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Travelled to:
1 × Germany
1 × United Kingdom
6 × USA
Collaborated with:
G.Juve C.Kesselman G.Singh G.Mehta R.Bagrodia S.Docy T.Phan S.Koranda K.Vahi A.Lazzarini K.Blackburn L.Meshkat L.Pearlman P.Ehrens R.Williams V.S.Kumar P.Sadayappan V.Ratnakar J.Kim Y.Gil M.W.Hall T.M.Kurç J.H.Saltz M.Su G.B.Berriman J.Good J.C.Jacob D.S.Katz I.T.Foster J.Gieraltowski S.Gose N.Maltsev E.N.May A.Rodriguez D.Sulakhe A.Vaniachine J.Shank S.Youssef D.Adams R.Baker W.Deng J.Smith D.Yu I.Legrand S.Singh C.Steenberg Y.Xia M.A.Afaq E.Berman J.Annis L.A.T.Bauerdick M.Ernst I.Fisk L.Giacchetti G.E.Graham A.Heavey J.Kaiser N.Kuropatkin R.Pordes V.Sekhri J.Weigand Y.Wu K.Baker L.Sorrillo J.Huth M.Allen L.Grundhoefer J.Hicks F.Luehring S.Peck R.Quick S.C.Simms G.Fekete J.vandenBerg K.Cho K.Kwon D.Son H.Park S.Canon K.R.Jackson D.E.Konerding J.Lee D.Olson I.Sakrejda B.Tierney M.Green R.Miller J.Letts T.Martin D.Bury C.Dumitrescu D.Engh R.Gardner M.Mambelli Y.Smirnov J.Vöckler M.Wilde Y.Zhao X.Zhao P.Avery R.Cavanaugh B.Kim C.Prescott J.L.Rodriguez A.Zahn S.McKee C.T.Jordan J.E.Prewett T.L.Thomas H.Severini B.Clifford L.Flon N.Olomu K.De P.McGuigan M.Sosebee D.Bradley P.Couvares A.DeSmet C.Kireyev E.Paulson A.Roy B.Moe B.Brown P.Sheldon
Talks about:
grid (5) comput (4) perform (3) parallel (2) virtual (2) scienc (2) provis (2) optim (2) base (2) comparison (1)

Person: Ewa Deelman

DBLP DBLP: Deelman:Ewa

Contributed to:

HPDC 20152015
HPDC 20112011
HPDC 20092009
HPDC 20072007
SAC 20052005
HPDC 20042004
HPDC 20022002
PPoPP 19991999

Wrote 8 papers:

HPDC-2015-Deelman
High Impact Computing: Computing for Science and the Science of Computing (ED), p. 119.
HPDC-2011-JuveD #clustering #named
Wrangler: virtual cluster provisioning for the cloud (GJ, ED), pp. 277–278.
HPDC-2009-KumarSMVDRKGHKS #framework #optimisation #workflow
An integrated framework for performance-based optimization of scientific workflows (VSK, PS, GM, KV, ED, VR, JK, YG, MWH, TMK, JHS), pp. 177–186.
HPDC-2007-SinghKD #comparison #optimisation
A provisioning model and its comparison with best-effort for performance-cost optimization in grids (GS, CK, ED), pp. 117–126.
SAC-2005-SinghDMVSBGJKLBK #grid #web
The Pegasus portal: web based grid computing (GS, ED, GM, KV, MHS, GBB, JG, JCJ, DSK, AL, KB, SK), pp. 680–686.
HPDC-2004-FosterGG #grid
The Grid2003 Production Grid: Principles and Practice (ITF, JG, SG, NM, ENM, AR, DS, AV, JS, SY, DA, RB, WD, JS, DY, IL, SS, CS, YX, MAA, EB, JA, LATB, ME, IF, LG, GEG, AH, JK, NK, RP, VS, JW, YW, KB, LS, JH, MA, LG, JH, FL, SP, RQ, SCS, GF, Jv, KC, KK, DS, HP, SC, KRJ, DEK, JL, DO, IS, BT, MG, RM, JL, TM, DB, CD, DE, RG, MM, YS, JSV, MW, YZ, XZ, PA, RC, BK, CP, JLR, AZ, SM, CTJ, JEP, TLT, HS, BC, ED, LF, CK, GM, NO, KV, KD, PM, MS, DB, PC, AD, CK, EP, AR, SK, BM, BB, PS), pp. 236–245.
HPDC-2002-DeelmanKMMPBELWK #grid
GriPhyN and LIGO, Building a Virtual Data Grid for Gravitational Wave Scientists (ED, CK, GM, LM, LP, KB, PE, AL, RW, SK), p. 225–?.
PPoPP-1999-BagrodiaDDP #parallel #performance #predict #scalability #simulation #using
Performance Prediction of Large Parallel Applications using Parallel Simulations (RB, ED, SD, TP), pp. 151–162.

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