A hybrid mobile/fixed device cloud that harnesses sensing, computing,communication, and storage capabilities of mobile and fixed devices in thefield as well as those of computing and storage servers in remote datacentersis envisioned. Mobile device clouds can be harnessed to enable innovativepervasive applications that rely on real-time, in-situ processing of sensordata collected in the field. To support concurrent mobile applications on thedevice cloud, a robust and secure distributed computing framework, calledMaestro, is proposed. The key components of Maestro are (i) a task schedulingmechanism that employs controlled task replication in addition to taskreallocation for robustness and (ii) Dedup for task deduplication amongconcurrent pervasive workflows. An architecture-based solution that relies ontask categorization and authorized access to the categories of tasks isproposed for different levels of protection. Experimental evaluation throughprototype testbed of Android- and Linux-based mobile devices as well assimulations is performed to demonstrate Maestro's capabilities.
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