Rick McGeer Chief Scientist, US IGNITE October 28, 2013

Making GENI Simple for Simple Things: The GENI Experiment Engine Rick McGeer, Chief Scientist, US IGNITE

GENI Experiment Lifecycle 3

GEE Experiment Lifecycle 4

Analog in Commercial World: EC2 vs Google App Engine EC2: –Create VM(s) –Install and configure software –Deploy… Google App Engine –Write program –Upload Not magic! –When you need a VM, you need a VM… –Google App Engine is simple because it makes most decisions for you… 5

TransGeo: A Model TransCloud Application Scalable, Ubiquitous Geographic Information System Open and Public –Anyone can contribute layers –Anyone can host computation Why GIS? –Large and active community –Characterized by large data sets (mostly satellite images) –Much open-source easily deployable software, standard data formats –Computation naturally partitions and is loosely-coupled –Collaborations across geographic regions and continents –Very pretty… 6

TransGeo Sites (May 2013) 7

TransGeo Architecture 8

Opening up TransGEO: The GENI Experiment Engine Key Idea: Genericize and make available the infrastructure behind the TransGEO demo –Open to every GENI, FIRE, JGN-X,…experimenter who wants to use it TransGEO is a trivial application on a generic infrastructure –Perhaps 1000 lines of Python code on top of Key-Value Store Layer 2 network Sandboxed Python programming environment Messaging Service Deployment Service GIS Libraries 9

GENI Experiment Engine McGeer, Mambretti, Bavier, Coady, Permanent, Long-Running, Distributed File System Permanent, Long-Running, GENI-wide Message Service Permanent, Long-Running, Distributed Python Environment Permanent, world-wide Layer-2 VLANs on high-performance networks All offered in slices All shared by many experimenters Model: Google App Engine Advantage for GENI: Efficient use of resources Advantage for Experimenters: Up and running in no time 10

GENI Experiment Engine Architecture 11

Staged Rollout Permanent Layer-2 Network Summer 2013 Shared Fole System based on (Swift) Summer 2013 First Python Users Fall 2013 Shared Python environment Summer