Cloud-based Mobile Services Research Articles

Controlling User Access to Cloud-Connected Mobile Applications by Means of Biometrics

Cloud-connected mobile applications are becoming a popular solution for ubiquitous access to online services, such as cloud data storage platforms. The adoption of such applications has brought security and privacy implications that are making individuals hesitant to migrate sensitive data to the Cloud; thus, new secure authentication protocols are needed. In this paper, we propose a continuous authentication approach integrating physical (face) and behavioral (touch and hand movements) biometrics to control user access to Cloud-based mobile services, going beyond one-off login. Experimental results show the security-usability tradeoff achieved by our approach.

Cloud-based mobile service provisioning for system performance optimisation

Currently, the mobile applications require intensive computational resources, particularly CPUs, RAMs, storage and battery to successfully complete the expected computing operation. Although distant clouds feature high availability and elastic scalability, and performance gain of utilising such resources is decreased by high communication latency due to large number of intermediate hops between the mobile device and the distant public clouds. Therefore, local cloud is suitable choice for some mobile devices. In this paper, hybrid cloud-assisted mobile service optimisation model is proposed to tackle limited resources of mobile devices and enhance the overall system performance. The aim of hybrid cloud-assisted mobile service optimisation is that mobile cloud system utility is optimised while satisfying huge number of mobile requests and improving individual user's quality of service (QoS) and reducing system overheads. The hybrid cloud-assisted mobile service scheduling algorithm enables mobile applications conducted on mobile devices to complete all tasks by leveraging computing resources of public cloud and local cloud. The proposed algorithm is validated through a series of experiments.

An evaluation of cloud-based mobile services with limited capacity: a linear approach

Mobile computing is pervading networks at an increasing speed as mobile devices are used with diverse forms of wireless technologies to access data. This paper evaluates different cloud-supported mobile services subject to limited capacity, as the selection of a service may introduce additional costs, such as those that derive from the additional amount of memory required for processing. In this context, a novel linear model and algorithm in the mobile cloud computing environment are proposed from the service capacity perspective, considering the cost that derives from the unused capacity. The probability of overutilization or underutilization of the selected service is also researched, once a linear growth in the number of users occurs. To further make effective and strategic investment decisions when selecting the appropriate cloud-based mobile service to lease off, the model formulation is based on a cost–benefit appraisal. The proposed quantification approach is evaluated with respect to four different case scenarios, exploiting a web tool that has been developed as a proof of concept and implementing the algorithm to calculate and compare the benefits and costs in the mobile cloud-based service level.

Cloud-based Mobile Service Provisioning For System Performance Optimization

Currently, the mobile applications require intensive computational resources, particularly CPUs, RAMs, storage and battery to successfully complete the expected computing operation. Although distant clouds feature high availability and elastic scalability, and performance gain of utilising such resources is decreased by high communication latency due to large number of intermediate hops between the mobile device and the distant public clouds. Therefore, local cloud is suitable choice for some mobile devices. In this paper, hybrid cloud-assisted mobile service optimisation model is proposed to tackle limited resources of mobile devices and enhance the overall system performance. The aim of hybrid cloud-assisted mobile service optimisation is that mobile cloud system utility is optimised while satisfying huge number of mobile requests and improving individual user's quality of service (QoS) and reducing system overheads. The hybrid cloud-assisted mobile service scheduling algorithm enables mobile applications conducted on mobile devices to complete all tasks by leveraging computing resources of public cloud and local cloud. The proposed algorithm is validated through a series of experiments.