Scalable Scientific Computing Algorithms Using MapReduce
Cloud computing systems, like MapReduce and Pregel, provide a scalable and fault tolerant environment for running computations at massive scale. However, these systems are designed primarily for data intensive computational tasks, while a large class of problems in scientific computing and business...
Main Author: | Xiang, Jingen |
---|---|
Language: | en |
Published: |
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/10012/7830 |
Similar Items
-
Scalable Scientific Computing Algorithms Using MapReduce
by: Xiang, Jingen
Published: (2013) -
Modeling the Performance of MapReduce Applications for the Cloud
by: Iván Carrera, et al.
Published: (2015-11-01) -
The realization of HITS algorithm based on MapReduce
by: YU Hui, et al.
Published: (2013-10-01) -
Power-Law Distributed Graph Generation With MapReduce
by: Renzo Angles, et al.
Published: (2021-01-01) -
An Efficient Platform for Large-Scale MapReduce Processing
by: Wang, Liqiang
Published: (2009)