[ppt]powerpoint presentationdfk/agents/coabs/posters/mobtie... · web viewjames hendler darpa...

Mobility Mobility TIE TIE Mobility Mobility TIE TIE Mobility Mobility TIE TIE Mobility Mobility TIE TIE Mobility Mobility TIE TIE Mobility Mobility TIE TIE Mobility Mobility TIE TIE Mobility Mobility TIE TIE Mobility Mobility TIE TIE Mobility Mobility TIE TIE Modeling of Mobile Agent Performance Robert Gray, George Cybenko, David Kotz, Guofei Jiang, Ronald A. Peterson, Dennis McGrath Dartmouth College Lessons Learned: • Mobile agents can dramatically reduce total query time when pass ratio is low and bandwidth is low. • Mobile agents can succeed in cases where RPC cannot. Input Data Streams Wireless Bridge Each client needs only a portion of each data stream Filter Scenario * Retrieval Scenario Retrieval API Text Documents Main App Main App VS Retrieval Scenario Simulation Results (server speed is 4 times greater than client speed) AgentFeasible Space,Bandw idth = 10 M b/s 0 0.2 0.4 0.6 0.8 1 0.1 0.9 1.7 2.5 3.3 4.1 4.9 5.7 6.5 7.3 8.1 8.9 9.7 Lambda Pass Ratio RPC Feasible Space,Bandw idth = 10 M b/s 0 0.2 0.4 0.6 0.8 1 0.1 0.9 1.7 2.5 3.3 4.1 4.9 5.7 6.5 7.3 8.1 8.9 9.7 Lambda P ass R atio AgentFeasible Space,Bandw idth = 0.1 M b/s 0 0.2 0.4 0.6 0.8 1 0.1 0.8 1.8 2.8 3.8 4.8 5.8 6.8 7.8 8.8 9.8 Lam bda Pass Ratio *see paper Martin O. Hofmann, Daria A. Chacón, Kenneth R. Whitebread Lockheed Martin James Hendler DARPA RPC Feasible Space,Bandw idth = 0.1 M b/s 0 0.2 0.4 0.6 0.8 1 0.1 0.8 1.8 2.8 3.8 4.8 5.8 6.8 7.8 8.8 9.8 Lam bda Pass Ratio AgentFeasible Space,Bandw idth = 1 M b/s 0 0.2 0.4 0.6 0.8 1 0.1 0.9 1.7 2.6 3.4 4.1 4.9 6.0 7.2 8.4 9.6 Lam bda Pass Ratio RPC Feasible Space,Bandw idth = 1 M b/s 0 0.2 0.4 0.6 0.8 1 0.1 0.9 1.7 2.6 3.4 4.1 4.9 6.0 7.2 8.4 9.6 Lam bda Pass Ratio P erform ance C om parison,B andw idth = 1 M b/s -500% 0% 500% 1000% 1500% 2000% 0 0.2 0.4 0.6 0.8 1 P ass R atio % Difference in TotalQ uery Time Lam bda=0.06667 Lam bda=0.4 Lam bda=.53333 Lam bda=0.6 P erform ance C om parison,B andw idth = 10 M b/s -500% 0% 500% 1000% 1500% 2000% 0 0.2 0.4 0.6 0.8 1 Pass R atio % Difference in TotalQ uery Time Lambda=0.2 Lambda=5.0 Lambda=6.0 Lambda=6.3333 Positive values indicate better performance by agents, negative values indicate better performance by RPC. Dartmouth University of West Florida At 0.1 Mb/s, RPC is infeasible at all points so no comparison is possible. (Contact: David Kotz, [email protected])

Upload: lynhan

Post on 28-Apr-2018

215 views

Category:

Documents

2 download

Report

Download

Embed Size (px):

TRANSCRIPT

Page 1: [PPT]PowerPoint Presentationdfk/agents/CoABS/posters/Mobtie... · Web viewJames Hendler DARPA Filter Scenario * Retrieval Scenario Input Data Streams Text Documents Retrieval API

Mobility TIEMobility TIE Mobility TIEMobility TIEMobility TIEMobility TIE Mobility TIEMobility TIEMobility TIEMobility TIE

Modeling of Mobile AgentPerformance

Robert Gray, George Cybenko, David Kotz, Guofei Jiang, Ronald A. Peterson, Dennis McGrath

Dartmouth College

Lessons Learned: • Mobile agents can dramatically reduce total query time when pass ratio is low and

bandwidth is low.• Mobile agents can succeed in cases where RPC cannot.

Input DataStreams

WirelessBridge

Each client needs only a portion of each data stream

Filter Scenario * Retrieval Scenario

Retrieval API

TextDocuments

MainApp

MainAppVS

Retrieval Scenario Simulation Results (server speed is 4 times greater than client speed)

Agent Feasible Space, Bandwidth = 10 Mb/s

0 0.2 0.4 0.6 0.8 10.1

0.9

1.7

2.5

3.3

4.1

4.9

5.7

6.5

7.3

8.1

8.9

9.7

Lam

bda

Pass Ratio

RPC Feasible Space, Bandwidth = 10 Mb/s

0 0.2 0.4 0.6 0.8 1

0.10.91.72.53.34.14.95.76.57.38.18.99.7

Lam

bda

Pass Ratio

Agent Feasible Space, Bandwidth = 0.1 Mb/s

0 0.2 0.4 0.6 0.8 10.1

0.8

1.8

2.8

3.8

4.8

5.8

6.8

7.8

8.8

9.8

Lam

bda

Pass Ratio

*see paper

Martin O. Hofmann, Daria A. Chacón, Kenneth R. Whitebread

Lockheed Martin

James Hendler

DARPA

RPC Feasible Space, Bandwidth = 0.1 Mb/s

0 0.2 0.4 0.6 0.8 10.1

0.8

1.8

2.8

3.8

4.8

5.8

6.8

7.8

8.8

9.8

Lam

bda

Pass Ratio

Agent Feasible Space, Bandwidth = 1 Mb/s

0 0.2 0.4 0.6 0.8 10.1

0.9

1.7

2.6

3.4

4.1

4.9

6.0

7.2

8.4

9.6

Lam

bda

Pass Ratio

RPC Feasible Space, Bandwidth = 1 Mb/s

0 0.2 0.4 0.6 0.8 10.1

0.9

1.7

2.6

3.4

4.1

4.9

6.0

7.2

8.4

9.6

Lam

bda

Pass Ratio

Performance Comparison, Bandwidth = 1 Mb/s

-500%

500%

1000%

1500%

2000%

0 0.2 0.4 0.6 0.8 1

Pass Ratio

% D

iffer

ence

in T

otal

Que

Tim

Lambda=0.06667

Lambda=0.4

Lambda=.53333

Lambda=0.6

Performance Comparison, Bandwidth = 10 Mb/s

-500%

500%

1000%

1500%

2000%

0 0.2 0.4 0.6 0.8 1

Pass Ratio

% D

iffer

ence

in T

otal

Que

Tim

Lambda=0.2Lambda=5.0Lambda=6.0Lambda=6.3333

Positive valuesindicate better performance by agents, negative values indicate better performance by RPC.

Dartmouth

University of West Florida

At 0.1 Mb/s, RPC is infeasible at all points so no comparison is possible.

(Contact: David Kotz, [email protected])

Information Retrieval Language ModelInformation Retrieval INFO 4300 / CS 4300 ! Retrieval models – Older models » Boolean retrieval » Vector Space model – Probabilistic Models

DARPA CoABS Project: NEO TIEs March 11, 1999 briefing Onn Shehory Carnegie Mellon University NEO TIEs coordinator: Katia Sycara

DARPA CoABS Grid (GITI, ISX) Coalition Agents eXperiment - CoAX DARPA CoABS, AFRL, BBN, Boeing, DSTL, DREV, DSTO, Dartmouth, Edinburgh/AIAI, LM-ATL, OBJS,

1)grids.ucs.indiana.edu/ptliupages/publications/gaprefs.doc · Web view[CoABS-A] CoABS Grid from [CoABS-B] [CoABS-B] Darpa Control of Agent-based Systems CoABS program [CoAKTinG]

CoAX - Coalition TIE Briefing DARPA CoABS PI Meeting

Application Impact of Multiagent Systems and Technologies ...winf.in.tu-clausthal.de/winf/publications/2014/MuellerFischer2014aose.pdf · to KQML) and CoABS ( Control of Agent Based

Introduction to Information Retrieval - cis.csuohio.educis.csuohio.edu/~sschung/cis612/Lecture_Intro_IR_PhrasePositioning.pdf · Information Retrieval • Information Retrieval (IR)

98 625-CD-520-001 ASTER Scenario: Backward Chaining INSERTION RETRIEVAL PRODUCTION Subscribe Search & Order Store External Data Provider User Deliver Generate

Street-to-shop: Cross-scenario clothing retrieval via ...liusi-group.com/pdf/Street-to-shop Cross-scenario... · less cocktail dress”. In this paper, we consider a more interesting

LA TROBE EBUREAU · Scenario A 21 Scenario B 22 Scenario C 23 Scenario D 24 Scenario E

Medical Digital Library to Support Scenario Specific Information Retrieval

Retrieval Model Overview Boolean Retrieval Retrieval INFO 4300 / CS 4300 ! Retrieval models – Older models » Boolean retrieval » Vector Space model – Probabilistic Models »

Social Media and Information Retrieval : A case study in Disaster ...srijith/sina/IITHyderabad-Dec-17-talk.pdf · Situational tweets (SA) ... cross-domain scenario Pre-processing

Modern Information Retrieval Chapter 3 Retrieval Evaluation

WMES3103 INFORMATION RETRIEVAL WEEK 1 AND 2. WHAT IS INFORMATION RETRIEVAL? Information Retrieval – IR Information Retrieval – IR Information Information

Information Systems Office Jim Hendler - Site Directory CoABS Grid “ Architecture” CORBA Wrapper CORBA Object Additional Common Services CoABS Components Registry-white pages-uses

Media Retrieval Information Retrieval Image Retrieval Video Retrieval Audio Retrieval Information Retrieval Image Retrieval Video Retrieval Audio Retrieval

Anahita Alipour - University of Albertawebdocs.cs.ualberta.ca/~hindle1/2014/anahita-alipour... · 2014. 3. 4. · 4.6 An example of bug report retrieval scenario for a duplicate bug

ISO CoABS Hendler - Defense Advanced Research …archive.darpa.mil/.../Presentations/isopdf/isocoabs.pdf5HDO WLPH SURFHVVLQJ 3URMHFWLRQ SODQQLQJ,QSXW W 2XWSXW W AUTONOMOUS SOFTWARE

Introduction to Information Retrieval XML Retrieval

€¦ · CS-590I Information Retrieval Retrieval Models Luo Si Department of Computer Science Purdue University ˘ˇ Retrieval Models Exact-match retrieval method

Introduction to Information Retrieval Information Retrieval Models

Medical Digital Library to Support Scenario Specific Information Retrieval Wesley W. [email protected] Computer Science Department University of California

Content-Based Image Retrieval Rong Jin. Content-based Image Retrieval Retrieval by text Label database images by text tags Image retrieval as text retrieval

MMI: Multi Mini Interviews. Scenario 1 Scenario 2 Scenario 3

CoAX - Coalition TIE Briefing DARPA CoABS PI Meeting AFRL Rome, AIAI, Boeing, Dartmouth, DERA Malvern, Lockheed Martin ATL, Michigan, MIT Sloan, Stanford,

CoABS Grid Military Users Group (GMUG) for the SWMU Tom Martin November 13, 2001 for LCDR Dylan Schmorrow CoABS Program Manager [email protected]

Architectural concerns in distributed and mobile …...case study scenario (meta-data retrieval, expert search, information sharing, notiﬁcations) and refer to a system having successfully

Leveraging colour segmentation for upper-body detectionaction, image indexation and retrieval, and advanced driver assistance systems. According to the scenario of interest as well

WXGB6106 INFORMATION RETRIEVAL Week 3 RETRIEVAL EVALUATION

DATA SCIENCE CURRICULUM: CURRENT SCENARIO · 2020-06-03 · Data Science, Information Retrieval, Curricula, Master’s Programs, DS curriculum. 1. INTRODUCTION Data science (DS) is

Introduction to Information Retrieval - Stanford University...Introduction to Information Retrieval Introduction to Information Retrieval CS276: Information Retrieval and Web Search

Information Retrieval: Retrieval Models...Retrieval Models: Unranked Boolean WestLaw system: Commercial Legal/Health/Finance Information Retrieval System zLogical operators zProximity