Awan: Locality-Aware Resource Manager for Geo-Distributed Data-Intensive Applications

2016 IEEE International Conference on Cloud Engineering (IC2E) ◽

10.1109/ic2e.2016.15 ◽

2016 ◽

Cited By ~ 6

Author(s):

Albert Jonathan ◽

Abhishek Chandra ◽

Jon Weissman

Keyword(s):

Distributed Data ◽

Resource Manager ◽

Data Intensive ◽

Data Intensive Applications

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On the Benefits of Multipath Routing for Distributed Data-Intensive Applications with High Bandwidth Requirements and Multidomain Reach

2009 Seventh Annual Communication Networks and Services Research Conference ◽

10.1109/cnsr.2009.26 ◽

2009 ◽

Cited By ~ 11

Author(s):

Xiaomin Chen ◽

Mohit Chamania ◽

Admela Jukan ◽

André C. Drummond ◽

Nelson L. S. da Fonseca

Keyword(s):

Multipath Routing ◽

Distributed Data ◽

Data Intensive ◽

High Bandwidth ◽

Data Intensive Applications

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Location-aware associated data placement for geo-distributed data-intensive applications

2015 IEEE Conference on Computer Communications (INFOCOM) ◽

10.1109/infocom.2015.7218428 ◽

2015 ◽

Cited By ~ 32

Author(s):

Boyang Yu ◽

Jianping Pan

Keyword(s):

Data Placement ◽

Distributed Data ◽

Data Intensive ◽

Location Aware ◽

Data Intensive Applications ◽

Associated Data

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Proceedings of the 2011 workshop on Dynamic distributed data-intensive applications, programming abstractions, and systems - 3DAPAS '11

10.1145/1996010 ◽

2011 ◽

Keyword(s):

Distributed Data ◽

Data Intensive ◽

Programming Abstractions ◽

Data Intensive Applications

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Genetic Based Data Placement for Geo-Distributed Data-Intensive Applications in Cloud Computing

Lecture Notes in Computer Science - Advances in Services Computing ◽

10.1007/978-3-319-49178-3_20 ◽

2016 ◽

pp. 253-265 ◽

Cited By ~ 1

Author(s):

Weifeng Fan ◽

Jun Peng ◽

Xiaoyong Zhang ◽

Zhiwu Huang

Keyword(s):

Cloud Computing ◽

Data Placement ◽

Distributed Data ◽

Data Intensive ◽

Data Intensive Applications

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An SCP-based heuristic approach for scheduling distributed data-intensive applications on global grids

Journal of Parallel and Distributed Computing ◽

10.1016/j.jpdc.2007.07.004 ◽

2008 ◽

Vol 68 (4) ◽

pp. 471-487 ◽

Cited By ~ 32

Author(s):

Srikumar Venugopal ◽

Rajkumar Buyya

Keyword(s):

Heuristic Approach ◽

Distributed Data ◽

Data Intensive ◽

Data Intensive Applications

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Compiler optimizations for Java aglets in distributed data intensive applications

Proceedings of the 2002 ACM symposium on Applied computing - SAC '02 ◽

10.1145/508791.508809 ◽

2002 ◽

Cited By ~ 5

Author(s):

Abhishek Singh ◽

Santosh Pande

Keyword(s):

Distributed Data ◽

Compiler Optimizations ◽

Data Intensive ◽

Data Intensive Applications

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A Set Coverage-based Mapping Heuristic for Scheduling Distributed Data-Intensive Applications on Global Grids

2006 7th IEEE/ACM International Conference on Grid Computing ◽

10.1109/icgrid.2006.311021 ◽

2006 ◽

Cited By ~ 13

Author(s):

Srikumar Venugopal ◽

Rajkumar Buyya

Keyword(s):

Distributed Data ◽

Data Intensive ◽

Data Intensive Applications

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Adaptive performance prediction for distributed data-intensive applications

Proceedings of the 1999 ACM/IEEE conference on Supercomputing (CDROM) - Supercomputing '99 ◽

10.1145/331532.331568 ◽

1999 ◽

Cited By ~ 12

Author(s):

Marcio Faerman ◽

Alan Su ◽

Richard Wolski ◽

Francine Berman

Keyword(s):

Performance Prediction ◽

Distributed Data ◽

Adaptive Performance ◽

Data Intensive ◽

Data Intensive Applications

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Decoupling computation and data scheduling in distributed data-intensive applications

Proceedings 11th IEEE International Symposium on High Performance Distributed Computing HPDC-02 ◽

10.1109/hpdc.2002.1029935 ◽

2003 ◽

Cited By ~ 167

Author(s):

K. Ranganathan ◽

I. Foster

Keyword(s):

Distributed Data ◽

Data Scheduling ◽

Data Intensive ◽

Data Intensive Applications

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Supporting load balancing for distributed data-intensive applications

2009 International Conference on High Performance Computing (HiPC) ◽

10.1109/hipc.2009.5433204 ◽

2009 ◽

Cited By ~ 5

Author(s):

Leonid Glimcher ◽

Vignesh T. Ravi ◽

Gagan Agrawal

Keyword(s):

Load Balancing ◽

Distributed Data ◽

Data Intensive ◽

Data Intensive Applications

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