Paper Info
Title
Elasticity Evaluation of IaaS Cloud Based on Mixed Workloads
Abstract
Elasticity mechanism is the important feature of infrastructure clouds, which can add or remove resources to adapt the workload change. The elasticity mechanism impacts the quality of service and service level agreement. However, the performance of elasticity is hard to quantity. There are no efficient benchmarks to evaluate the elasticity mechanism. Exiting methods haven't considerate the different evaluation metrics and mixed workloads. In this paper, we propose a new framework to evaluate the elasticity of IaaS cloud based on mixed workload. Firstly, we design different types and patterns workload for the infrastructure cloud. Then, we propose the aggregated metrics which are based on different aspects. Finally, we present the experiments of real-world demonstrating that our method is applicable on the commercial IaaS cloud and has efficient results of elasticity evaluation.
Year
DOI
Venue
2016
10.1109/ISPDC.2016.28
2016 15th International Symposium on Parallel and Distributed Computing (ISPDC)
Keywords
Field
DocType
Elasticity,Evaluation,Workload,Metrics
Computer science,Workload,Service-level agreement,Quality of service,Real-time computing,Elasticity (economics),Virtual machining,Cloud computing,Distributed computing
Conference
ISSN
ISBN
Citations 
2379-5352
978-1-5090-4153-4
0
PageRank 
References 
Authors
0.34
16
4
Name
Order
Citations
PageRank
Yazhou Hu1112.59
Bo Deng213.74
Yang Yu315138.02
Dongxia Wang4438.13