A Replication-Based Mechanism for Fault Tolerance in MapReduce Framework
MapReduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster. In cloud environment, node and task failure are no longer accidental but a common feature of large-scale systems. Current rescheduling-...
Main Authors: | Yang Liu, Wei Wei |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2015-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2015/408921 |
Similar Items
-
Study of Job Execution Performance, Reliability, Energy Consumption, and Fault Tolerance in the MapReduce Framework
by: Lin, Jia-Chun, et al.
Published: (2015) -
Fusion-based Hadoop MapReduce job for fault tolerance in distributed systems
by: Ho, Iat-Kei
Published: (2013) -
Privacy Preserving for MapReduce Netwok using SDN with MapReduce Virtual Management
by: Liu, Wei, et al.
Published: (2016) -
Efficient XML Data Processing based on MapReduce Framework
by: Wei-Chen Zeng, et al.
Published: (2015) -
Osprey: Implementing MapReduce-Style Fault Tolerance in a Shared-Nothing Distributed Database
by: Madden, Samuel R., et al.
Published: (2010)