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Roger S. Barga
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- affiliation: Amazon Web Services, Seattle, WA, USA
- affiliation: Microsoft Research, Redmond, WA, USA
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2010 – 2019
- 2019
- [e3]Chaitanya K. Baru, Jun Huan, Latifur Khan, Xiaohua Hu, Ronay Ak, Yuanyuan Tian, Roger S. Barga, Carlo Zaniolo, Kisung Lee, Yanfang (Fanny) Ye:
2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019. IEEE 2019, ISBN 978-1-7281-0858-2 [contents] - 2017
- [j16]Dennis Gannon, Roger S. Barga, Neel Sundaresan:
Cloud-Native Applications. IEEE Cloud Comput. 4(5): 16-21 (2017) - [j15]Dennis Gannon, Roger S. Barga, Neel Sundaresan, Sebastien Goasguen, Niklas Gustaffson, Cornelia Davis, Balan Subramanian, Dan Kohn:
An Asynchronous Panel Discussion: What Are Cloud-Native Applications? IEEE Cloud Comput. 4(5): 50-54 (2017) - 2016
- [j14]Clemens A. Szyperski
, Martin Petitclerc, Roger S. Barga:
Three Experts on Big Data Engineering. IEEE Softw. 33(2): 68-72 (2016) - [c38]Roger S. Barga:
Processing Big Data in Motion. IC2E 2016: 171 - 2015
- [b1]Roger S. Barga, Valentine Fontama, Wee Hyong Tok:
Predictive Analytics with Microsoft Azure Machine Learning - Build and Deploy Actionalbe Solutions in Minutes, Second Edition. Apress 2015, ISBN 978-1-484212-01-1, pp. I-XXIII, 1-291 - 2012
- [c37]Roger S. Barga, Jaliya Ekanayake, Wei Lu:
Project Daytona: Data Analytics as a Cloud Service. ICDE 2012: 1317-1320 - [e2]Roger S. Barga, Hanspeter Pfister, David H. Rogers:
IEEE Symposium on Large Data Analysis and Visualization, LDAV 2012, Seattle, Washington, USA, 14-15 October, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-4732-7 [contents] - 2011
- [j13]Yogesh Simmhan
Analysis of approaches for supporting the Open Provenance Model: A case study of the Trident workflow workbench. Future Gener. Comput. Syst. 27(6): 790-796 (2011) - [j12]Roger S. Barga, Dennis Gannon, Daniel A. Reed:
The Client and the Cloud: Democratizing Research Computing. IEEE Internet Comput. 15(1): 72-75 (2011) - [c36]Jaliya Ekanayake, Jared Jackson, Wei Lu, Roger S. Barga, Atilla Soner Balkir:
A Scalable Communication Runtime for Clouds. IEEE CLOUD 2011: 211-218 - [c35]Badrish Chandramouli, Jonathan Goldstein, Roger S. Barga, Mirek Riedewald, Ivo Santos:
Accurate latency estimation in a distributed event processing system. ICDE 2011: 255-266 - [c34]Ankur Dave, Wei Lu, Jared Jackson, Roger S. Barga:
CloudClustering: Toward an Iterative Data Processing Pattern on the Cloud. IPDPS Workshops 2011: 1132-1137 - 2010
- [j11]Roger S. Barga, Yogesh L. Simmhan, Eran Chinthaka, Satya Sanket Sahoo, Jared Jackson, Nelson Araujo:
Provenance for Scientific Workflows Towards Reproducible Research. IEEE Data Eng. Bull. 33(3): 50-58 (2010) - [c33]Wei Lu, Jared Jackson, Jaliya Ekanayake, Roger S. Barga, Nelson Araujo:
Performing Large Science Experiments on Azure: Pitfalls and Solutions. CloudCom 2010: 209-217 - [c32]Wei Lu, Jared Jackson, Roger S. Barga:
AzureBlast: a case study of developing science applications on the cloud. HPDC 2010: 413-420 - [c31]Eran Chinthaka Withana, Beth Plale
Versioning for workflow evolution. HPDC 2010: 756-765 - [c30]Roger S. Barga:
Emerging Trends and Converging Technologies in Data Intensive Scalable Computing. SSDBM 2010: 4-5 - [c29]Keith Grochow, Bill Howe
Client + Cloud: Evaluating Seamless Architectures for Visual Data Analytics in the Ocean Sciences. SSDBM 2010: 114-131 - [p4]Tony Hey, Roger S. Barga, Savas Parastatidis:
Research Platforms in the Cloud. World Wide Research 2010: 67-71
2000 – 2009
- 2009
- [j10]Roger S. Barga, Jose Bernabeu-Auban, Dennis Gannon, Christophe Poulain:
Cloud computing architecture and application programming: DISC'09 tutorial, half day, Sept. 22nd 2009. SIGACT News 40(2): 94-95 (2009) - [c28]Yogesh Simmhan
Building Reliable Data Pipelines for Managing Community Data Using Scientific Workflows. eScience 2009: 321-328 - [c27]Jaliya Ekanayake, Thilina Gunarathne, Geoffrey C. Fox, Atilla Soner Balkir, Christophe Poulain, Nelson Araujo, Roger S. Barga:
DryadLINQ for Scientific Analyses. eScience 2009: 329-336 - [c26]Yogesh Simmhan
GrayWulf: Scalable Software Architecture for Data Intensive Computing. HICSS 2009: 1-10 - [c25]Xiaohong Qiu, Jaliya Ekanayake, Scott Beason, Thilina Gunarathne, Geoffrey C. Fox, Roger S. Barga, Dennis Gannon:
Cloud technologies for bioinformatics applications. SC-MTAGS 2009 - [p3]John R. Delaney, Roger S. Barga:
A 2020 vision for ocean science. The Fourth Paradigm 2009: 27-38 - 2008
- [j9]Luc Moreau
Special Issue: The First Provenance Challenge. Concurr. Comput. Pract. Exp. 20(5): 409-418 (2008) - [j8]Roger S. Barga, Luciano A. Digiampietri
Automatic capture and efficient storage of e-Science experiment provenance. Concurr. Comput. Pract. Exp. 20(5): 419-429 (2008) - [j7]Qinyi Wu, Calton Pu, Akhil Sahai, Roger S. Barga:
DsCWeaver: Synchronization-Constraint Aspect Extension to Procedural Process Specification Languages. Int. J. Web Serv. Res. 5(3): 96-117 (2008) - [c24]Roger S. Barga, Dan Fay, Dean Guo, Steven J. Newhouse, Yogesh L. Simmhan
Efficient scheduling of scientific workflows in a high performance computing cluster. CLADE 2008: 63-68 - [c23]Roger S. Barga, Jared Jackson, Nelson Araujo, Dean Guo, Nitin Gautam, Yogesh Simmhan
The Trident Scientific Workflow Workbench. eScience 2008: 317-318 - [c22]Yogesh Simmhan
On Building Scientific Workflow Systems for Data Management in the Cloud. eScience 2008: 434-435 - [c21]Matthew D. Valerio, Satya Sanket Sahoo
Capturing Workflow Event Data for Monitoring, Performance Analysis, and Management of Scientific Workflows. eScience 2008: 626-633 - [c20]Roger S. Barga, Jared Jackson, Nelson Araujo, Dean Guo, Nitin Gautam, Keith Grochow, Edward D. Lazowska
Trident: Scientific Workflow Workbench for Oceanography. SERVICES I 2008: 465-466 - 2007
- [c19]Roger S. Barga, Jonathan Goldstein, Mohamed H. Ali, Mingsheng Hong:
Consistent Streaming Through Time: A Vision for Event Stream Processing. CIDR 2007: 363-374 - [c18]Qinyi Wu, Calton Pu, Akhil Sahai, Roger S. Barga:
Categorization and Optimization of Synchronization Dependencies in Business Processes. ICDE 2007: 306-315 - [p2]Roger S. Barga, Dennis Gannon:
Scientific versus Business Workflows. Workflows for e-Science, Scientific Workflows for Grids 2007: 9-16 - 2006
- [j6]Brian F. Cooper, Roger S. Barga:
Report on SciFlow 2006: the IEEE international workshop on workflow and data flow for scientific applications. SIGMOD Rec. 35(3): 54-56 (2006) - [c17]Roger S. Barga, Hillary Caituiro-Monge:
Event Correlation and Pattern Detection in CEDR. EDBT Workshops 2006: 919-930 - [c16]Roger S. Barga, Gueorgui Chkodrov:
Coping with Variable Latency and Disorder in Distributed Event Streams. ICDCS Workshops 2006: 33 - [c15]David B. Lomet, Roger S. Barga, Mohamed F. Mokbel, German Shegalov, Rui Wang, Yunyue Zhu:
Transaction Time Support Inside a Database Engine. ICDE 2006: 35 - [c14]Qinyi Wu, Calton Pu, Akhil Sahai, Roger S. Barga, Gueyoung Jung:
DSCWeaver: Synchronization-Constraint Aspect Extension to Procedural Process Specification Languages. ICWS 2006: 320-330 - [c13]Roger S. Barga, Luciano A. Digiampietri
Automatic Generation of Workflow Provenance. IPAW 2006: 1-9 - [c12]David B. Lomet, Zografoula Vagena, Roger S. Barga:
Recovery from "bad" user transactions. SIGMOD Conference 2006: 337-346 - [e1]Roger S. Barga, Xiaofang Zhou:
Proceedings of the 22nd International Conference on Data Engineering Workshops, ICDE 2006, 3-7 April 2006, Atlanta, GA, USA. IEEE Computer Society 2006, ISBN 0-7695-2571-7 [contents] - [i1]Roger S. Barga, Jonathan Goldstein, Mohamed H. Ali, Mingsheng Hong:
Consistent Streaming Through Time: A Vision for Event Stream Processing. CoRR abs/cs/0612115 (2006) - 2005
- [c11]David B. Lomet, Roger S. Barga, Mohamed F. Mokbel, German Shegalov, Rui Wang, Yunyue Zhu:
Immortal DB: transaction time support for SQL server. SIGMOD Conference 2005: 939-941 - 2004
- [j5]Roger S. Barga, David B. Lomet, German Shegalov, Gerhard Weikum:
Recovery guarantees for Internet applications. ACM Trans. Internet Techn. 4(3): 289-328 (2004) - [c10]Roger S. Barga, Shimin Chen, David B. Lomet:
Improving Logging and Recovery Performance in Phoenix/App. ICDE 2004: 486-497 - [c9]Roger S. Barga, Jing Shan:
Flexible Coordination of E-Services. TES 2004: 69-79 - 2003
- [c8]Roger S. Barga, David B. Lomet, Stelios Paparizos, Haifeng Yu, Sirish Chandrasekaran:
Persistent Applications via Automatic Recovery. IDEAS 2003: 258-267 - 2002
- [j4]Roger S. Barga:
Phoenix Application Recovery Project. IEEE Data Eng. Bull. 25(4): 27-31 (2002) - [j3]Roger S. Barga, David B. Lomet:
Phoenix Project: Fault-Tolerant Applications. SIGMOD Rec. 31(2): 94-100 (2002) - [c7]Roger S. Barga, David B. Lomet, Gerhard Weikum:
Recovery Guarantees for General Multi-Tier Applications. ICDE 2002: 543-554 - [c6]German Shegalov, Gerhard Weikum, Roger S. Barga, David B. Lomet:
EOS: Exactly-Once E-Service Middleware. VLDB 2002: 1043-1046 - 2001
- [c5]Roger S. Barga, David B. Lomet:
Measuring and Optimizing a System for Persistent Database Sessions. ICDE 2001: 21-30 - 2000
- [c4]Roger S. Barga, David B. Lomet, Thomas Baby, Sanjay Agrawal:
Persistent Client-Server Database Sessions. EDBT 2000: 462-477
1990 – 1999
- 1999
- [c3]Roger S. Barga, David B. Lomet:
Phoenix: Making Applications Robust. SIGMOD Conference 1999: 562-564 - 1998
- [j2]David B. Lomet, Roger S. Barga, Surajit Chaudhuri, Per-Åke Larson, Vivek R. Narasayya:
The Microsoft Database Research Group. SIGMOD Rec. 27(3): 81-85 (1998) - 1997
- [p1]Roger S. Barga, Calton Pu:
The Reflective Transaction Framework. Advanced Transaction Models and Architectures 1997 - 1996
- [c2]Ling Liu, Calton Pu, Roger S. Barga, Tong Zhou:
Differential Evaluation of Continual Queries. ICDCS 1996: 458-465 - 1995
- [c1]Roger S. Barga, Calton Pu:
A Practical and Modular Implementation of Extended Transaction Models. VLDB 1995: 206-217 - 1993
- [j1]Roger S. Barga, Calton Pu:
Accessing Imprecise Data: An Approach Based on Intervals. IEEE Data Eng. Bull. 16(2): 12-15 (1993)
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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