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	1. DMOO:Dynamic Mobility Oriented Task Offloading in Vehicular Edge Computing
	Cheng Ziqing, LI Zhiyong, Wang Qi, Nouioua Mourad
	Computer Science and Technology 29 April 2020
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (692K B)

	Abstract:The rapid development of smart vehicles and their applications constrained by computing resource and time response pose crucial problems in vehicle-to-vehicle (V2V) communications, such as how to provide the required computation capabilities and how to ensure the accomplishment of tasks within a limited time. Mobile edge computing (MEC) has emerged as a new paradigm that can be used to improve vehicular services through computation offloading among smart vehicles. However, new challenges may be encountered in MEC for V2V communication due to the highly dynamic mobility of vehicles. In this paper, we propose a dynamic-mobility-oriented offloading solution(DMOO) for delay-constrained vehicular computation offloading. Specifically, to overcome the problems caused by mobility and limited resources, we design a risk assessment model to estimate the probability for vehicles to be out of range and then develop a discrete artificial bee colony algorithm based on this model to balance the offloading utility and potential risks. Extensive experiment result demonstrate that our solution can significantly enhance the utility and reduce risk compared to other baselines.
	TO cite this article:Cheng Ziqing, LI Zhiyong, Wang Qi, et al. DMOO:Dynamic Mobility Oriented Task Offloading in Vehicular Edge Computing[OL].[29 April 2020] http://en.paper.edu.cn/en_releasepaper/content/4751873


	2. A Process Driven Architecture of Analytical Customer Relationship Management Systems
	Liu Jun,Wu Yu
	Computer Science and Technology 08 December 2010
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (4K B)

	Abstract:Analytical Customer Relationship Management(CRM) systems which have been proved to be important for enterprises' survive and development, are able to discover valuable knowledge from large scale operational and historical data. In this paper, we propose a process driven architecture of analytical CRM systems based on an existing architecture which has been proved to be feasible in a project. In this architecture, we mainly integrate distributed technology which make this solution more practical and is adapted to the Web environment.
	TO cite this article:Liu Jun,Wu Yu. A Process Driven Architecture of Analytical Customer Relationship Management Systems[OL].[ 8 December 2010] http://en.paper.edu.cn/en_releasepaper/content/4394145

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