Joint Task Offloading and Resource Allocation Strategy for DiffServ in Vehicular Cloud System
المؤلفون المشاركون
Liu, Zhanjun
Kang, Ya
Dai, Yingdi
Chen, Qianbin
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-02
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
A vehicular cloud (VC) can reduce latency and improve resource utilization of the Internet of vehicles by effectively using the underutilized computing resources of nearby vehicles.
Although the task offloading of the VC enhances road safety and traffic management on the Internet of vehicles and meets the low-latency requirements for driving safety services on the Internet of vehicles business, there are still some key challenges such as the resource allocation mechanism of differentiated services (DiffServ) and task offloading mechanism of improving user experience.
To address these issues, we study the task offloading and resource allocation strategy of the VC system where tasks generated by vehicles can be offloaded and executed cooperatively by vehicles in VC.
Specifically, the computing task is further divided into independent subtasks and executed in different vehicles in VC to maximize the offloading utility.
Considering the mobility of vehicles, the deadline of tasks, and the limited computing resources, we propose the optimization problem of task offloading in the VC system in the cause of improved user experience.
To characterize the difference in service requirements resulting from the diversity of tasks, a DiffServ model focusing on the pricing of a task is utilized.
The initial pricing of a task is tailored by the characteristics of the task and the uniqueness of the network status.
In this model, tasks are sorted and processed in order according to task pricing, so as to optimize resource allocation.
Numerical results show that the proposed scheme can effectively increase the resource utilization and task completion ratio.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kang, Ya& Liu, Zhanjun& Chen, Qianbin& Dai, Yingdi. 2020. Joint Task Offloading and Resource Allocation Strategy for DiffServ in Vehicular Cloud System. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1214613
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kang, Ya…[et al.]. Joint Task Offloading and Resource Allocation Strategy for DiffServ in Vehicular Cloud System. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1214613
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kang, Ya& Liu, Zhanjun& Chen, Qianbin& Dai, Yingdi. Joint Task Offloading and Resource Allocation Strategy for DiffServ in Vehicular Cloud System. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1214613
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1214613
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر