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GENI Experiment Workflows: Overview

1) Types of GENI Experiment Workflows

a) From simple to complex

b) From short-term to long-term

c) Covers actual experiments, tutorials, and "reference experiments"

2) Ranges of GENI Experiments

There will be a wide range of GENI experiment workflows, with different characteristics, including these:

a) Student solves a class problem

b) Student executes an on-line tutorial, or follows a reference experiment

c) Researcher evaluates an algorithm or concept

d) Researcher evaluates the performance of a configuration

e) Researcher gathers the results of one or more experiments, and writes a paper

f) Researcher gathers the results of many experiments, and writes a thesis

g) Experimenter prototypes a service, without opt-in users

h) Experimenter prototypes a service, with opt-in users

i) Experimenter demonstrates a service to selected opt-in users

j) Experimenter offers a service to many opt-in users for a long period of time

k) Operator evaluates representative GENI slice performance, such as networking performance, to troubleshoot problems

l) Operator evaluates representative GENI slice performance, such as networking performance, over an extended period of time, and shares their data with others


1) Goals (Jeanne)

a) Basic GENI test/tutorial/experiment workflow with standardized, self-contained steps

b) Because self-contained, allows for all the variations in flow that occur in a real experiment: repeating steps (e.g., many runs); re-ordering steps (e.g., analyzing much later); skipping steps (e.g., do not archive)

c) Because standardized and self-contained, makes it easier to design tools, by being able to focus on tools for each step, and then connections (interfaces) between steps.

d) Because standardized, makes it it easier for the user to understand a tutorial, since all will follow the same outline.

2) High-level look at workflow (Jeanne)


3) Review of detailed workflow (Harry)


4) Current mapping between tools and steps (Jeanne)


5) Discussion (all)

a) Can we agree on these standardized, self-contained steps? what changes or additions?

b) Issue: variations with type of users (novice to expert) and thus interfaces (graphical to script); can these be mixed?

c) Issue: variations between InstaGENI and ExoGENI, between GIMI and GEMINI; is there a common set?

d) Issue: variations from this basic workflow, to more-specialized workflows; which should be considered?

e) Next steps?


workflow text

related storyboard

Currently being used by GIMI and GEMINI I&M projects.

See GIMI GEC15 tutorial that follows these steps.

See slides from Experiment Lifecycle Tools session at GEC15.

p4 for configuration

p21 for mapping of tools to steps

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