This paper explores the relationship between I/O scheduling in a virtual machine monitor
(VMM) and performance of Map Reduce applications running on the virtual machines (VMs) …

Recently, virtualized environments such as cloud computing and a virtual cluster are used
popularly by lots of MapReduce applications to reap the benefits of low cost and flexibility …

Virtual machine (VM) interference has long been a challenging problem for performance
predictability and system throughput for large-scale virtualized environments in the cloud …

The existing MapReduce framework in virtualized environment suffers from poor
performance, due to the heavy overhead of I/O virtualization, and management difficulty for …

Map Reduce cluster is emerging as a solution of data-intensive scalable computing system.
The open source implementation Hadoop has already been adopted for building clusters …

Hyper visors are widely used in cloud environments and their impact on application
performance has been a topic of significant research and practical interest. We conducted …

Hadoop an implementation of Google's MapReduce, is widely used in these days for big
data analysis. Yahoo Inc. operated 25 PB with 25,000 nodes in 2010. The resource …

In Hadoop MapReduce, reduce tasks issue massive remote I/O operations to copy the
intermediate results of map tasks. The operations cause massive remote data access delays …

Map Reduce has emerged as a popular computing model for parallel processing of cloud
computing. Map Reduce performance analysis and modeling is needed to guide …

Virtualized environments are attractive because they simplify cluster management, while
facilitating cost-effective workload consolidation. As a result, virtual machines in public …