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Predictive performance modeling of virtualized storage systems using optimized statistical regression techniques
2013
Proceedings of the ACM/SPEC international conference on International conference on performance engineering - ICPE '13
Modern virtualized environments are key for reducing the operating costs of data centers. By enabling the sharing of physical resources, virtualization promises increased resource efficiency with decreased administration costs. With the increasing popularity of I/O-intensive applications, however, the virtualized storage used in such environments can quickly become a bottleneck and lead to performance and scalability issues. Performance modeling and evaluation techniques applied prior to system
doi:10.1145/2479871.2479910
dblp:conf/wosp/NoorshamsBKR13
fatcat:dpz3vkdxvzfjxhmisuqhvkgrky