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: Deelman:Ewa
Contributed to:
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.