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Abstract-End user experiences on mobile devices with their rich sets of sensors are constrained by limited device battery lives and restricted form factors, as well as by the 'scope' of the data available locally. The 'Personal Cloud' distributed software abstractions address these issues by enhancing the capabilities of a mobile device via seamless use of both nearby and remote cloud resources. In contrast to vendor-specific, middleware-based cloud solutions, Personal Cloud instances are created at hypervisorlevel, to create for each end user the federation of networked resources best suited for the current environment and use. Specifically, the Cirrostratus extensions of the Xen hypervisor can federate a user's networked resources to establish a personal execution environment, governed by policies that go beyond evaluating network connectivity to also consider device ownership and access rights, the latter managed in a secure fashion via standard Social Network Services. Experimental evaluations with both Linux-and Android-based devices, and using Facebook as the SNS, show the approach capable of substantially augmenting a device's innate capabilities, improving application performance and the effective functionality seen by end users.

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With an ever increasing number of networked devices used in mobile settings, or residing in homes, offices, and elsewhere, there is a plethora of potential computational infrastructure available for providing end users with new functionality and improved experiences for their interactions with the cyberphysical world. The goal of our research is to permit end user applications to take advantage of dynamically available, local and remote computational infrastructure, without requiring applications to be explicitly rewritten and/or reconfigured for each scenario and with minimal end user intervention.Edge Cloud Composites (ECC) make possible the dynamic creation of virtual computational platforms that (i) can be composed from specific capabilities -competences -of participating devices, (ii) are guided by end user-centric abstractions capturing current user context and user intent, and (iii) use dynamic methods for device discovery and ECC maintenance. In contrast to datacenter clouds, ECC participants can include both virtualized and non-virtualized devices, and in addition, services running remotely, made possible by ECC's CIC abstractions, where C(ompetence) captures the functional capabilities of accessible devices and/or remote services, (I)ntent articulates end user desires, and (C)ontext describing the current operating environment.Concrete examples prototyped in this work include Android applications for distributed video playback, collaborative UI, and a distributed augmented reality application. For all such applications, an ECC composed from available devices, and guided by ECC's CIC notions, obtains up to 86% performance improvements and reductions in energy consumption of up to 37% compared to running on a single device. A resultant advantage in using ECCs to run applications is the ability to avoid the unpredictable latency variations seen in deviceremote cloud interactions.