Abstract
In this paper, we propose a model for mobile application profiles, wireless interfaces, and cloud resources. First, an algorithm to allocate wireless interfaces and cloud resources has been introduced. The proposed model is based on the wireless network cloud (WNC) concept. Then, considering power consumption, application quality of service (QoS) profiles, and corresponding cost functions, a multi-objective optimization approach using an event-based finite state model and dynamic constraint programming method has been used to determine the appropriate transmission power, process power, cloud offloading and optimum QoS profiles. Numerical results show that the proposed algorithm saves the mobile battery life and guarantees both QoS and cost simultaneously. Moreover, it determines the best available cloud server resources and wireless interfaces for applications at the same time.
Highlights
Popularity of smartphones and related applications in various fields are increasing in everyday life significantly
Mobile users need to maintain a low level of power consumption and computation must be performed in the cloud
We assumed that each active application receives service from a specific cloud server and a wireless interface is selected for communication of each application
Summary
Popularity of smartphones and related applications in various fields are increasing in everyday life significantly. There are some trade-offs amongst power consumption, QoS parameters, and costs These objectives are dependent on network parameters, applications profiles, and cloud resources. Regarding the scalability advantage of public clouds and better QoS especially delay and power consumption of local clouds, MAPCloud is proposed in [37] This provided a means to select local and public clouds for mobile applications in order to increase the performance and scalability of the applications. A = {1, 2, .., i, ..I} states a set of mobile applications, CR = {1, .., j, , ..J} states a set of available cloud computing resources, and WN = {WN1, .., WNk, , ..WNK } represents accessible wireless network interfaces collection. Assuming that the mobile cloud computing centers are near the wireless access network, Internet delay may be considered as a Gaussian random variable. Mobile CPU process sharing feasibility is defined by Pr
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