Paper Info
Title
Toward Enhancing Block I/O Performance for Virtualized Hadoop Cluster
Abstract
Virtualization offers many advantages by providing server consolidation, isolation, and live migration. In cloud computing environments, virtual machine monitor is an essential part for efficient management of physical resources. Recently, processing big data is important to both most cloud service providers and users. In this paper, the performance of Xen based Hadoop cluster is analyzed, especially related to block device I/O. In addition, the overhead transferring I/O requests are introduced with Xen I/O ring mechanism, and the experimental result of our optimization for Hadoop workloads is presented. The proposed approach reduces CPU utilization by a third during I/O operations and improve throughput of Hadoop applications.
Year
DOI
Venue
2014
10.1109/UCC.2014.61
UCC
Keywords
Field
DocType
Para Virtualization, Block I/O, Hadoop, Xen
Virtualization,Virtual machine,Hardware virtualization,Live migration,Computer science,Hypervisor,Input/output,Full virtualization,Operating system,Embedded system,Cloud computing
Conference
ISSN
Citations 
PageRank 
2373-6860
2
0.41
References 
Authors
2
3
Name
Order
Citations
PageRank
Byeong-Moon Ko120.41
Joonwon Lee2143890.35
Heeseung Jo367439.34