Title :
PaaS-Oriented Performance Modeling for Cloud Computing
Author :
Zhang, Wenbo ; Huang, Xiang ; Chen, Ningjiang ; Wang, Wei ; Zhong, Hua
Author_Institution :
Technol. Center of Software Eng., Inst. of Software, Beijing, China
Abstract :
PaaS is one of the most popular paradigms of cloud computing and the performance guarantee of PaaS-oriented applications has been critically concerned. Performance models, such as a Layer Queue Network (LQN) model, are efficient at performance guaranteeing in a highly dynamic computing environment for their capabilities of capacity planning. However, it is not a trivial work to build and employ such models for a PaaS platform because of the lack of designs and the transaction-intensive feature of the PaaS-oriented applications. In this paper, a PaaS-oriented performance modeling approach is proposed. The LQN model of the PaaS-oriented application can be dynamically built through tracing their interactions with the PaaS platform. And the CPU consumptions, which are important to the accuracy of the LQN model, can be refined through a Kalman-filter method. A modeling tool is implemented and experimental results have shown the effectiveness of our approach.
Keywords :
Kalman filters; cloud computing; feature extraction; queueing theory; service-oriented architecture; CPU consumptions; Kalman filter method; LQN model; PaaS-oriented applications; PaaS-oriented performance modeling; capacity planning; cloud computing; dynamic computing environment; transaction-intensive feature; Cloud computing; Computational modeling; Kalman filters; Mathematical model; Predictive models; Servers; Cloud computing; PaaS; Performance modeling; Kalman-filter;
Conference_Titel :
Computer Software and Applications Conference (COMPSAC), 2012 IEEE 36th Annual
Conference_Location :
Izmir
Print_ISBN :
978-1-4673-1990-4
Electronic_ISBN :
0730-3157
DOI :
10.1109/COMPSAC.2012.59