Abstract
As a result of the greatly increased use of mobile devices, the disadvantages of portable devices have gradually begun to emerge. To solve these problems, the use of mobile cloud computing assisted by cloud data centers has been proposed. However, cloud data centers are always very far from the mobile requesters. In this paper, we propose an improved multi-objective local mobile cloud model: Compounded Local Mobile Cloud Architecture with Dynamic Priority Queues (LMCpri). This new architecture could briefly store jobs that arrive simultaneously at the cloudlet in different priority positions according to the result of auction processing, and then execute partitioning tasks on capable helpers. In the Scheduling Module, NSGA-II is employed as the scheduling algorithm to shorten processing time and decrease requester cost relative to PSO and sequential scheduling. The simulation results show that the number of iteration times that is defined to 30 is the best choice of the system. In addition, comparing with LMCque, LMCpri is able to effectively accommodate a requester who would like his job to be executed in advance and shorten execution time. Finally, we make a comparing experiment between LMCpri and cloud assisting architecture, and the results reveal that LMCpri presents a better performance advantage than cloud assisting architecture.
Highlights
As a result of advances in mobile communication technology, an increasing number of people are using mobile devices
To show that non-dominated sorting genetic algorithm II (NSGA-II) is a better choice for this special application, we compare it with Particle Swam Optimization (PSO) [24] and sequential scheduling, based on execution time and cost of the requester
When there are 40 jobs arrive at the same time, average execution time of jobs in LMCpri remains lower than 60s, but in Local Mobile Cloud Architecture with Queues (LMCque), it has raised more than one minute
Summary
As a result of advances in mobile communication technology, an increasing number of people are using mobile devices. Mobile devices, such as smart phones and tablets, play an important role in daily life. These portable devices provide convenience and pleasure to users and, in doing so, break the restrictions of time and space. The concept of cloud datacenters provides various solutions to these problems. Because such centers provide abundant computation and storage resources, handheld devices
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