A heterogeneous cloud system, for example, a Hadoop 2.6. 0 platform, provides distributed
but cohesive services with rich features on large‐scale management, reliability, and error …

Data center hosting is in higher demand to fulfill the computing and storage requirements of
information technology (IT) and cloud services platforms which need more electricity to …

Since MapReduce became an effective and popular programming framework for parallel
data processing, key skew in intermediate data has become one of the important system …

One of the most successful techniques in large-scale data-intensive computations is
MapReduce programming. MapReduce is based on a divide and conquer approach that …

Cloud computing is a distributed computing system, where the user will utilize the
dynamically provisioned resources including storage, processing, network, etc. This has …

For frequent disk I/O and large data transmissions among different racks and physical
nodes, intermediate data communication has become the most important performance bottle …

Pay-as-you-consume, as a new type of cloud computing paradigm, has become increasingly
popular since a large number of cloud services are gradually opening up to consumers. It …

In many MapReduce applications, there is an unbalanced distribution of intermediate map-
outputs to the reducers. The partitioner determines the load on the reducers. The completion …

Distributed Computing has achieved tremendous development since cloud computing was
proposed in 2006, and played a vital role promoting rapid growth of data collecting and …

The application development industry has moved into cloud computing for stratifying the
need of the customer for higher availability and higher scalability. The cloud computing …