This paper elaborates on practical considerations, such as location and capacity issues to offload resources, by adopting a rack based approach for the implementation. The proposed cooperative migration of resources enables efficient resource manipulation without any intermittent execution of the claimed tasks by the mobile devices, while it significantly reduces crash failures that lead all servers to become unavailable within a rack. In addition, this paper presents a modular resource migration scheme for failure-aware resource allocation, where according to the estimated performance of the resource sharing process (e.g. access time, service delay etc.) resources are migrated to another cloud rack based on the associated performance-oriented metrics. The proposed architecture is thoroughly evaluated through simulation tests for the resource migration policy used in the context of cloud rack failures for delay-bounded resource availability of mobile users, as well as for the efficiency of the proposed resource migration scheme.
This chapter presents a dynamic cloud computing scheme for efficient resource migration and 3D media content processing in mobile computing environments. It elaborates on location and capacity issues to offload resources from mobile devices due to their processing limitations, towards efficiently manipulating 3D video content. The proposed scheme adopts a rack-based approach that enables cooperative migration for redundant resources to be offloaded towards facilitating 3D media content manipulation. The rack-based approach significantly reduces crash failures that lead all servers to become unavailable within a rack and enables mobile devices with limited processing capabilities to reproduce multimedia services at an acceptable level of quality of experience (QoE). The presented scheme is thoroughly evaluated through simulation tests, where the resource migration policy was used in the context of cloud rack failures for delay-bounded resource availability of mobile users. IntroductionUtility computing [1] offers synchronous and asynchronous availability of services, in the context of cloud computing paradigm. The services offered through utilitybased cloud computing platforms, mainly emerged from the appearance of public
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