# Robust Orchestration of Concurrent Application Workflows in Mobile Device Clouds

## TL;DR

This paper introduces Maestro, a robust distributed framework for managing concurrent applications in mobile device clouds, enabling real-time processing and secure task management across mobile and fixed devices.

## Contribution

It proposes a novel task scheduling and deduplication framework, Maestro, for concurrent workflows in mobile device clouds, enhancing robustness and security.

## Key findings

- Maestro improves task robustness through controlled replication.
- The framework effectively manages concurrent workflows with deduplication.
- Experimental results demonstrate enhanced performance and security.

## 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.