Research of vehicular cloud storage resource management based on trust mechanism

This article focuses on how to effectively make full use of the storage resources in vehicular cloud. A trust mechanism called DI-Trust (Trust Model Based on Dynamic Incentive Mechanism) is proposed to schedule vehicular cloud storage resource. The discussion is under the scenario of the parking lot where vehicle nodes are in static state. The model can reasonably arrange the suitable scheduling algorithm according to the attribute characteristics of different kind of service requirements. The trust value of a vehicle is updated according to the model to fully utilize the vehicle idle storage resources. The simulation experiment results show that the model can work effectively. It can objectively evaluate trust values of vehicle nodes, and construct the effective resource schedule of the vehicular cloud storage resource to meet needs from users.

Control and the Health Effects of Work–Family Conflict: A Longitudinal Test of Generalized Versus Specific Stress Buffering

The stress associated with work-to-family conflict (WFC) and family-to-work conflict (FWC) is well documented. However, surprisingly little is known about the resources that moderate the effects of work–family conflict on health over time. Using four waves of panel data from the Canadian Work, Stress, and Health Study (2011–2017; n = 11,349 person-wave observations), we compare how a core psychosocial resource (personal mastery) and a salient organizationally based resource (schedule control) moderate the health effects of WFC and FWC. After establishing these health effects related to distress and physical symptoms, we discover that mastery has generalized stress-buffering functions whereby it alleviates the health effects of both WFC and FWC. In contrast, schedule control has asymmetrical moderating functions: It attenuates the health effects of WFC only. These findings elaborate and sharpen the scope of resources as moderators in the stress process model—and we integrate these ideas with other conceptual models like the job demands-resources model.

Optimal Resource Scheduler for LTE A based Networks

Long Term Evolution (LTE) may be a commonplace for prime rate radio transmission for cellular telephone and knowledge terminal. It is a complex technology that provides an accumulated network capability and speed by employing a totally special wireless interface beside the counter work enhancements. In the proposed method we deal with the setback of bandwidth administration in LTE-A systems and suggest valuable and profitable solutions to improve the quality of support in these networks. This paper presents an Optimal Resource Schedule which enhances the system throughput of LTE A based networks