Performance Modeling for Mashup Services in Cloud Computing

• Main Authors: Yang, Wei-Ping, 楊媁萍
• Other Authors: Wang, Li-Chung
• Format: Others
• Language: en_US
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/20896607109349079430

碩士 === 國立交通大學 === 電信工程研究所 === 99 === In this thesis, we apply Jackson's network queueing theorem to model the service mashup cloud computing environments. The key challenge in providing new mashup mobile applications in cloud computing, such as the real-time location-based services, lies in quantifying the delay resulting from integrating multiple cloud servers. Furthermore, it is necessary to consider the effects of adjusting the number of virtual machines (VMs) on the quality of service (QoS) of mobile applications for various traffic loads. However, an effective analytical model to characterize both the effects of integrating multiple cloud servers and scalable VMs is lacked in the literature. The proposed mashup multi-cloud analytical model can calculate the service waiting time for various numbers of VMs and different arrival rates. By simulations and analysis, we show that our model can accurately predict when the waiting time performance in mashup cloud servers will increase sharply for various numbers of VMs and traffic loads. Hence, the proposed mashup multi-cloud analytical model can facilitate the resource management design in future cloud data centers.