Robust orchestration of concurrent application workflows in mobile device clouds

Parul Pandey, Hariharasudhan Viswanathan, Dario Pompili

Research output: Contribution to journalArticle

2 Scopus citations

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 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 trust. Experimental evaluation through prototype testbed of Android- and Linux-based mobile devices as well as simulations is performed to demonstrate Maestro's capabilities.

Original languageEnglish (US)
Pages (from-to)101-114
Number of pages14
JournalJournal of Parallel and Distributed Computing
Volume120
DOIs
StatePublished - Oct 2018

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence

Keywords

  • Application workflows
  • Controlled replication
  • Distributed computing
  • Mobile device clouds
  • Testbed

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