Robust Orchestration of Concurrent Application Workflows in Mobile Device Clouds

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Pubblicato in:	arXiv.org (Jan 5, 2017), p. n/a
Autore principale:	Pandey, Parul
Altri autori:	Viswanathan, Hariharasudhan, Pompili, Dario
Pubblicazione:	Cornell University Library, arXiv.org
Soggetti:	Data centers Task scheduling Applications programs Harnesses Electronic devices Cloud computing Computer networks Computer simulation Distributed processing Mobile communication systems Mobile computing
Accesso online:	Citation/Abstract Full text outside of ProQuest
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Descrizione
Abstract:	A hybrid mobile/fixed device cloud that harnesses sensing, computing, communication, and storage capabilities of mobile and fixed devices in the field as well as those of computing and storage servers in remote datacenters is envisioned. Mobile device clouds can be harnessed to enable innovative pervasive applications that rely on real-time, in-situ processing of sensor data collected in the field. To support concurrent mobile applications on the device cloud, a robust and secure distributed computing framework, called Maestro, is proposed. The key components of Maestro are (i) a task scheduling mechanism that employs controlled task replication in addition to task reallocation for robustness and (ii) Dedup for task deduplication among concurrent pervasive workflows. An architecture-based solution that relies on task categorization and authorized access to the categories of tasks is proposed for different levels of protection. Experimental evaluation through prototype testbed of Android- and Linux-based mobile devices as well as simulations is performed to demonstrate Maestro's capabilities.
ISSN:	2331-8422
Fonte:	Engineering Database