Effective modeling approach for iaas data center performance analysis under heterogeneous workload

TitleEffective modeling approach for iaas data center performance analysis under heterogeneous workload
Publication TypeJournal Article
Year of Publication2018
AuthorsX Chang, R Xia, JK Muppala, KS Trivedi, and J Liu
JournalIeee Transactions on Cloud Computing
Volume6
Issue4
Start Page991
Pagination991 - 1003
Date Published10/2018
Abstract

© 2013 IEEE. Heterogeneity prevails not only among physical machines but also among workloads in real IaaS Cloud data centers (CDCs). The heterogeneity makes performance modeling of large and complex IaaS CDCs even more challenging. This paper considers the scenario where the number of virtual CPUs requested by each customer job may be different. We propose a hierarchical stochastic modeling approach applicable to IaaS CDC performance analysis under such a heterogeneous workload. Numerical results obtained from the proposed analytic model are verified through discrete-event simulations under various system parameter settings.

DOI10.1109/TCC.2016.2560158
Short TitleIeee Transactions on Cloud Computing