A Lightweight Secure Cyber Foraging Infrastructure for Resource-Constrained Devices

Journal of Network and Computer Applications

et al. 2014

Despite recent advances in mobile hardware, most mobile devices still fall short to execute complex multimedia applications with real-time requirements such as augmented reality (AR). Because offloading the application to the cloud is not always a solution due to the high and often unpredictable WAN latencies, the concept of cloudlets has been introduced: nearby infrastructure offering virtual machines for remote execution.In this paper we present a cloudlet platform, providing two important contributions. First, the platform allows cloudlets to be formed in a dynamic way, including (fixed) virtualized infrastructure co-located with the wireless access point, as well as any device in the LAN network supporting the platform. The approach can also be extended towards the cloud, facilitating distribution of applications over three tiers (i.e. the device, the cloudlet and the cloud). Second, instead of moving a complete virtual machine to the cloudlet, we propose a more fine-grained approach, by managing and deploying applications on the component level. Application components are declared by the developer, together with their real-time constraints and configuration parameters, which are configured and distributed among the cloudlet by the platform at runtime depending on the application context, in order to meet the constraints and to optimize the user experience.An OSGi-based prototype implementation on the Android platform is highlighted and evaluated using a mobile AR use case, showing the need for a component-based approach for the cloudlet.

Section: Related Workmentioning

confidence: 99%

Adaptive deployment and configuration for mobile augmented reality in the cloudlet

Journal of Network and Computer Applications

et al. 2014

“…As surrogates for remote execution, Goyal et al [21] propose the usage of virtual machine technology. Because the deployment of virtual machines in a cloud can lead to high WAN latencies, Su et al present Slingshot [22], where the VMs are co-located with the wireless access point.…”

Section: Related Workmentioning

confidence: 99%

AIOLOS: Middleware for improving mobile application performance through cyber foraging

Journal of Systems and Software

et al. 2012

As the popularity of smartphones and tablets increases, the mobile platform is becoming a very important target for application developers. Despite recent advances in mobile hardware, most mobile devices fail to execute complex multimedia applications (such as image processing) with an acceptable level of user experience. Cyber foraging is a well-known computing technique to enhance the capabilities of mobile devices, where the mobile device offloads parts of the application to a nearby discovered server in the network.Although first introduced in 2001, cyber foraging is still not widely adopted in current smartphone platforms or applications. In this respect, two major challenges are to be tackled. First, a suitable adaptive decision engine is needed to determine the optimal offloading decision, that takes into account the potentially high and variable latency between the device and the server. Second, an integrated cyber foraging platform with sufficient support for application developers is not publicly available on popular mobile platforms such as Android.In this paper, we present AIOLOS, a mobile middleware framework for cyber foraging on the Android platform. AIOLOS uses an estimation model that takes into account server resources and network state to decide at runtime whether or not a method call should be offloaded. We also introduce developer tools to integrate the AIOLOS framework in the Android platform, enabling easy development of cyber foraging enabled applications. A prototype implementation is presented and evaluated in detail by means of both a chess application and a newly developed photo editor application.

“…Goyal et al [6] propose the use of virtualization on the infrastructure for remote execution. Here a client can request a virtual machine (VM) with specific resource guarantees to offload services to.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Application Configuration and Distribution in Mobile Cloudlet Middleware

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

et al. 2013

Abstract. Despite recent advances in mobile device capabilities in terms of CPU power, memory, connectivity, etc, these devices still fall short to execute complex media rich and data analysis applications. Therefore, the concept of cloudlets was introduced, where nearby infrastructure is used by the mobile user for code offloading. However, the way this infrastructure is used is often left to the application developer, leading to a best effort approach in utilizing remote resources. In this paper we present a middleware approach for such cloudlet environments, that manages mobile applications on a component level. The middleware monitors application components in the cloudlet, and optimizes both the configuration and the deployment of all components in the cloudlet for the current execution context. We present a prototype implementation of the middleware platform, and show the effectiveness of our adaptation strategy using an augmented reality use case.