A queueing analytical model for service mashup in mobile cloud computing

In this paper, we present a modeling technique of using Jackson's network theorem to characterize the performance of mashup multiple servers in cloud computing environments. The key challenge in providing new mashup mobile applications in cloud computing, such as the real-time location-based se...

Full description

Saved in:
Bibliographic Details
Published in2013 IEEE Wireless Communications and Networking Conference (WCNC) pp. 2096 - 2101
Main Authors Wei-Ping Yang, Li-Chun Wang, Hung-Pin Wen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2013
Subjects
Analytical models
average waiting time
Cloud computing
Load modeling
mashup system
Mashups
Mobile communication
non-preemptive
Quality of service
queueing theory
Servers
Online AccessGet full text

Cover

More Information
Summary:In this paper, we present a modeling technique of using Jackson's network theorem to characterize the performance of mashup multiple servers in cloud computing environments. The key challenge in providing new mashup mobile applications in cloud computing, such as the real-time location-based services, is to evaluate the overall delay resulting from integrating multiple cloud servers. Furthermore, the number of virtual machines (VM) will affect the quality of service (QoS) for mobile applications with various traffic loads. However, an effective analytical model to characterize both the effects of integrating multiple cloud servers and scalable VMs is rarely seen in the literature. The proposed multi-cloud mashup analytical model can calculate the service waiting time for various numbers of VMs and different arrival rates. Through simulations and analysis, we show that for various numbers of VMs and traffic loads, the proposed model can accurately predict the breakpoint where the waiting time in mashup cloud servers will sharply increase. Hence, the proposed mashup multi-cloud analytical model can facilitate the management of resource in future cloud data centers.
ISBN:9781467359382
1467359386
ISSN:1525-3511
1558-2612
DOI:10.1109/WCNC.2013.6554886