Al Morton Jason Weil 1.
Telephone Related Queries (TeRQ) draft-peterson-terq-00.
OGP Seabed Survey Data Model (SSDM)
The Future of GIS in the World
How GIS will support Ng911 in Indiana
draft-rosen-nena-ecrit-requirements Brian Rosen
SP Roadmap Identifies “current”, “next”, and possibly “future” releases along with links.
The Calibration Process
ECRIT Architectural Considerations
Issues Mechanisms to discover and validate CAP feeds
Ted Hardie Andrew Newton Henning Schulzrinne Hannes Tschofenig
C.2.12 The student will develop a plan to resolve a state or local problem by researching public policy alternatives, identifying appropriate government.
Validation and Verification
Presentation transcript:

draft-rosen-dns-sos-02 Brian Rosen

The basic idea 123.main.pittsburgh.allegheny.pa.us.sos.arpa contains a NAPTR, sos+psap, of something like As specified, it’s a straight DDDS application All A(n) levels of PIDF-LO must be present (use “.null” if not used in a locale) A combination rule creates the street name and house number fields including prefixes and postfixes Regular DNS delegation rules for components

NAPTRs in the heirarchy PSAP URI Other responder URIs Pointer to polygon list Pointer to XML list of next level down names (facilitates validation error processing) and polygon list creation Pointer to additional information available about this location

Start up Delegate sos.arpa to e.g. ITU Delegate cc.sos.arpa to e.g. NENA or a govt agency – This is sufficient for many countries where there is only one PSAP Delegate state/province.cc.sos.arpa to some state/province agency or just list them – This is sufficient for many countries where there are a small number of PSAPs on regional boundaries Delegate county.state.cc.sos.arpa to the appropriate agencies – This is sufficient for many areas where PSAPs match county boundaries Delegate city.county.state.cc.sos.arpa to the appropriate agency – This is sufficient for many areas where some cities have their own PSAP Fill in street data from existing SAG, where SAG exists

Some problems International names – Use IDN Names can get long – Use consistently applied abbreviations Isn’t XML – Yeah, but it’s simple enough Polygon search requires more work at resolver. – Not ideal, but workable.

Why do this? We know, with a lot of certainty, that it will work when disasters occur We know, with a lot of certainty, what the problems (deployment, scaling, startup, security) are – This not to say that the answers are so obvious The delegation mechanism works for the realistic cases – Simple things (one PSAP per country) is trivial – Complex things (all of three cities, plus several streets, minus a few houses on one street) are possible