دانلود مقاله ISI انگلیسی شماره 74202
ترجمه فارسی عنوان مقاله

تجزیه و تحلیل عملکرد شبکه محور مهاجرت برنامه زمان اجرا در رایانش ابری موبایل ☆

عنوان انگلیسی
Network-centric performance analysis of runtime application migration in mobile cloud computing ☆
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
74202 2015 15 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Simulation Modelling Practice and Theory, Volume 50, January 2015, Pages 42–56

ترجمه کلمات کلیدی
رایانش ابری موبایل؛ offloading نرم افزار / مهاجرت؛ اجرای نرم افزار یکپارچه - تجزیه و تحلیل عملکرد؛ نرم افزار تلفن همراه مبتنی بر ابر
کلمات کلیدی انگلیسی
Mobile cloud computing; Application offloading/migration; Seamless application execution; Performance analysis; Cloud-based mobile application
پیش نمایش مقاله
پیش نمایش مقاله  تجزیه و تحلیل عملکرد شبکه محور مهاجرت برنامه زمان اجرا در رایانش ابری موبایل ☆

چکیده انگلیسی

Mobile cloud computing alleviates the limitations of resource-constrained mobile devices by leveraging the cloud resources. Currently, software-level solutions, also known as computational offloading, migrate the cloud-based mobile applications at runtime to the cloud datacenter to optimize the application execution time. However, the application execution frameworks mainly focus on migrating the application without considering the various critical network-centric parameters, such as traffic load and mobility speed, in application migration decision. In this paper, we analyze the effect of network-centric parameters on the application migration process. The performance of the migration process is analyzed by simulating the migration process in OMNeT++. The effects of various parameters, such as number of users in a WLAN, size of a file containing the application and its running states, traffic load on the wireless access point, message length, number of hops to the cloud, and mobility speed, are studied on the application performance metrics such as application migration time and packet drop ratio. Our analysis shows that the application and its running states migration time is affected by the changes in the network conditions. Based on our research findings, we recommend application execution framework designers to incorporate the network-centric parameters along with other parameters in the decision process of the application migration.