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FGIT
2011
Springer
12 years 7 months ago
Performance Evaluation of MapReduce Applications on Cloud Computing Environment, FutureGrid
This paper describes the result of performance evaluation of two kinds of MapReduce applications running in the FutureGrid: a data intensive application and a computation intensive...
Yunhee Kang, Geoffrey C. Fox
ICPADS
2010
IEEE
13 years 5 months ago
Enhancing MapReduce via Asynchronous Data Processing
The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...
Marwa Elteir, Heshan Lin, Wu-chun Feng
CLUSTER
2009
IEEE
14 years 2 months ago
Granules: A lightweight, streaming runtime for cloud computing with support, for Map-Reduce
— Cloud computing has gained significant traction in recent years. The Map-Reduce framework is currently the most dominant programming model in cloud computing settings. In this ...
Shrideep Pallickara, Jaliya Ekanayake, Geoffrey Fo...
EUROPAR
2009
Springer
14 years 2 months ago
MapReduce Programming Model for .NET-Based Cloud Computing
Recently many large scale computer systems are built in order to meet the high storage and processing demands of compute and data-intensive applications. MapReduce is one of the mo...
Chao Jin, Rajkumar Buyya
OSDI
2008
ACM
14 years 7 months ago
Improving MapReduce Performance in Heterogeneous Environments
MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data mining, and scientific simulation. Hadoop is an open-...
Matei Zaharia, Andy Konwinski, Anthony D. Joseph, ...