DocumentCode :
244126
Title :
Benchmarking Private Cloud Performance with User-Centric Metrics
Author :
Bin Sun ; Hall, B. ; Hu Wang ; Da Wei Zhang ; Kai Ding
Author_Institution :
IBM Toronto Software Lab., IBM China Dev. Lab., Beijing, China
fYear :
2014
fDate :
11-14 March 2014
Firstpage :
311
Lastpage :
318
Abstract :
Cloud computing is a new paradigm for the delivery of IT services. It has enabled many promising opportunities for features that cannot be easily implemented in traditional IT environments, such as elastic scalability, self-service deployment, resiliency and recovery, and so forth. Benchmarking the cloud requires a well-defined set of cloud performance metrics that should be able to sensitively distinguish the capabilities of cloud systems that enable those features. One way of defining benchmark metrics is based on observations of the internal mechanisms in a cloud. For example, an elasticity evaluation may be based on measuring a resource provisioning interval in the cloud. However, a more meaningful evaluation should be based on user-centric metrics. In this article, we will introduce a set of performance metrics that can be directly measured, calculated and compared by the cloud users, including workload consumers and the users who deploy and manage the workload life cycles. We will also discuss ways to organize the user-centric metrics, with different emphasis, into a benchmark that represents different use cases.
Keywords :
cloud computing; data privacy; resource allocation; IT service delivery; cloud benchmarking; cloud computing; cloud performance metrics; information technology; performance metrics; private cloud performance; resource provisioning interval; user-centric metrics; workload life cycles; Benchmark testing; Cloud computing; Elasticity; Measurement; Runtime; Throughput; Time factors; Benchmark; Cloud Computing; Performance evaluation; Performance metrics; SLA; Use Case;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Engineering (IC2E), 2014 IEEE International Conference on
Conference_Location :
Boston, MA
Type :
conf
DOI :
10.1109/IC2E.2014.74
Filename :
6903488
Link To Document :
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