PrimoGENI Tutorial Miguel Erazo, Neil Goldman, Nathanael Van Vorst, and Jason Liu Florida International University Other project participants: Julio Ibarra.

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Presentation transcript:

PrimoGENI Tutorial Miguel Erazo, Neil Goldman, Nathanael Van Vorst, and Jason Liu Florida International University Other project participants: Julio Ibarra and Heidi Alvarez

Outline Introduction Setup (in parallel) Demo and hands-on

PlanetLab

In vitro experimentation Life traffic and conditions Sharing via virtualization

PlanetLab Limited size? – 1090 nodes at 516 sites (3/12/11) Heavy use? – Limited availability? – Accuracy? One instance of Internet – Limited control – Sampling bias?

Sharing via OS Swapping Traffic shaping Emulation Limited size? Heavy use: Limited availability? Limited emulation scenarios?

Simulation

Enable hybrid network experiments on GENI Including simulated, emulated, and physical components Simulation: Network experiment at scale Modeling abstraction Flexibility Emulation Real execution environment Resource multiplexing Physical testbeds Real traffic interaction

PrimoGENI is a GENI Aggregate

Physical Resource Layer Meta Resource Layer OpenVZ Kernel VM 0 VM 1 VM 2 OpenVZ Kernel VM 0 VM 1 VM 2 OpenVZ Kernel VM 0 VM 1 VM 2 OpenVZ Kernel VM 0 VM 1 VM 2 OpenVZ Kernel VM 0 VM 2 VM 3 VM 1 OpenVZ Kernel VM 0 VM 2 VM 3 VM 1 OpenVZ Kernel VM 0 VM 2 VM 1

Physical Resource Layer Meta Resource Layer OpenVZ Kernel VM 0 VM 1 VM 2 OpenVZ Kernel VM 0 VM 1 VM 2 OpenVZ Kernel VM 0 VM 1 VM 2 OpenVZ Kernel VM 0 VM 1 VM 2 OpenVZ Kernel VM 0 VM 2 VM 3 VM 1 OpenVZ Kernel VM 0 VM 2 VM 3 VM 1 OpenVZ Kernel VM 0 VM 2 VM 1 Simulation and Emulation Execution Layer S S S S S S S S S S S S E E E E E E E E E E E E E E

Physical Resource Layer Meta Resource Layer Simulation and Emulation Execution Layer S S S S S S S S S S S S E E E E E E E E E E E E E E Experiment Layer

Manage the entire ``life cycle'' of a large-scale network experiment, including model configuration, resource specification, experiment deployment, execution, online monitoring and steering, inspection, visualization, data collection and analysis.

Java Model Java Model Python Model XML Model XML Model DBMS In-Memory Model (JAVA) In-Memory Model (JAVA) Network Visualization Interactive Console Execution Model Execution Model Compilation Model Compilation Model Partitioning Model Partitioning

Step 1: Setup Install slingshot on client machine Obtain user account on emulab (with primogeni) Upload SSH public key (for remote access) Generate and download SSL certificate

Step 2: Create Model One can: – Import Java, Python, XML models – Use network model generators – Use existing models from database – Interactively modify models using slingshot GUI/console – Set up simulation and emulation traffic

Step 3: Run Experiment Set up primogeni environment in slingshot – Enter SSL certificate and pass phrase; select resources Compile model – Automatic address assignment – Compute static routing Run Experiment – Partition model in slingshot – Update software on VMs (tuf, yum, …) – Start VMs, launch simulator, run emulation commands Master Meta-controller Slave Meta-controller

Step 4: Online Monitor Inspect network runtime state updates – NIC queue size, packet/bytes in and out Network heat map: traffic intensity Live graph: time series data Log onto virtual hosts

Demo and hands-on session