sadna – ad auction session #2 yishay mansour mariano schain

SADNA – Ad Auction

Session #2

Yishay MansourMariano Schain

Last Week:Overview and Theoretical Background

Today:Software Infrastructure

•System Elements (Reminder)

•Agent Execution

• Software Architecture

• A Sample Agent

Reminder

System ElementsUser

Publisher/Auctioneer

Query

Advertiser

Auction

Impression Page ViewClick Conversion

Bid, Ad, Limit

Query Reports

Sales Reports

3

32a

2b

2c

1

Execution• Server

– Manages agents– Schedules games – Simulates Users and Publisher– Sends reports to agents– Publish simulation logs

• Agent (Client)– Register at server web page– Joins games– Implements Advertiser– Sends bids to server– May use logs to learn

Server

Agent

Agent

Agent

WebBrowser

RegistrationGame ViewerLogs Access

Game

Agent Execution - Steps

1. Files and Directories• config• lib• logs

2. Agent Configuration File• Name and Password• Server name• Auto join• Logging levels

3. Register Agent At Server • http://server:8080• Name And Password

4. Run Jar• run-agent.sh• Or… from IDE (e.g. eclipse)• Or… java -server -cp $CLASSPATH

edu.umich.eecs.tac.aa.agentware.Main

Agent Execution - Demo

• Setup IDE (Eclipse)

• Run Agent from IDE

• Server: Game Viewer

• Post game: Log Viewer

Software Architecture - Motivation• Modeling:

– User populations dynamics– Competing Advertisers strategy– cpc and #Impressions for a given (bid, query)– Note: Bursts

• Estimation– Click and Conversion rates– Profit and #sales for a given bid bundle– Note: Promoted Slots

• Optimization– Find bid bundle that maximizes profits– Next day, Until end of game– Note: Capacity Window

Agent Software ArchitectureModel

competitors

users

Estimation

clickRate

convRate

Optimization

singleDay multiDay

Control

Game instance parameters:Capacity, Specialty

Daily Reports:Server, Self

Profit, Sales (bids, day, used_capacity)

Bid

singleGame

multiGame

Optimal Bid (cap,#s)

Train (Past Games)

Cpc, Position (q,bid)

Cpc, #Impr, Pos (q,bid)

#Conv #Click #Impr (query, bid, ad, limit, day, used_capacity)

Agent Software Architecture

Agent

TauAgent

AgentComponent

Optimizer

IAgent

IAgentComponent

IOptimizer

YourOptimizer

TauAgent

YourOptimizer

YourEstimator

YourModeler

Class Diagram Object Diagram

Agent Software ArchitectureConfiguration

• All configuration files in config directory• Top level configuration:

– Name and password, logging, etc’

• Architecture configuration– Name of class implementing each component – Name of config file for each component

• Component configuration file– Any specific parameters (e.g. algorithm constants)– Accessed using the ConfigManager class interface

(implemented by the aaConfig member of AgentComponent)

Agent Software ArchitectureTraining

LogHandler

TauTrainer TauParser

YourParser

TauTrainer

YourParser

Class Diagram Object Diagram

• Logs contain ALL messages to/from server to/from ALL agents!!• LogHandler called by logtool.Main• Single/Multiple simulation log files (sim.slg)• YourParser updates component database (to be used at game)• Reset/Incremental training

Parser

Sample Agent• Illustrate usage of interfaces

– Passing server messages– Configuration parameters

• Almost trivial Modeler and Estimator– Simple daily update of parameters’ estimate

based on past day results

• Optimizer:– Capacity quota: based on capacity window

usage level– Quota fractionally allocated to queries based on

past performance (profits per unit sold)

Create Your Own Agent - Steps

1. Files and Directories• Start with sample agent• Update config files:

• arch.conf• Component config files

2. Implement your own Components

• Replace: SampleModeler, SampleEstimator, SampleOptimizer

• Stick to Interfaces

3. Compete and Analyze • Dummies are Dummies..• Use log viewer• Train using game logs from

server

4. Repeat..

Sample Agent - Demo• Arrange files and populate IDE

– src, lib, config– Create IDE project

• Update configuration files

• Configure execution– Run/debug, Main, etc’

• Run Agent– Fetch simulation logs

Appendix: Run your own Server

1. Files and Directories• lib• Config• logs

2. Server Configuration Files• server.conf: Admin Password,

Ports, Logging levels• Name of game settings

configuration• Game_settings.conf

3. runserver.sh

4. Register Agents At Server